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Lee, Yongki, Taewon Ahn, Chanhwa Lee, Sangjun Kim und Kihong Park. „A Novel Path Planning Algorithm for Truck Platooning Using V2V Communication“. Sensors 20, Nr. 24 (08.12.2020): 7022. http://dx.doi.org/10.3390/s20247022.
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In truck platooning, the leading vehicle is driven manually, and the following vehicles run by autonomous driving, with the short inter-vehicle distance between trucks. To successfully perform platooning in various situations, each truck must maintain dynamic stability, and furthermore, the whole system must maintain string stability. Due to the short front-view range, however, the following vehicles’ path planning capabilities become significantly impaired. In addition, in platooning with articulated cargo trucks, the off-tracking phenomenon occurring on a curved road makes it hard for the following vehicle to track the trajectory of the preceding truck. In addition, without knowledge of the global coordinate system, it is difficult to correlate the local coordinate systems that each truck relies on for sensing environment and dynamic signals. In this paper, in order to solve these problems, a path planning algorithm for platooning of articulated cargo trucks has been developed. Using the Kalman filter, V2V (Vehicle-to-Vehicle) communication, and a novel update-and-conversion method, each following vehicle can accurately compute the trajectory of the leading vehicle’s front part for using it as a target path. The path planning algorithm of this paper was validated by simulations on severe driving scenarios and by tests on an actual road. The results demonstrated that the algorithm could provide lateral string stability and robustness for truck platooning.
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Sollins, Brandon, Dar-Wei Chen, Lauren Reinerman-Jones und Ron Tarr. „Truck Driving Distractions“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58, Nr. 1 (September 2014): 2171–75. http://dx.doi.org/10.1177/1541931214581456.
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3
Geng, Zhaoshi, Xiaofeng Ji, Rui Cao, Mengyuan Lu und Wenwen Qin. „A Conflict Measures-Based Extreme Value Theory Approach to Predicting Truck Collisions and Identifying High-Risk Scenes on Two-Lane Rural Highways“. Sustainability 14, Nr. 18 (07.09.2022): 11212. http://dx.doi.org/10.3390/su141811212.
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Collision risk identification and prediction is an effective means to prevent truck accidents. However, most existing studies focus only on highways, not on two-lane rural highways. To predict truck collision probabilities and identify high-risk scenes on two-lane rural highways, this study first calculated time to collision and post-encroachment time using high-precision trajectory data and combined them with extreme value theory to predict the truck collision probability. Subsequently, a traffic feature parameter system was constructed with the driving behavior risk parameter. Furthermore, machine learning algorithms were used to identify critical feature parameters that affect truck collision risk. Eventually, extreme value theory based on time to collision and post-encroachment time incorporated a machine learning algorithm to identify high-risk truck driving scenes. The experiments showed that bivariate extreme value theory integrates the applicability of time to collision and post-encroachment time for different driving trajectories of trucks, resulting in significantly better prediction performances than univariate extreme value theory. Additionally, the horizontal curve radius has the most critical impact on truck collision; when a truck is driving on two-lane rural highways with a horizontal curve radius of 227 m or less, the frequency and probability of collision will be higher, and deceleration devices and central guardrail barriers can be installed to reduce risk. Second is the driving behavior risk: the driving behavior of truck drivers on two-lane rural highways has high-risk, and we recommend the installation of speed cameras on two-lane rural roads to control the driving speed of trucks and thus avoid dangerous driving behaviors. This study extends the evaluation method of truck collisions on two-lane rural highways from univariate to bivariate and provides a basis for the design of two-lane rural highways and the development of real-time dynamic warning systems and enforcement for trucks, which will help prevent and control truck collisions and alleviate safety problems on two-lane rural highways.
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Zuo, Yong Gang, Zhu Xin Li, Jun Chen, Jing Yang und Zhen Zhang. „Study on Driving Safety of Refueling Truck“. Advanced Materials Research 774-776 (September 2013): 433–37. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.433.
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In this paper,lateral slip, longitudinal slip, lateral overturning and longitudinal overturning of refueling truck are studied according to petroleum sloshing of refueling truck tank driving on road,the rules that driving safety of refueling truck changes with related parameters variation when Refueling Truck is been driven on ramp is analyzed, the unsafe factors causing driving instability is found.
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Abdelkareem, Mohamed AA, Mina MS Kaldas, Mohamed Kamal Ahmed Ali und Lin Xu. „Analysis of the energy harvesting potential–based suspension for truck semi-trailer“. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, Nr. 11 (17.11.2018): 2955–69. http://dx.doi.org/10.1177/0954407018812276.
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As the articulated trucks are mainly used for long distance transportations, the design of the suspension system became a major concern and a research hotspot not only for ride comfort and driving safety but also for energy consumption. Therefore, the objective of this study is to conduct a comprehensive parametrical–based conflict analysis between the ride comfort and road holding together with the potential power of the shock absorbers. The simulation analysis is performed using a 23 degree-of-freedom full truck semi-trailer mathematical model with random road surface model. The bounce and combined excitation modes for the truck model are applied to present the pro and contra of the simplified and realistic analysis. The bounce mode is applied for a road Class C and truck driving speed of 20 m/s, while the combined mode is performed with the same truck-speed but considering a Class C road for the left track and Class D road for the right track considering the time delay between the truck axles. The truck dynamics including the mean potential power, average dynamic tire load and bounce, and pitch and roll accelerations is comprehensively combined in the conflict analysis–based suspension and driving parameters. The obtained simulation results showed that the articulated truck suspension should be designed considering a realistic excitation condition. In contrast to the bounce mode, under the combined road input, the tractor ride quality and road handling performances are improved when a heavily damped suspension is considered. Furthermore, the otherwise dissipated energy through the damping events can reach an overall value between 2 and 4 kW.
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Wang, Qun, Ruixin Zhang, Yangting Wang und Shuaikang Lv. „Machine Learning-Based Driving Style Identification of Truck Drivers in Open-Pit Mines“. Electronics 9, Nr. 1 (24.12.2019): 19. http://dx.doi.org/10.3390/electronics9010019.
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The significance in constructing a driving style identification model for open-pit mine truck drivers is to reduce diesel consumption and improve training. First, we developed a driving behavior and mining truck condition monitoring system for an open-pit mine. Under heavy-load and no-load conditions of a mining truck, based on the same experimental truck and haulage road, the data of driving behavior and truck status of different drivers were collected. The driving style characteristic parameters of mining trucks under heavy-load and no-load conditions were constructed through Pearson correlation analysis. Using a k-means clustering algorithm, driving style can be divided into three types: normal type, soft type, and aggressive type, and we verified the validity of this driving style classification with a box plot. On this basis, the parameters of random forest, k-nearest neighbor, support vector machine, and neural network models were optimized and the accuracy was compared through a cross-validation grid search, and then a driving style identification model based on the random forest method was finally proposed. Driving style parameter weight values were obtained based on the Gini coefficient. Last, the fuel consumption characteristics of different driving styles were calculated. The results show that the driving style identification models based on random forest can effectively identify different driving styles when the mining truck is operating under heavy load and no load, and the overall accuracy of the model is 95.39% and 90.74% respectively. The fuel consumption of the aggressive driving style was the largest and was 10% higher than the average fuel consumption. The research results provide data support and new ideas for operation training and fuel-saving driving of mining trucks in open-pit mines.
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Grinin, Valeriy, Evgeniy Shkarupelov, Aleksandr Muravev, Aleksandr Kartashov, Sergey Nazarenko und Aleksandr Klimov. „Method for applying vehicle driving cycles to assess the durability of electromechanical transmissions of trucks“. E3S Web of Conferences 402 (2023): 10008. http://dx.doi.org/10.1051/e3sconf/202340210008.
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The article discusses the relevance of the problem of calculating the elements of electromechanical transmissions of trucks for strength and durability. The main methods used for the formation of load conditions on electromechanical transmissions of trucks are given. The driving cycles of trucks used to obtain loads when calculating the durability of the elements of electromechanical transmissions are given. The universal driving cycles of vehicles obtained on the basis of the collection of statistical data on the movement of trucks are considered. A simulation model of the movement of a truck used to determine the loads on the electromechanical transmission while overcoming driving cycles of trucks is presented. The durability of the gears of the electromechanical transmission of a truck is analyzed on the basis of load cyclograms obtained during simulation modeling of movement. Numerical results of the safety factors of one of the gear stages are obtained. Conclusions are drawn about the optimality of the use of existing driving cycles of trucks in strength calculations. Conclusions are worded about the need to synthesize driving cycles of trucks based on the collection of statistical data on the movement of truck vehicles on the territory of the region under consideration.
