Relevant bibliographies by topics / Hard-braking

Academic literature on the topic 'Hard-braking'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Hard-braking"

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Hunter, Margaret, Enrique Saldivar-Carranza, Jairaj Desai, Jijo K. Mathew, Howell Li, and Darcy M. Bullock. "A Proactive Approach to Evaluating Intersection Safety Using Hard-Braking Data." Journal of Big Data Analytics in Transportation 3, no. 2 (April 3, 2021): 81–94. http://dx.doi.org/10.1007/s42421-021-00039-y.

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AbstractTypical safety improvements at signalized intersections are identified and prioritized using crash data over 3–5 years. Enhanced probe data that provides date, time, heading, and location of hard-braking events has recently become available to agencies. In a typical month, over six million hard-braking events are logged in the state of Indiana. This study compared rear-end crash data over a period of 4.5 years at 8 signalized intersections with weekday hard-braking data from July 2019. Using Spearman’s rank-order correlation, results indicated a strong correlation between hard-braking events and rear-end crashes occurring more than 400 ft upstream of an intersection. The paper concludes that using a month or two of hard-braking events occurring upstream from the stop bar may be a useful tool to screen potential locations with elevated rear-end crashes. Using these techniques described in this paper, new commercially available hard-braking data sources will provide an opportunity for agencies to follow up with mitigation measures addressing emerging problems much quicker than typical practices that rely on 3–5 years of crash data.
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Ju, Jiawei, Aberham Genetu Feleke, Longxi Luo, and Xinan Fan. "Recognition of Drivers’ Hard and Soft Braking Intentions Based on Hybrid Brain-Computer Interfaces." Cyborg and Bionic Systems 2022 (July 20, 2022): 1–13. http://dx.doi.org/10.34133/2022/9847652.

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In this paper, we propose simultaneous and sequential hybrid brain-computer interfaces (hBCIs) that incorporate electroencephalography (EEG) and electromyography (EMG) signals to classify drivers’ hard braking, soft braking, and normal driving intentions to better assist driving for the first time. The simultaneous hBCIs adopt a feature-level fusion strategy (hBCI-FL) and classifier-level fusion strategies (hBCIs-CL). The sequential hBCIs include the hBCI-SE1, where EEG signals are prioritized to detect hard braking, and hBCI-SE2, where EMG signals are prioritized to detect hard braking. Experimental results show that the proposed hBCI-SE1 with spectral features and the one-vs-rest classification strategy performs best with an average system accuracy of 96.37% among hBCIs. This work is valuable for developing human-centric intelligent assistant driving systems to improve driving safety and driving comfort and promote the application of BCIs.
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Roberts, Roland G. "Braking Bad: Stopping Translation in Hard Times." PLoS Biology 12, no. 5 (May 20, 2014): e1001867. http://dx.doi.org/10.1371/journal.pbio.1001867.

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Xue, Yuqing, Stanford Chihuri, Howard F. Andrews, Marian E. Betz, Carolyn DiGuiseppi, David W. Eby, Linda L. Hill, et al. "Potentially Inappropriate Medication Use and Hard Braking Events in Older Drivers." Geriatrics 6, no. 1 (February 20, 2021): 20. http://dx.doi.org/10.3390/geriatrics6010020.

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Potentially inappropriate medications (PIMs) identified by the American Geriatrics Society should generally be avoided by older adults because of ineffectiveness or excess risk of adverse effects. Few studies have examined the effects of PIMs on driving safety measured by prospectively and objectively collected driving data. Data for this study came from the Longitudinal Research on Aging Drivers study, a multisite naturalistic driving study of older adults. Multivariable negative binominal modeling was used to estimate incidence rate ratios and 95% confidence intervals of hard braking events (proxies for unsafe driving behavior defined as events with a deceleration rate ≥0.4 g) associated with PIM use among older drivers. The study sample consisted of 2932 drivers aged 65–79 years at baseline, including 542 (18.5%) who used at least one PIM. These drivers were followed through an in-vehicle recording device for up to 44 months. The overall incidence of hard braking events was 1.16 per 1000 miles. Use of PIMs was associated with a 10% increased risk of hard braking events. Compared to drivers who were not using PIMs, the risk of hard braking events increased 6% for those using one PIM, and 24% for those using two or more PIMs. Use of PIMs by older adult drivers is associated in a dose-response fashion with elevated risks of hard braking events. Reducing PIM use in older adults might help improve driving safety as well as health outcomes.
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Abdul Majid, M. M., S. A. Abu Bakar, S. Mansor, M. K. Abdul Hamid, and N. H. Ismail. "Modelling and PID Value Search for Antilock Braking System (ABS) of a Passenger Vehicle." Journal of the Society of Automotive Engineers Malaysia 1, no. 3 (April 28, 2021): 228–36. http://dx.doi.org/10.56381/jsaem.v1i3.57.