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Kudo, Takahiko, und Michael H. Belzer. „Safe rates and unpaid labour: Non-driving pay and truck driver work hours“. Economic and Labour Relations Review 30, Nr. 4 (15.10.2019): 532–48. http://dx.doi.org/10.1177/1035304619880406.
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In the trucking industry, truck drivers’ duties include not only driving trucks but also non-driving labor. However, non-driving work is not necessarily paid. This article analyses how the payment for non-driving duties (non-driving pay) affects truck drivers’ work hours. Using the National Institute for Occupational Safety and Health Long-Haul Truck Driver survey, the study finds that remunerating drivers for non-driving duties decreases drivers’ work hours. Drivers who are paid for their non-driving labor may reach their target earnings in fewer work hours, leading them to refrain from working extremely long hours and more willingly comply with working time regulations. The policy implication is that paying for non-driving labor can prevent drivers from working excessively long hours, mitigating fatigue, and consequent accidents. Thus, pay for non-driving labor may enhance their safety and health.JEL Codes: J33, J28, J31
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Xin, Tian, Jinliang Xu, Chao Gao und Zhenhua Sun. „Research on the speed thresholds of trucks in a sharp turn based on dynamic rollover risk levels“. PLOS ONE 16, Nr. 8 (20.08.2021): e0256301. http://dx.doi.org/10.1371/journal.pone.0256301.
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Truck rollover is a problem that seriously endangers the safety of human life. Under special conditions, when the driver takes a sharp turn, the truck is most prone to rollover. Speed seriously affects the driving stability of the truck in a sharp turn, but the calculation of the safe speed is not accurate enough at present. The aim of this paper is to develop a more accurate safe speed calculation method to avoid the truck rollover in a sharp turn. Firstly, the calculation formula of the rollover threshold was derived based on a theoretical model, then, the simulation tests were carried out. We selected a 4-axle truck with a total weight of 30t as the subject, simulated the dynamic process of the truck rollover in a sharp turn with TruckSim, evaluated the dynamic rollover risk levels of the truck during this process, and verified the accuracy of the simulation results by results of the theoretical model. Finally, by analyzing the steering principle of the vehicle, the safe speed threshold and the limit speed threshold of the truck in a sharp turn were calculated according to the lateral acceleration corresponding to the rollover risk levels. The results show that no matter what the loading condition of the truck is, when the rollover margin is reduced to about 0.15g, the truck just reaches the risk level of critical rollover; the result provides an accurate algorithm for speed thresholds of the truck when turning radius is less than 250 m. The research provides a calculation method for safe speed of trucks from a dynamic perspective. The research results can be applied to the speed warning system of trucks, which can make drivers better control the rollover risk of trucks in the process of driving and improve driving safety.
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Akay, Abdullah E. „Determination of the Safest Route for Logging Trucks Based on Road Types and Conditions“. Environmental Sciences Proceedings 3, Nr. 1 (13.11.2020): 5. http://dx.doi.org/10.3390/iecf2020-08068.
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Hauling of wood-based forest products is a complex problem that requires evaluation of many alternative routes. Forest transportation has been generally done by using logging trucks with high carrying capacity. Logging truck driving is one of the dangerous occupations in forestry, particularly in Turkey, where forest lands are mostly located in mountainous regions with steep slopes. The safety risk of truck driving mainly depends on the road standards and conditions. The majority of the forest roads in Turkey have low standards that limit the maneuverability of logging trucks. In such conditions, forest transportation should be planned by considering not only transportation costs but also the safety of logging truck driving. In this study, the GIS-based network analysis method was used to develop the optimum transportation plans for two scenarios. In the first scenario, an optimum plan that minimized the total transportation cost was developed, while a transportation plan that ensured the safest logging truck driving was optimized in the second scenario. A safety score was assigned to each road section based on the road type (asphalt, gravel, forest road) and road conditions (good, medium, poor). In the study area, located in the city of Bursa in Turkey, there were three forest depots and five landings. The results indicated that the transportation cost increased by 15.76% when the safety of logging truck driving was prioritized. In this scenario, forest products from three landings were transported to different depots, compared to the first scenario.
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Simon, David, und Mehdi Ahmadian. „Vehicle Evaluation of the Performance of Magneto Rheological Dampers for Heavy Truck Suspensions“. Journal of Vibration and Acoustics 123, Nr. 3 (01.02.2001): 365–75. http://dx.doi.org/10.1115/1.1376721.
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This study is intended to complement many existing analytical studies in the area of semiactive suspensions by providing a field evaluation of semiactive magneto rheological (MR) primary suspensions for heavy trucks. A set of four controllable MR dampers are fabricated and used experimentally to test the effectiveness of a semiactive skyhook suspension on a heavy truck. In order to evaluate the performance of the semiactive suspensions, the performance of the truck equipped with the MR dampers is primarily compared with the performance of the truck equipped with the stock passive dampers. The performance of the semiactive system and the original passive system are compared for two different driving conditions. First, the truck is driven over a speed bump at approximately 8–11 kmh (5–7 mph) in order to establish a comparison between the performance of the MR and stock dampers to transient inputs at the wheels. Second, the truck is driven along a stretch of relatively straight and level highway at a constant speed of 100 kmh (62 mph) in order to compare the performance of the two types of dampers in steady state driving conditions. Acceleration data for both driving conditions are analyzed in both time and frequency domains. The data for the speed bumps indicate that the magneto rheological dampers used (with the skyhook control policy) in this study have a small effect on the vehicle body and wheel dynamics, as compared to the passive stock dampers. The highway driving data shows that magneto rheological dampers and the skyhook control policy are effective in reducing the root mean square (RMS) of the measured acceleration at most measurement points, as compared to the stock dampers.
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Gittleman, Maury, und Kristen Monaco. „Truck-Driving Jobs: Are They Headed for Rapid Elimination?“ ILR Review 73, Nr. 1 (17.06.2019): 3–24. http://dx.doi.org/10.1177/0019793919858079.
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The authors analyze the potential effects of automation on the jobs of truck drivers and conclude that media accounts predicting the imminent loss of millions of truck-driving jobs are overstated. Their conclusion is based on three main factors. First, the count of truck drivers is often inflated due to a misunderstanding of the occupational classification system used in federal statistics. Second, truck drivers do more than drive, and these non-driving tasks will continue to be in demand. Third, the requirements of technology, combined with complex regulations over how trucks can operate in the United States, imply that certain segments of trucking will be easier to automate than others. Long-haul trucking (which constitutes a minority of jobs) will be much easier to automate than will short-haul trucking (or the last mile), in which the bulk of employment lies. Although technology will likely transform the status quo in the trucking industry, it does not necessarily imply the wholesale elimination of the demand for truck drivers, as conventional accounts suggest.
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Shephard, Roy J. „Cardiovascular Risk and Truck Driving“. Journal of Cardiopulmonary Rehabilitation 6, Nr. 7 (Juli 1986): 260–62. http://dx.doi.org/10.1097/00008483-198607210-00003.
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&NA;. „Grave Digging and Truck Driving“. Back Letter 5, Nr. 11 (1991): 4. http://dx.doi.org/10.1097/00130561-199105110-00005.
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Srisomboon, Issaree, und Sanghwan Lee. „Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon“. Applied Sciences 11, Nr. 22 (09.11.2021): 10516. http://dx.doi.org/10.3390/app112210516.