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This paper presents the methodologies use in determining the PID value of an Antilock Brake System (ABS) of a Malaysian made passenger vehicle. The research work involves experimental work for data acquisitions, development of braking model, parameter tuning for both simulation model parameter and PID values search. A Malaysian made car is equipped with instrumentation used to collect vehicle behaviour during normal and hard braking manoeuvres. The data collected are the vehicle’s stopping distance and longitudinal speed. The data during the normal braking are used to validate a two degree of freedom (2 DOF) of vehicle’s braking model, while the data collected during the hard braking are used to search for the PID value used to control the operation of the ABS system. The developed simulation model of a braking system correlates well with the experimental data and the tuning done on the PID algorithm indicates that the ABS is controlled by the PI system.
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Ohgi, Yuji, Chikara Miyaji, and Kazutoshi Kobayashi. "An Analysis of Hard Braking of a Bicycle." Journal of Japan Society of Sports Industry 5, no. 2 (1995): 35–44. http://dx.doi.org/10.5997/sposun.5.2_35.

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Liu, Difei, Stanford Chihuri, Thelma Mielenz, Linda Hill, Carolyn DiGuiseppi, David Strogatz, and Guohua Li. "DIABETES MELLITUS AND HARD BRAKING EVENTS IN OLDER DRIVERS." Innovation in Aging 6, Supplement_1 (November 1, 2022): 754. http://dx.doi.org/10.1093/geroni/igac059.2738.

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Abstract There are an estimated 37 million people with diabetes mellitus (DM) in the United States, including 16 million older adults. DM can impair patients’ driving safety due to diabetic peripheral neuropathy, hypoglycemia, or hyperglycemia, and eye diseases. However, few studies have examined the association between DM and driving safety based on naturalistic driving data. Data for this study came from the Longitudinal Research on Aging Drivers (LongROAD) project, a multisite naturalistic driving study of 2990 drivers aged 65–79 years at baseline. Driving data for the study participants were recorded by in-vehicle recording devices for up to 44 months. We used multivariable negative binomial modeling to estimate the incidence rate ratios (IRRs) and 95% confidence intervals (CIs) of hard braking events (i.e., proxies for unsafe driving behavior defined as maneuvers with deceleration rates ≥ 0.4 g) associated with DM. Of the 2856 study participants eligible for this study, 482 (16.9%) reported having DM at baseline. The overall incidence rate of hard braking events was 1.16 per 1000 miles. Adjusted for age, race/ethnicity, marital status, education level, annual household income, urbanicity, history of stroke, and number of medications, drivers with DM had a 10% increased rate of hard braking events compared to drivers without DM (adjusted IRR 1.10; 95% CI: 1.08, 1.12). Results of this study indicates that DM is associated with a significantly increased rate of hard braking events in older drivers, suggesting less safe driving. Driving safety should be incorporated into DM management and care programs.
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Murugan, N., C. Sagong, A. S. Cuamatzi Castelan, K. Moss, T. Roth, C. L. Drake, and P. Cheng. "0203 To and From the Night Shift: Risky On-the-Road Driving in Night Shift Workers." Sleep 43, Supplement_1 (April 2020): A79—A80. http://dx.doi.org/10.1093/sleep/zsaa056.201.