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Cooperative automated driving technology has emerged as a potential way to increase the efficiency of transportation systems and enhance traffic safety by allowing vehicles to exchange relevant information via wireless communication. Truck platooning utilizes this technology and achieves synchronized braking and acceleration, controlling two or more trucks simultaneously. This synchronized control makes driving with a very short inter-vehicle distance among trucks possible and reduces aerodynamic drag. This provides significant fuel consumption reduction, both in leading and trailing trucks, and achieves fuel-saving improvement. However, the static positioning sacrifices trucks in the front since they consume more fuel energy because of more air resistance than the rears. To solve this in-equivalent fuel consumption reduction benefit, this paper presents several heuristic algorithms to balance fuel consumption reduction and prolong the driving ranges by exploiting position changes among trucks in a platoon. Furthermore, the proposed algorithms try to reduce the number of position changes as much as possible to prevent any fuel waste caused by the unnecessary position change operations. In this manner, each truck in the platoon is likely to share a similar fuel consumption reduction with fewer position change counts, thus addressing the challenge of in-equivalent fuel savings distribution and obtaining optimal fuel efficiency. Our extensive simulation results show that the proposed algorithms can prolong the total distance by approximately 3% increased in two-truck platooning and even higher in six-trucks platooning of approximately 8%. Moreover, our proposed algorithms can decrease the position change count and ensure that trucks only switch to position arrangement once with no duplicate. Therefore, truck platooning obtains the maximum driving range with fewer position change counts, thus achieving efficient fuel saving.
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Sinthuja, S., und S. V. Saravanan. „Vehicle-2-Vehicle Communication Based on Wireless Sensor Network“. Bulletin of Electrical Engineering and Informatics 6, Nr. 4 (01.12.2017): 364–66. http://dx.doi.org/10.11591/eei.v6i4.868.
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Truck Platooning is a car innovation that permits gathering various trucks into a single element where one truck intently takes after the other that outcomes in an expanded street limit. This kind of detachment allows to a significant degree tight separations and synchronous driving between the vehicles. Our point is to plan and exhibit a self-ruling truck platooning framework given vehicle-to-vehicle (V2V) correspondence innovation. The structure utilises IEEE 802.15.4 remote convention joined with separation going sensors to enable vehicles inside the company to safely trade data progressively and naturally break and quicken in light of the lead truck. The rapid of remote correspondence permits to a significant degree tight separations and synchronous driving between the platooning vehicles.
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Li, Zhenming, Siu Shing Man, Alan Hoi Shou Chan und Jianfang Zhu. „Integration of Theory of Planned Behavior, Sensation Seeking, and Risk Perception to Explain the Risky Driving Behavior of Truck Drivers“. Sustainability 13, Nr. 9 (07.05.2021): 5214. http://dx.doi.org/10.3390/su13095214.
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Truck-related accidents account for a substantial portion of traffic accidents. Risky driving behavior is a main cause of traffic accidents. Understanding the risky driving behavior of truck drivers is therefore important in reducing truck-related accidents. This study aimed to propose and validate a research model that integrated a theory of planned behavior, sensation seeking, and risk perception to explain the risky driving behavior of truck drivers. A total of 471 valid data were collected from Chinese truck drivers in this study. Structural equation modeling and mediation analysis were used to examine the influence of factors in the research model on the risky driving behavior of truck drivers. Results showed that sensation seeking and risk perception of truck drivers were influential in shaping their intention to drive riskily with the mediation of attitude toward risky driving. Risk perception and attitude toward risky driving also had a negative influence and positive influence on the intention, respectively. On the basis of the findings, practical recommendations for reducing the risky driving behavior of truck drivers were provided for concerned parties.
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Engholm, Albin, Anna Pernestål und Ida Kristoffersson. „Cost Analysis of Driverless Truck Operations“. Transportation Research Record: Journal of the Transportation Research Board 2674, Nr. 9 (28.07.2020): 511–24. http://dx.doi.org/10.1177/0361198120930228.
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Road freight transport is believed by many to be the first transport domain in which driverless (DL) vehicles will have a significant impact. However, in current literature almost no attention has been given to how the diffusion of DL trucks might occur and how it might affect the transport system. To make predictions on the market uptake and to model impacts of DL truck deployment, valid cost estimates of DL truck operations are crucial. In this paper, an analysis of costs and cost structures for DL truck operations, including indicative numerical cost estimates, is presented. The total cost of ownership for DL trucks compared with that for manually driven (MD) trucks has been analyzed for four different truck types (16-, 24-, 40-, and 64-ton trucks), for three scenarios reflecting pessimistic, intermediate, and optimistic assumptions on economic impacts of driving automation based on current literature. The results indicate that DL trucks may enable substantial cost savings compared with the MD truck baseline. In the base (intermediate) scenario, costs per 1,000 ton-kilometer decrease by 45%, 37%, 33%, and 29% for 16-, 24-, 40-, and 60-ton trucks, respectively. The findings confirm the established view in the literature that freight transport is a highly attractive area for DL vehicles because of the potential economic benefits.
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Vinogradov, A. B., A. A. Korotkov und K. K. Ermakov. „Dump truck control algorithms when wheels slip“. Vestnik IGEU, Nr. 5 (31.10.2023): 68–73. http://dx.doi.org/10.17588/2072-2672.2023.5.068-073.
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Mine dump trucks with a carrying capacity of 90 tons or more are equipped with an electromechanical transmission that controls the traction motors of the driving wheels. Due to unfavorable operation conditions of dump trucks, there are strict requirements to the driving safety along unpaved roads of open pits. The results of BELAZ dump trucks tests and authors maintenance experience have shown that the active security system is especially needed and gives essential assistance to a driver. Loss of control of а loaded truck, for example, during sharp braking on a slippery icy road, can lead to а serious accident and additional costs for repairing mining equipment. Thus, the development of traffic safety systems of mine dump trucks with electromechanical transmission is an important task. The methods of automatic control, mathematical modeling and numerical solution of differential equations are used to develop control algorithms for a mine dump truck. To test the proposed solutions, the method of full-scale experiment is used in real-life driving conditions along the dirt and icy roads. Control algorithms that use data of additional front (driven) wheels sensor are proposed. The results of tests of a BELAZ dump truck with a carrying capacity of 90 tons are presented. The results confirm the effectiveness of the developed control system in comparison with the one currently used in stock-produced items. The developed ABS system with speed sensors of the front wheels of a dump truck has proved the braking effectiveness along a slippery road. It makes it possible to improve the controllability of the dump truck significantly under conditions of lack of road adhesion, preventing the dump truck from skidding and wheels blocking. And it makes it possible to reduce mechanical effects on the transmission and anti-slip system sensitivity to different traffic conditions. The adaptive system remains operational if one of the front wheel sensors fails and if compared to the standard system it works equally effectively in various traffic conditions. The implementation of the obtained results will improve traffic safety and reduce the accident rate of expensive mining equipment.
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Mareev, Ivan, und Dirk Sauer. „Energy Consumption and Life Cycle Costs of Overhead Catenary Heavy-Duty Trucks for Long-Haul Transportation“. Energies 11, Nr. 12 (09.12.2018): 3446. http://dx.doi.org/10.3390/en11123446.
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The overhead catenary truck is an interesting technology for long-haul transportation with heavy-duty trucks because it can combine the advantage of energy supply via catenary while driving and the flexibility of a battery truck on routes without catenary using the traction battery. This study investigates the energy consumptions of overhead catenary trucks on German highways and considers different configurations for the traction battery and catenary power system. Afterwards the life cycle costs of overhead catenary trucks are calculated for a specified long-haul transportation scenario and the results are compared to battery electric truck and diesel truck using the findings of a previous study by the authors. The energy consumption of the considered overhead catenary trucks is approximately equal to that of a battery electric truck but only about a half of the equivalent energy consumption of a conventional diesel truck. According to the cost assumptions in this study, the total life cycle costs of overhead catenary trucks can be in the range of the conventional diesel truck, showing the competitiveness of this alternative truck technology.
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Freire, Melissa R., Cassandra Gauld, Angus McKerral und Kristen Pammer. „Identifying Interactive Factors That May Increase Crash Risk between Young Drivers and Trucks: A Narrative Review“. International Journal of Environmental Research and Public Health 18, Nr. 12 (16.06.2021): 6506. http://dx.doi.org/10.3390/ijerph18126506.