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Abstract Introduction Drowsy driving is a common occupational hazard for night shift workers (NSWs). While sleep loss is commonly identified as the primary culprit of drowsy driving, another critical factor to consider is circadian phase. However, the role of circadian phase in driving safety has not been well characterized in NSWs. This study examined if dim light melatonin offset (DLMOff, i.e. the cessation of melatonin secretion) is also a relevant phase marker of susceptibility to four different subtypes of risky on-the-road driving behaviors. Methods On-the-road driving was monitored over 8 weeks via a mobile application that tracked risky driving behaviors using accelerometer and GPS data from cell phones (N=15; 3052 total driving events recorded). Risky driving behaviors included: 1) frequency of hard-braking events, 2) frequency of aggressive-acceleration events, 3) duration of excessive-speeding, and 4) duration of phone-usage. At week 2, participants spent 24 hours in-lab where hourly saliva samples were collected and assayed for melatonin, and DLMOff was calculated. Phase angle of driving events relative to DLMOff was used as the predictor in nested mixed-effects regressions, with risky driving behaviors as the outcome variables. Results The most common occurrences of risky driving were phone-usage and hard-braking. On average, NSWs had 46.7% and 42.0% of driving events with at least one occurrence of phone-usage and hard-braking, respectively. Rates of aggressive-acceleration and speeding were 24.4% and 20.4%. Positive phase angles (i.e. driving after DLMOff) were associated with reduced rates of hard-braking and aggressive-acceleration, but not of phone-usage and excessive-speeding. Specifically, rates of hard-braking and aggressive-acceleration decreased by 4.5% (p<.01) and 3.4% (p=.05) every two hours following DLMOff, respectively. Conclusion The study suggests DLMOff appears to be an important variable for predicting accident risk in NSWs. If replicated, circadian phase should be considered in recommendations to increase occupational health and safety of NSWs. Support Support for this study was provided to PC by NHLBI (K23HL138166).
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Lee, Suzanne E., Sarah B. Brown, Miguel A. Perez, Zachary R. Doerzaph, and Vicki L. Neale. "Normal and Hard Braking Behavior at Stop Signs and Traffic Signals." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 22 (September 2005): 1897–901. http://dx.doi.org/10.1177/154193120504902203.

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A testbed intersection violation warning system was developed to address the problem of intersection crashes. The effectiveness of such systems is fundamentally dependent on the driver-braking model used to decide if a warning should be issued to the driver. If the model is unrealistic, drivers can either be annoyed due to assumed braking levels that are too low, or can be warned too late if braking expectations are too high. Initial algorithm development relied on data from the Collision Avoidance Metrics Partnership (CAMP) Forward Collision Warning (FCW) project. However, it was unknown whether the CAMP data (collected in the presence of stopped lead vehicles) would be applicable to the intersection problem (e.g., will drivers respond similarly to red traffic signals and stopped lead vehicles). Braking profile and performance tests were thus conducted to determine the applicability of the CAMP FCW results to the intersection violation warning.
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Koylu, Hakan, and Ali Cinar. "Development of control algorithm for ABS–suspension integration to reduce rotational acceleration oscillations of wheel." Transactions of the Institute of Measurement and Control 40, no. 3 (November 13, 2016): 1018–34. http://dx.doi.org/10.1177/0142331216677318.

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In this study, we aimed to obtain smoother wheel rotational acceleration during braking with an activated anti-lock brake system (ABS). This produces effective and easily controlled rotational acceleration of a wheel by an ABS control unit. For this, the wheel load is changed by considering the interaction between the brake pressure change rates and rotational acceleration of the wheel. This is provided by means of the control strategy developed in this study. The rules of the control strategy are based on ABS test results. These tests are conducted with soft, medium-hard and hard dampers on wet and slippery road surfaces. Therefore, the control strategy changes the wheel load by setting the damper stage according to agreement between brake pressure and wheel rotational acceleration. Here, the control strategy constantly applies the damping force of the damper providing the shortest braking distance under wet or slippery road conditions. All results show that the control strategy considerably improves wheel rotational acceleration oscillations during braking with an activated ABS.
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Dissertations / Theses on the topic "Hard-braking"

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Deng, Jiantao. "Adaptation of A TruckSim Model to Experimental Heavy Truck Hard Braking Data." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1259633762.

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Books on the topic "Hard-braking"

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Joynt-Lang, Gloria. Braking Hard. The Wild Rose Press, 2020.