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Sharing the road with trucks is associated with increased risk of serious injury and death for passenger vehicle drivers. However, the onus for minimising risk lies not just with truck drivers; other drivers must understand the unique performance limitations of trucks associated with stopping distances, blind spots, and turning manoeuverability, so they can suitably act and react around trucks. Given the paucity of research aimed at understanding the specific crash risk vulnerability of young drivers around trucks, the authors employ a narrative review methodology that brings together evidence from both truck and young driver road safety research domains, as well as data regarding known crash risks for each driving cohort, to gain a comprehensive understanding of what young drivers are likely to know about heavy vehicle performance limitations, where there may be gaps in their understanding, and how this could potentially increase crash risk. We then review literature regarding the human factors affecting young drivers to understand how perceptual immaturity and engagement in risky driving behaviours are likely to compound risk regarding both the frequency and severity of collision between trucks and young drivers. Finally, we review current targeted educational initiatives and suggest that simply raising awareness of truck limitations is insufficient. We propose that further research is needed to ensure initiatives aimed at increasing young driver awareness of trucks and truck safety are evidence-based, undergo rigorous evaluation, and are delivered in a way that aims to (i) increase young driver risk perception skills, and (ii) reduce risky driving behaviour around trucks.
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Haq, Muhammad Tahmidul, Milan Zlatkovic und Khaled Ksaibati. „Freeway Truck Traffic Safety in Wyoming: Crash Characteristics and Prediction Models“. Transportation Research Record: Journal of the Transportation Research Board 2673, Nr. 10 (18.05.2019): 333–42. http://dx.doi.org/10.1177/0361198119847980.
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The State of Wyoming experiences a high percentage of truck traffic along all its highways, especially Interstate 80 (I-80). The increased interactions between trucks and other vehicles have raised many operational and safety concerns. This paper presents a safety analysis and a development of safety performance functions (SPFs) along I-80, with a focus on truck crashes. Nine years of historical crash data in Wyoming (2008–2016) were used to observe the involvement of light, medium, and heavy trucks in crashes. Analysis of the major contributory factors showed that 54% of the total truck-related crashes occurred during icy road conditions and about 46% during snowy weather conditions, and approximately 45% involved driving too fast and driving in improper lane. The analysis also included segments with horizontal curves and vertical grades and their impacts on truck crashes. The crash rate analysis showed higher truck crash rate compared with total crash rate considering equal vehicle miles traveled as exposure. A zero-inflated negative binomial model was applied to develop Wyoming-specific SPFs for various truck crash types. The effects of traffic, road geometry characteristics, and weather parameters influencing different truck-related crashes were quantified from these models. Downgrades and steep upgrade sections were found to increase truck-related crashes. The number of rainy days per year was found to be a significant variable affecting truck-related crashes. On the other hand, the presence of climbing lanes has significant safety benefits.
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Offord, Adam. „Driving Forward“. Manufacturing Management 2018, Nr. 6 (Juni 2018): 34–36. http://dx.doi.org/10.12968/s2514-9768(23)90174-2.
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Lu, Xiao-Yun, Steven Shladover und Stefan Bergquist. „Truck CACC Implementation and Test to Verify Control Performance“. Transportation Research Record: Journal of the Transportation Research Board 2673, Nr. 8 (25.04.2019): 353–64. http://dx.doi.org/10.1177/0361198119842122.
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This paper presents quantitative driving performance results for a cooperative adaptive cruise control (CACC) system tested on Class-8 trucks. It focuses on the vehicle following control performance measured on a closed test track and in mixed traffic on public freeways. The speed and distance tracking errors are reported for the string of three trucks driven under CACC control.
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Wei, Chien-Hung, Ying Lee, Yu-Wen Luo und Jyun-Jie Lu. „Incorporating Personality Traits to Assess the Risk Level of Aberrant Driving Behaviors for Truck Drivers“. International Journal of Environmental Research and Public Health 18, Nr. 9 (26.04.2021): 4601. http://dx.doi.org/10.3390/ijerph18094601.
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Economic globalization and the internet economy have resulted in a dramatic increase in freight transportation. Traffic crashes involving trucks usually result in severe losses and casualties. The fatality and injury rates for heavy truck accidents have been 10 times higher than for sedans in Taiwan in recent years. Thus, understanding driving behavior and risk are important for freight carriers. Since personality traits may result in different driving behaviors, the main objective of this study is to apply artificial neural network (ANN) models to predict the frequency of aberrant driving behavior and the risk level of each driver according to drivers’ personality traits. In this case study, relevant information on truck drivers’ personality traits and their tendency to engage in aberrant driving behavior are collected by using respectively a questionnaire and a fleet surveillance system from a truck company. A relative risk level evaluation mechanism is developed considering the frequency and distribution of aberrant driving behavior. The Jenks natural breaks optimization method and the elbow method are adopted to optimally classify 40 truck drivers into 4 aberrant driving behavior levels and 5 driving risk levels. It was found that 5% of drivers were at the highest aberrant driving behavior level, and 7.5% of drivers were at the highest driving risk level. Based on the results, the proposed models show good and stable predictive performance, especially for the class of drivers with excessive rotation speed, hard acceleration, excessive rotation speed, hard deceleration, and driving risk. With the proposed models, the predictive class for aberrant driving behavior and driving risk can be determined by plugging in a driver’s personality traits before or after employment. Based on the prediction results, the manager of a transportation company could plan the training program for each driver to reduce the aberrant driving behavior occurrence.
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Li, Li Shun, Xiang De Meng und Juan Qing Zhan. „Design and Traction Performance of the Track Device Circling Driving Wheel for Truck“. Applied Mechanics and Materials 110-116 (Oktober 2011): 239–43. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.239.
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To improve passing topography capacity of 2WD truck on soft soil, A track device circling driving wheel (TDCDW) is developed and tested. Tests are conducted on sandy loam to determine the traction performance of the TDCDW. The drawbar pull and the slip of the 2WD truck with TDCDW are measured by the dynamometer vehicle. The soil resistance of 2WD truck with TDCDW is got by pulling the wire rope fixed on truck with the winch and reading the load cell fixed on the wire rope. The main results of this study are: The load on the front wheel has no influences on the tractive effort of TDCDW on sandy loam. The slip of the vehicles with the TDCDW is not the simple assembled slip of wheel on TDCDW and TDCDW on sandy loam. When the load is the same, the maximum tractive effort of truck with TDCDW is equal to the maximum tractive effort of tracked vehicle with the same contact area on sandy loam.
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Grinin, Valeriy, Evgeniy Shkarupelov, Aleksander Kartashov, Ruslan Gazizullin und Sergey Nazarenko. „Determination of the number of speeds of a mechatronic transmission of a road car based on a typical specified driving mode“. E3S Web of Conferences 460 (2023): 06021. http://dx.doi.org/10.1051/e3sconf/202346006021.
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The article discusses the problem of determining the rational number of gears for a mechatronic transmission of a truck vehicle. A review of the designs of existing mechatronic transmissions from leading manufacturers of motor vehicles was carried out, with an emphasis on analyzing the number of gears used in them. A method has been developed for determining the rational number of gears based on simulation modeling of the movement of a truck along driving cycles, synthesized on the basis of statistical data on the movement of trucks across the territory of the Russian Federation. A synthesized driving cycle and a simulation model of truck movement, designed to determine the loads on the electromechanical transmission when moving along this cycle, are considered. Based on the results of simulation modeling of the movement of a truck with a different number of gears in a mechatronic transmission, conclusions about the influence of multi-speed transmissions on the energy efficiency of electric truck vehicle were drawn. Conclusions have been formulated about the required number of gears for mechatronic transmissions of trucks moving on the roads of the Russian Federation.
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Sari, Sulasmi, Endang Maryanti und Haslinah Haslinah. „Safety Driving Factors on Palm Oil Transporting Trucks“. Jurnal Perilaku Kesehatan Terpadu 1, Nr. 1 (20.07.2022): 15–21. http://dx.doi.org/10.61963/jpkt.v1i1.8.
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As many as 67% of accident victims in 2011 were between the ages of 22 and 50, according to WHO data. There were around 400 thousand victims under the age of 25, with a death toll of 1000 children and teenagers every day on average throughout this time period. PT. Tapian Nadenggan Langga Payung was the focus of this study, which sought to identify the elements that contributed to the safety of oil palm transport trucks. Analytical research with a cross-sectional approach was the research design employed. There are 35 people in total, all of whom work as oil palm fruit truck drivers. In this case, total sampling was employed as the method of sampling. For the knowledge collected from the chi-square test findings, the p value (0.270) was found to be greater than the 0.05 threshold for p value (0.000) based on age and safe driving. Physical Fatigue, on the other hand, has a p value (0.000) 0.05 in the chi-square test. No one's age has any bearing on how safe they are on the road when driving. Driving oil palm transport trucks for PT. Tapian Nadenggan Langga Payung was made more dangerous by lack of experience and exhaustion. Companies should ask their employees, especially truck drivers, to participate in safety driving instruction before they get behind the wheel of a truck.
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Chen, Yutao, Nazar Rozkvas und Mircea Lazar. „Driving Mode Optimization for Hybrid Trucks Using Road and Traffic Preview Data“. Energies 13, Nr. 20 (14.10.2020): 5341. http://dx.doi.org/10.3390/en13205341.
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This paper proposes a predictive driver coaching (PDC) system for fuel economy driving for hybrid electric trucks using upcoming static map and dynamic traffic data. Unlike traditional methods that optimize over engine torque and brake to obtain a speed profile, we propose to optimize over driving modes of trucks to achieve a trade-off between fuel consumption and trip time. The optimal driving mode is provided to the driver as a coaching recommendation. To obtain the optimal solution, the truck dynamics are firstly modeled as a hybrid controlled switching dynamical system with autonomous subsystems and then a hybrid optimal control problem (HOCP) is formulated. The problem is solved using an algorithm based on discrete hybrid minimum principle. A warm-start strategy to reduce algorithmic iterations is used by employing a shrinking horizon strategy. In addition, an extensive analysis of the proposed algorithm is provided. We prove that the the coasting mode is never optimal given the truck configuration and and we provide a guideline for tuning parameters to maintain the optimal mode sequence. Finally, the algorithm is validated using real-world data from baseline driving tests using a DAF hybrid truck. Significant reduction in fuel consumption is achieved when the data is perfectly available.
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Wang, Chang Yuan, Kong Jian Qin, Jun Hua Gao, Jia Yan und Xue Hao Liu. „Research on the Construction and Testing of Typical Driving Cycles for Refuse Truck“. Advanced Materials Research 718-720 (Juli 2013): 2457–62. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2457.
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In this paper, the driving trajectories of refuse transfer truck and collector truck are tested by GPS data logger. Afterwards, the 15 characteristic values of refuse truck and 12 characteristic values of typical driving cycles are analyzed by velocity fragment characteristic value analysis. Finally, we find that if the highway cycle of C-WTVC is canceled and the ratio of velocity interval 20-60km/h is extended, this driving cycle can be used as the testing cycle of refuse transfer truck. The CCBC cycle can be used as the testing cycle of refuse collector truck.
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Kozioł, Stanisław. „Truck Driving Parameters - A Comparative Study“. Solid State Phenomena 237 (August 2015): 142–47. http://dx.doi.org/10.4028/www.scientific.net/ssp.237.142.
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Rescue and fire-fighting vehicles and other vehicles used by the fire department, such as tankers and aerial ladder trucks have typically a high centre of gravity. Driving such vehicles involves the danger of transverse stability loss and rolling over. This problem is augmented by inadequate driver experience due to the low mileage of emergency vehicles. The safety of a moving vehicle largely depends on its driving characteristics, which can be studied and compared, and these in turn can be the basis for the evaluation of the vehicle safety with a specific body design.The aim of the study was to develop a set of measuring devices for identifying driving properties for trucks. A dynamics study was conducted using constructed prototype solutions for selected trucks with a high centre of gravity, including emergency vehicles for fire departments. The study was performed during selected standard road tests for determining driveability properties. Three road tests were used to assess the road stability and manoeuvrability of the vehicles: driving in a circle in predetermined conditions, steering wheel jump while driving straight ahead, and braking while driving in a circle. The results of this study allow determining the characteristic values of parameters describing vehicle behaviour in each test and a comparative assessment of their safety in traffic. Moreover, the study constituted a verification of the developed system that can be used for dynamics tests and the evaluation of vehicle safety.
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Terenchenko, A. S., und A. S. Stryapunin. „Estimation of CO emissions from 2 KAMAZ-54901 truck with the use of Regulation (EU) 2017/2400 methodology“. Trudy NAMI, Nr. 4 (28.12.2023): 61–68. http://dx.doi.org/10.51187/0135-3152-2023-4-61-68.
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Introduction (problem statement and relevance). For several years already, the world’s leading countries are managing programs aimed at decreasing СО2 emissions from trucks. These programs imply actual (field) testing of components and simulating of vehicle driving according to the test cycles in the special software (SW). In Europe, Regulation (EU) 2017/2400 requires that manufacturers produce and open source such calculations when registering new trucks (heavy-duty vehicles) in the EU territory. The purpose of the study is to compare the CO2 emission level from trucks made by the European manufacturers and from a modern truck produced by KAMAZ PTC.Methodology and research methods. The truck driving was simulated with the use of Regulation (EU) 2017/2400 methodology in the VECTO software. Scientific novelty and results. The СО2 emissions from the modern truck produced by KAMAZ PTC were calculated with the use of Regulation (EU) 2017/2400 methodology in the VECTO software. Practical significance. The obtained calculation results can be used for optimization of the KAMAZ vehicle parameters in order to decrease fuel consumption and СО2 emissions
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Hutchinson, Harry. „Going the Distance“. Mechanical Engineering 127, Nr. 07 (01.07.2005): 37. http://dx.doi.org/10.1115/1.2005-jul-4.
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This article discusses a Turkish auto manufacturer that had been marketing its heavy commercial vehicle for years, but new emissions requirements were looming. The rules came from the European Parliament in Brussels. Turkey, which is not part of the European Union, has been pursuing membership for decades and many nearby countries belong, so the rules could not be ignored. The company decided to redesign its truck. The testing company, LMS International, crunched numbers and devised a schedule of track driving that would accelerate fatigue-inducing events a hundredfold. LMS engineers began by getting a snapshot of what the roads do to trucks in Turkey. LMS will not disclose details of the final test schedule, but according to the project manager on this job, Michael Kienert, the truck traveled a total of 10,000 km over the track in eight weeks. The team of engineers inspected it at regular intervals during the test.
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Llaneras, Robert E., Robert W. Swezey und John F. Brock. „Older Commercial Vehicle Drivers: Abilities, Age, and Driving Performance“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, Nr. 18 (Oktober 1996): 933–37. http://dx.doi.org/10.1177/154193129604001815.
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This research reports upon a series of related studies which involved investigations of fifteen human abilities, their changes which occur with aging, and their effects upon commercial truck driving performance. One-hundred and seven commercially licensed truck drivers, divided into five age cohort groups, participated in the research study. An ability testbed was used to measure 15 driving related perceptual, cognitive, and psychomotor abilities. Driving performance was assessed using an interactive commercial truck driving simulator. Relationships between perceptual, cognitive, and psychomotor abilities and measures of driving performance indicated that functional levels on these tasks and driving performance were significantly related; however, age, in and of itself, was not predictive of driving performance.
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Kircher, Katja, Christer Ahlström, Jonas Ihlström, Tatu Ljokkoi und John Culshaw. „Effects of training on truck drivers’ interaction with cyclists in a right turn“. Cognition, Technology & Work 22, Nr. 4 (17.03.2020): 745–57. http://dx.doi.org/10.1007/s10111-020-00628-x.
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Abstract With encounters between trucks and cyclists still being a major safety issue and physical as well as technological improvements far from ubiquitous implementation, training truck drivers in anticipatory driving to improve their interaction with cyclists may be a way forward. After a baseline drive in an urban environment, truck drivers inexperienced with urban driving received a dedicated training on anticipatory driving, followed by another drive along the same route several weeks later. The drivers were also interviewed about their opinion about the training. The drivers’ behaviour changed from before to after training, resulting in a better speed management in general, and a more intensive monitoring of the cyclists. There were also some improvements with respect to the placement in relation to the cyclist, but this effect was limited mainly because truck drivers performed well already before the training. The observed results correspond well to the opinions and feelings about the training that were reported by the drivers in the interview. Thus, driver training can possibly be one contributor to an increase in safety in urban areas.
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Chen, Chen, und Yuanchang Xie. „Machine Learning for Recognizing Driving Patterns of Drivers of Large Commercial Trucks“. Transportation Research Record: Journal of the Transportation Research Board 2517, Nr. 1 (Januar 2015): 18–27. http://dx.doi.org/10.3141/2517-03.
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Commercial large truck crashes are more likely to involve fatalities and significant costs than passenger vehicle crashes are. To reduce fatigue-related crashes of large trucks caused by drivers' irregular work schedules, FMCSA has enforced hours-of-service rules to regulate the activities of drivers of commercial large trucks. The complex influence of drivers' multiday driving activity patterns on crash risk was examined with data collected from two national truckload carriers. A machine learning approach, k-means clustering, was used to classify large truck drivers into 10 clusters according to their 15-min driving activities over multiple days. Then, the crash risk and driving activity pattern were identified for each cluster. Discrete-time logistic regression models were used to quantify the relationships between driving activity patterns and crash risk. Results indicated that the driving pattern with the lowest crash risk could be daytime driving between 4:00 a.m. and noon, with rest breaks in the late afternoon (4:00 to 6:00 p.m.). Drivers with high proportions of afternoon on-duty time after a long off-duty period experienced significantly higher crash risk. A representative day concept is proposed as a complementary method to identify relationships between driving patterns and crash risk. Moreover, on-duty hours can be a useful indicator of crash risk for drivers of large trucks. High proportions of on-duty hours in the early morning and late afternoon often are associated with high crash risk.
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Hu, Xing Jun, Peng Qin, Peng Guo und Jing Yu Wang. „Influence of Front Shape on Crosswind Aerodynamic Loads of Heavy-Duty Truck: A Numerical Case Study“. Advanced Materials Research 569 (September 2012): 428–32. http://dx.doi.org/10.4028/www.scientific.net/amr.569.428.
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Research was done on the crosswind aerodynamic loads of three different front shape heavy-duty trucks by the method of numerical simulation. According to the research, the side force and the rolling moment of truck change slightly, but the drag and yawing moment changes dramatically when running in strong crosswind with different front shapes. The conclusions were drawn from discussion that the long head heavy-duty truck has the least yawing moment among the studied trucks so it has the best driving stability correspondingly.
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Lotz, Alexander, Nele Russwinkel und Enrico Wohlfarth. „Take-over expectation and criticality in Level 3 automated driving: a test track study on take-over behavior in semi-trucks“. Cognition, Technology & Work 22, Nr. 4 (04.03.2020): 733–44. http://dx.doi.org/10.1007/s10111-020-00626-z.
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Abstract With the introduction of advanced driving assistance systems managing longitudinal and lateral control, conditional automated driving is seemingly in near future of series vehicles. While take-over behavior in the passenger car context has been investigated intensively in recent years, publications on semi-trucks with professional drivers are sparse. The effects influencing expert drivers during take-overs in this context lack thorough investigation and are required to design systems that facilitate safe take-overs. While multiple findings seem to cohere in passenger cars and semi-trucks, these findings rely on simulated studies without taking environments as found in the real world into account. A test track study was conducted, simulating highway driving with 27 professional non-affiliated truck drivers. The participants drove an automated Level 3 semi-truck while a non-driving-related task was available. Multiple time critical take-over situations were initiated during the drives to investigate four main objectives regarding driver behavior. (1) With these results, comparison of reaction times and behavior can be drawn to previous simulator studies. The effect of situation criticality (2) and training (3) of take-over situations is investigated. (4) The influence of warning expectation on driver behavior is explored. Results obtained displayed very quick time to hands on steering and time to first reaction all under 2.4 s. Highly critical situations generate very quick reaction times M = 0.81 s, while the manipulation of expectancy yielded no significant variation in reaction times. These reaction times serve as a reference of what can be expected from drivers under optimal take-over conditions, with quick reactions at high speed in critical situations.
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Zhu, Yi, Yongfeng Ma, Shuyan Chen, Aemal J. Khattak und Qianqian Pang. „Identifying Potentially Risky Intersections for Heavy-Duty Truck Drivers Based on Individual Driving Styles“. Applied Sciences 12, Nr. 9 (06.05.2022): 4678. http://dx.doi.org/10.3390/app12094678.
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In developing countries, heavy-duty trucks play an important role in transportation for infrastructure construction. However, frequent truck accidents cause great losses. Previous studies have mainly focused on passenger drivers; to date, little has been done to assess the driving behavior of heavy truck drivers. The overall objective of this study is to classify driving styles at intersections, analyze the impacts of differing types of traffic control at intersections on driving styles, and identify potentially risky intersections. We selected 11 heavy-duty truck drivers and collected kinematic driving parameters (including driving speed and both lateral and longitudinal acceleration) from field experiments in Nanjing for our study. Our study on driving styles followed the following steps. First, we reduced data size and extracted data features on the basis of time windows in Python. Second, driving styles were classified into three driving styles: cautious, normal, and aggressive, based on the K-means clustering method, and the corresponding thresholds for each category were obtained. Kinematic driving parameters were used as driving style measurements. Third, according to classifications of driving style, the impacts of four different intersection traffic control types: two-phase signalized, multiphase signalized, stop, and yield intersections, on driving styles have been analyzed using the multinomial logit model. Moreover, based on the above analysis, potentially risky intersections were identified. The results suggest that different types of traffic control at intersections lead to variations in driving styles and have different influences on driving styles. In terms of accuracy, our method, which uses driving speed, both lateral and longitudinal acceleration, and jerk as features, performs better than traditional methods which only use speed and acceleration. The results of the study allow us to analyze the driving data of heavy-duty trucks and identify drivers who drive more aggressively during a trip. In addition, the results show that aggressive driving styles mostly occur at stop intersections and in the dilemma zones of signalized intersections. Therefore, early-warning interventions can be provided during a driver’s trip by analyzing the different types of traffic control at intersections on the route in advance. Finally, the cumulative analysis of driving styles at intersections over multiple trips can be used to identify potentially high-risk intersections. It is possible to eliminate potential risks in these areas through measures such as early warnings and by improving traffic management control methods.
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Wahyudi, Deni, und Wiwik Eko Pertiwi. „Sikap Pengemudi Dump Truck Terhadap Safety Driving“. MEDIA KESEHATAN MASYARAKAT INDONESIA 20, Nr. 2 (23.03.2021): 134–38. http://dx.doi.org/10.14710/mkmi.20.2.134-138.
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Latar belakang: Berdasarkan data Laka Lantas Polda Banten pada tahun 2018 terjadi 1.263 kasus kecelakaan dengan juo mlah korban meninggal 605 orang, luka berat 160, luka ringan 1.398 orang dengan kerugian materi mencapai Rp 3,3 miliar lebih dan pada tahun 2019 laka lantas bertambah dengan jumlah 1.402 kejadian, dengan jumlah korban meninggal dunia sebanyak 649 orang, luka berat 139 orang, luka ringan 1.629 orang dengan jumlah kerugian mencapai Rp 2,8 miliar. Safety driving merupakan upaya untuk mengemudi lebih lanjut yang lebih memperhatikan keselamatan bagi pengemudi dan penumpang. Penelitian ini bertujuan untuk mengetahui hubungan pengetahuan, tingkat pendidikan dan umur dengan sikap pengemudi dump truck terhadap safety driving di PT. Banten Muda Mandiri.Metode: Penelitian ini menggunakan desain cross sectional dimana variabel independen (pengetahuan, tingkat pendidikan dan umur) dan variabel dependen (sikap pengemudi terhadap safety driving) diteliti pada saat yang bersamaan. Data dianalisis menggunakan pendekatan Uji Kai Kuadrat (Chi Square Test), dengan batas CI 95%. Populasi dalam penelitian ini adalah seluruh pengemudi dump truck sebanyak 55 orang dan sampel penelitian adalah total populasi. Hasil: Hasil penelitian menunjukan dari 55 responden terdapat 67,3% responden mempunyai sikap safety driving baik, 61,8% responden berusia ≥ 30 tahun, 60,0% memiliki tingkat pendidikan tinggi, 78,2% responden yang memiliki pengetahuan baik. Hasil analisa bivariat menunjukan ada hubungan antara tingkat pendidikan (0,049) dan pengetahuan (0,043) dengan sikap pengemudi terhadap safety driving. Simpulan: responden yang mempunyai sikap positif lebih banyak dibandingkan dengan responden yang mempunyai sikap negatif serta terdapat hubungan antara tingkat pendidikan dan pengetahuan dengan sikap terhadap safety driving.Kata kunci: Dump truck, pengetahuan, safety driving, tingkat pendidikan, umur ABSTRACTTitle: Safety Driving Attitudes of the Dump Truck DriverBackground: Based on data from Laka Lantas Regional Police of Banten, in 2018 there were 1,263 accidents with 605 fatalities, 160 serious injuries, 1,398 minor injuries with more than Rp.3.3 billion in material losses and in 2019 increased to 1,402 incidents, with the number of victims who died as many as 649 people, 139 people were seriously injured, and slightly injured 1,629 people with a total loss of up to Rp 2.8 billion. Safety driving is an effort to further drive that pays more attention to safety for drivers and passengers. This study aims to determine the relationship between knowledge, education level and age with the attitude of dump truck drivers on driving safety at PT. Banten Muda Mandiri.Method: The independent variables of this study are knowledge, education level and age, while the dependent variable is the attitude of the driver towards safety driving with cross sectional design study. The research sample was 55 driver of dump truck. Primary data collection using a questionnaire.Result: The results showed that out of 55 respondents, 67.3% of respondents had a good driving safety attitude, 61.8% of respondents were ≥ 30 years old, 60.0% had a high level of education, 78.2% of respondents had good knowledge. The results of the bivariate analysis showed that there was a relationship between the level of education (0.049) and knowledge (0.043) with the driver's attitude towards driving safety.Conclusion: Respondents were had positive attitude more than negative attitude, there was a relationship between the level of education (0.049) and knowledge (0.043) with the driver's attitude towards driving safety.Keywords: Dump truck, knowledge, safety driving, education level, age
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Yeh, Wei-Chang, Chia-Ling Huang und Haw-Sheng Wu. „An Improved d-MP Algorithm for Reliability of Logistics Delivery Considering Speed Limit of Different Roads“. Signals 3, Nr. 4 (13.12.2022): 895–910. http://dx.doi.org/10.3390/signals3040053.
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The construction of intelligent logistics by intelligent wireless sensing is a modern trend. Hence, this study uses the multistate flow network (MFN) to explore the actual environment of logistics delivery and to consider the different types of transportation routes available for logistics trucks in today’s practical environment, which have been neglected in previous studies. Two road types, namely highways and slow roads, with different speed limits are explored. The speed of the truck is fast on the highway, so the completion time of the single delivery is, of course, fast. However, it is also because of its high speed that it is subject to many other conditions. For example, if the turning angle of the truck is too large, there will be a risk of the truck overturning, which is a quite serious and important problem that must be included as a constraint. Moreover, highways limit the weight of trucks, so this limit is also included as a constraint. On the other hand, if the truck is driving on a slow road, where its speed is much slower than that of a highway, it is not limited by the turning angle. Nevertheless, regarding the weight capacity of trucks, although the same type of trucks running on slow roads can carry a weight capacity that is higher than the load weight limit of driving on the highway, slow roads also have a load weight limit. In addition to a truck’s aforementioned turning angle and load weight capacity, in today’s logistics delivery, time efficiency is extremely important, so the delivery completion time is also included as a constraint. Therefore, this study uses the improved d-MP method to study the reliability of logistics delivery in trucks driving on two types of roads under constraints to help enhance the construction of intelligent logistics with intelligent wireless sensing. An illustrative example in an actual environment is introduced.
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John, Vickry Abdillah, Masribut Masribut und Ahmad Satria Efendi. „Analisis Pelaksanaan Kepatuhan Terhadap Safety Driving Pada Pengemudi Foco Truck Dan Bucket Truck Di Pt. Pancaran Darat Transport Duri“. Media Kesmas (Public Health Media) 1, Nr. 2 (12.12.2021): 491–98. http://dx.doi.org/10.25311/kesmas.vol1.iss2.51.
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Safety driving adalah perilaku mengemudi yang aman yang bisa untuk membantu menghindari masalah lalu lintas yang merupakan dasar pelatihan mengemudi lebih lanjut yang lebih memperhatikan keselamatan pengemudi. Untuk mencegah terjadinya pelanggaran yang dapat menyebabkan kecelakaan pada pengemudi maka pihak perusahaan menerapkan aturan safety driving.Upaya untuk meningkatkan keselamatan tentunya bukan hanya tanggung jawab pemerintah saja melainkan tanggung jawab kita bersama. Tujuan penelitian ini untuk mengetahui pelaksanaan kepatuhan terhadap safety driving pada pengemudi foco truck dan bucket truck di PT Pancaran Darat Transport Duri tahun 2020. Penelitian ini merupakan penelitian kualitatif analitik. Subjek dalam penelitian ini ada 4 yaitu HES officer dan pengemudi 3 orang. Teknik yang digunakan dalam penelitian ini adalah wawancara mendalam dengan menggunakan bantuan pedoman wawancara. Hasil penelitian ini menunjukan bahwa pelaksanaan kepatuhan terhadap safety driving belum optimal, hal ini disebabkan oleh masih adanya pelanggaran yang dilakukan pengemudi pada saat sedang mengemudi dan kurangnya kesadaran tentang pentingnya keselamatan pada saat sedang bekerja. Diharapkan bagi pihak perusahaan agar lebih meningkatkan lagi upaya dan peraturan safety driving serta selalu memeriksa kondisi pengemudi agar tidak terjadinya pelanggaran pada saat sedang mengemudi. Safety driving is a behavior or attitude of safety drivers that can help them to avoid from traffic cases which is the basis for further driving safety that pays more attention to driver safety. To protect violations that can cause accidents to drivers, the company applies safety driving rules. Efforts to improve safety are of course, not only the responsibility of the government, but also our responsibility. The purpose of this research was to see the implementation based on safety driving of foco and bucket truck drivers at PT Pancaran Darat transportation Duri 2020. The research is a descriptive qualitative study. There were 4 subjects in this study, namely Hes Officer and 3 drivers.The technique used in this research is in-depth interview using new interview assistance. The results of this study indicate the implementation of driving safety has not been optimal, this is due to the presence of a driver while driving and not realizing the importance of safety while working. It is hoped that the company will further improve efforts and regulations on safety driving and always supervise the driver so that it does not happen while driving.
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Taiwo, Olusegun Austine, Sitti Asmah Hassan, Rahmat Mohsin und Norashikin Mahmud. „Truck drivers’ behaviour on road traffic crash involvement: A structural equation modeling approach“. Journal of Autonomous Intelligence 7, Nr. 5 (20.05.2024): 1549. http://dx.doi.org/10.32629/jai.v7i5.1549.
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<p>Truck drivers significantly enhance global economic development due to the varying and bulk freight transport from one end to another. However, their involvement in road traffic crashes usually results in significant losses of lives and properties. There are sparse studies on the influence of driving behaviours of truck drivers on road traffic crashes, especially in developing countries like Nigeria. A total of 880 commercial truck drivers participated and completed the driver behaviour questionnaire. The structural equation modeling approach was used in the analysis to examine the influence of truck drivers’ behaviours on crash involvement in Nigeria. The results showed that driving violations, driving errors, and inattention errors were significantly associated with road traffic crash involvement, while positive driving behaviour was negatively significant. The analysis further revealed a significant relationship between crash involvement and sociodemographic factors, notably age and driving experience, whereas no significant association was observed with educational background. The findings suggest crash involvement among truck drivers can be reduced by addressing violation, error, and inattention, while positive behaviours should be encouraged through training programs and policy formulations.</p>
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Hong, Cheng, Yufang Guo, Yuhong Wang und Tingting Li. „The Integrated Scheduling Optimization for Container Handling by Using Driverless Electric Truck in Automated Container Terminal“. Sustainability 15, Nr. 6 (21.03.2023): 5536. http://dx.doi.org/10.3390/su15065536.
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With the increasing maturity of automatic driving technology, the commercial value of driverless container trucks has been gradually excavated. Compared with social roads, the internal roads in the port area have certain practicing advantages. By taking into account the operational characteristics of the driverless electric container truck and the coordination of quay and yard cranes, this paper aims to explore the configuration and optimized scheduling model of the driverless electric container truck with the objective of minimizing overall energy consumption. The results show that the optimized allocation and scheduling of driverless electric trucks can minimize the total energy consumption of terminal operation without delaying the shipping schedule, and has obvious advantages over traditional manual driving diesel trucks and Automated Guided Vehicles in terms of operation efficiency, economy, and sociality. The results can also provide certain decision-making reference for the selection of horizontal transportation equipment and collaborative scheduling of multi-type loading and unloading equipment resources of container terminal operators.
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Council, Forrest M., David L. Harkey, Daniel T. Nabors, Asad J. Khattak und Yusuf M. Mohamedshah. „Examination of Fault, Unsafe Driving Acts, and Total Harm in Car-Truck Collisions“. Transportation Research Record: Journal of the Transportation Research Board 1830, Nr. 1 (Januar 2003): 63–71. http://dx.doi.org/10.3141/1830-09.
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Crashes involving large trucks and passenger cars are important topics for research and countermeasure development since they represent more than 60% of all fatal truck crashes and because the passenger car occupant is much more likely to be killed. This study ( a) examined “fault” in total car–truck crashes using North Carolina Highway Safety Information System (HSIS) data for comparison with fault analyzed in previous studies of fatal crashes, ( b) used general estimates system (GES) crash data to verify unsafe driving acts (UDAs) identified by expert panels in past studies, and ( c) used North Carolina HSIS data to identify critical combinations of roadway facility type, roadway location, and crash type based on “total harm”—a measure combining both the frequency and severity of the crash. Fault in total North Carolina car–truck crashes was found to differ significantly from past fatal crash studies, with the truck driver being at fault more often than the car driver both overall and in certain crash types. Car drivers continue to be at fault much more often in head-on and angle crashes. While it was not possible to analyze all UDAs identified in prior studies, when possible, the current analyses revealed differences between the GES crash data results and the expert-based results, pointing to the need for better UDA methods if they are to be used to target treatments. Finally, using the total-harm analysis with North Carolina car–truck crashes indicated that undivided rural arterials and collectors should be primary targets for further investigation and for treatment.
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Hirsch, Pierro, Mohamed-Amine Choukou und François Bellavance. „Transfer of Training in Basic Control Skills from Truck Simulator to Real Truck“. Transportation Research Record: Journal of the Transportation Research Board 2637, Nr. 1 (Januar 2017): 67–73. http://dx.doi.org/10.3141/2637-08.
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A series of studies was done at a large truck driver-training center as part of its ongoing cycle of development and implementation of simulator-based training. This project was motivated by the need to accelerate the learning of basic vehicle control skills to allow more time for safety-critical skills. The first studies focused on gearshifting and the second on backing maneuvers. All studies measured the transfer of driving skills learned in the truck simulator to the real truck. The results show that basic vehicle control skills learned on the truck simulator transferred to a real truck and that the learning time required on the truck simulator compared with the real truck was at least equal if not shorter in many cases. A major strength of this project is to complete integration into the normal operations of the training school’s program by using regular teachers and students. The only nonroutine aspects were the extra performance measurements by independent evaluators. Naturalistic studies are prone to confounding factors. Therefore, the consistent evidence of transfer of basic skills from the truck simulator to the real truck across multiple phases with slightly different designs demonstrates the robustness of the findings. Given the success of simulator-based training in aviation, the evidence of successful transfer of training in this study is not surprising. The greater challenge is the future integration of efficient truck-driving simulator-based learning into existing training programs to allow additional time to learn more safety-critical driving skills.
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Zhang, Zhao, Ruixin Zhang und Jiandong Sun. „Research on the Comprehensive Evaluation Method of Driving Behavior of Mining Truck Drivers in an Open-Pit Mine“. Applied Sciences 13, Nr. 20 (23.10.2023): 11597. http://dx.doi.org/10.3390/app132011597.
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Trucking is an important production link in most open-pit mines, and its transportation cost accounts for more than 50% of the total production cost of open-pit mines. The quality of the driver’s driving behavior plays a crucial role in the fine control of the production cost of transportation. Different from the previous evaluation studies of drivers’ driving behavior in open-pit mines, which mainly took safety driving behavior index as a factor variable, this paper puts forward a comprehensive evaluation method of driving behavior of mining truck drivers, which takes both safety driving and transportation cost as factor variables. Taking the mining truck as the research object, firstly, a scientific and reasonable data collection scheme is established, and the data information characterizing the transport state of the mining truck is obtained through data collection and analysis. Secondly, the RKNN algorithm of time series prediction and the wavelet analysis method are used to achieve noise reduction and missing processing of the original data so as to obtain accurate sample data. Then, taking the principal component analysis method as the entry point, through constructing the principal component analysis theory model, the key index system representing safe driving behavior and transportation cost is established to realize the comprehensive evaluation of the driving behavior of mining truck drivers, and the evaluation system of “standard driving”, “prudent driving” and “aggressive driving” of mining truck drivers is formulated. The results show that after noise reduction, the accuracy of mining car operation data can be improved by 7~12%, and the transportation cost can be reduced by about 5% after the driver’s operation behavior is standardized.
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Khaengkarn, Sorada, Kampon Nonkeaw, Thanasak Wonglomklang und Jiraphon Srisertpol. „Real-Time Tracking and Environmental Monitoring System for Ice Trucks using IoT Techniques“. WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 19 (12.12.2022): 297–302. http://dx.doi.org/10.37394/23209.2022.19.31.
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The problems faced by ice transporting entrepreneurs are the behavior of truck drivers in driving off the specified route and unnecessarily opening the freezing container door. Consequently, the dropping temperature inside the container of the ice truck damaged the frozen food transportation. For this reason, rotten frozen food because of transportation ruins the customer’s trust. This research aims to present the design of location tracking, opening-closing container door counting system, and temperature monitoring system for ice trucks using Internet of Things (IoT) techniques. The real-time information is visualized via a web application for tracking and monitoring ice trucks.
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Billah, Khondoker, Hatim O. Sharif und Samer Dessouky. „Statistical and Spatial Analysis of Large Truck Crashes in Texas (2017–2021)“. Sustainability 16, Nr. 7 (27.03.2024): 2780. http://dx.doi.org/10.3390/su16072780.
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Freight transportation, dominated by trucks, is an integral part of trade and production in the USA. Given the prevalence of large truck crashes, a comprehensive investigation is imperative to ascertain the underlying causes. This study analyzed 2017–2021 Texas crash data to identify factors impacting large truck crash rates and injury severity and to locate high-risk zones for severe incidents. Logistic regression models and bivariate analysis were utilized to assess the impacts of various crash-related variables individually and collectively. Heat maps and hotspot analysis were employed to pinpoint areas with a high frequency of both minor and severe large truck crashes. The findings of the investigation highlighted night-time no-passing zones and marked lanes as primary road traffic control, highway or FM roads, a higher posted road speed limit, dark lighting conditions, male and older drivers, and curved road alignment as prominent contributing factors to large truck crashes. Furthermore, in cases where the large truck driver was determined not to be at fault, the likelihood of severe collisions significantly increased. The study’s findings urge policymakers to prioritize infrastructure improvements like dual left-turn lanes and extended exit ramps while advocating for wider adoption of safety technologies like lane departure warnings and autonomous emergency braking. Additionally, public awareness campaigns aimed at reducing distracted driving and drunk driving, particularly among truck drivers, could significantly reduce crashes. By implementing these targeted solutions, we can create safer roads for everyone in Texas.
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Kim, Kyung-Jin. „Differences in Perceptions Regarding the Causes of Accidents in Logistics Vehicles: Freight vs. Passenger Cars“. Korean Logistics Research Association 34, Nr. 1 (28.02.2024): 57–70. http://dx.doi.org/10.17825/klr.2024.34.1.57.
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What factors do truck drivers consider as the primary causes of accidents? Study 1 investigated whether there were differences in risk perception among drivers of freight and passenger cars regarding various accident causes. Truck drivers perceived lower accident risks due to external factors during longer distances compared to shorter distances. Conversely, passenger car drivers felt lower risks at closer distances than at longer ones. This discrepancy can be attributed to variations in risk perception for the same accident factor, influenced by psychological fluency and the fit of regulatory focus with psychological distance.
Study 2 explored conditions where the interaction effect between driving distance and regulatory focus influenced by driver type (freight vs. passenger car), differed from Study 1. Participants indicated that, when anticipating driving long distances while intoxicated, the perceived risk of drunk driving decreased if they were identified as other truck drivers. However, when identifying themselves as truck drivers, the risk perception of drunk driving increased significantly. This pattern was also replicated in the context of drowsy driving.