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Book chapters on the topic "Hard-braking"

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Zhou, Yue, Haiyue Liu, and Chuanyun Fu. "Investigating Contributing Factors of Hard-Braking Events on Urban Road Network." In Smart Transportation Systems 2022, 112–22. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2813-0_12.

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Eimeleus, K. B. E. E. "Skis as a Brake." In Skis in the Art of War, translated by William D. Frank and E. John B. Allen, 70–72. Cornell University Press, 2019. http://dx.doi.org/10.7591/cornell/9781501747403.003.0020.

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This chapter discusses using skis as a brake. For a skier-sportsman, braking with skis is a more suitable solution, but it requires better command over one's equipment than braking with poles. A skier can brake with both skis, or just one (in two distinct styles). When braking with two skis, the tips draw together while the tails tend to split apart. This method works well on hard snow; in soft snow, one must employ it gradually, otherwise a large pile of snow accumulates in front of the skis, movement stops abruptly, and a skier tumbles forward from their momentum. A variation of this is braking with one ski, which offers two possibilities: both of them are twisting motions.
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Skarka, Wojciech, Wojciech Kocoń, Ryszard Skoberla, and Anna Bzymek. "Innovative Suspension System Integrated to the Wheel Rim for Lightweight Vehicle." In Advances in Transdisciplinary Engineering. IOS Press, 2019. http://dx.doi.org/10.3233/atde190147.

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Car industry has dynamically developed the electric car segment and is always on the lookout for new solutions that could help a company to become a leader brand on the market. Besides fully autonomous car technologies also new mechanical solutions could give advantage over other companies. Thus many ideas have been made to replace conventional vehicle suspension by the use of a flexible wheel rim. Based on over a year of experience, researches and studies in a field of existing lightweight vehicle suspension systems it was decided to design new solution, which structure eliminates main disadvantages of existing solutions such as energy losses and poor stability. The new suspension solution was designed based on our own knowledge and TRIZ method as a tool of verification. The CAD model of subassembly was subjected to a virtual examination for three different situations: standard ride, hard braking and sudden acceleration. Then a mathematical model of vibration damping properties has been created using MATLAB Simulink software. Additionally, the suspension quality and energy loss analysis have been performed to verify whether the problem was solved. The obtained results have been investigated and compared with commercially used car suspension systems.
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Conference papers on the topic "Hard-braking"

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Simons-Morton, Bruce G., Marie Claude Ouimet, Jing Wang, Sheila G. Klauer, Suzanne E. Lee, and Thomas A. Dingus. "Hard Braking Events Among Novice Teenage Drivers By Passenger Characteristics." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2009. http://dx.doi.org/10.17077/drivingassessment.1327.

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Umemura, Atsushi, Yukio Saito, and Toshimasa Haneyoshi. "A study on the multi-motor for antagonistic hard braking." In 2009 International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2009. http://dx.doi.org/10.1109/icems.2009.5382756.

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Abdul Hamid, M. K., G. W. Stachowiak, and S. Syahrullail. "Effects of hard particles on friction coefficients and particle embedment in brake system during hard braking." In THE 4TH INTERNATIONAL MEETING OF ADVANCES IN THERMOFLUIDS (IMAT 2011). AIP, 2012. http://dx.doi.org/10.1063/1.4704303.

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Lenneman, Gabe, John Lenneman, and James Chagdes. "The Amount of Warning Stimulus Time Required to Prepare for a Hard-Breaking Event." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-88067.

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Abstract Autonomous shuttles are becoming a widely used form of public transportation. While autonomous shuttles have advantages to improve safety, potential riders have expressed concerns about falls and injuries sustained during braking events. In the current study we investigated the effects of multiple warning design parameters, including the modality and the temporal aspects of the warning stimulus, on balance maintenance during a simulated hard braking event. Two warning stimuli were used — an auditory stimulus and a visual stimulus. We investigated the effect of the timing of the warning in an attempt to determine how differences in warning time affect preparation for a simulated hard braking event and subsequent maintenance of balance throughout the event. The warning stimuli were presented 200–750 ms prior to the simulated hard braking. We found that participants had more time to prepare for the simulated braking event when presented with the auditory stimulus versus the visual stimulus. We also found that a minimum of a 600 ms warning was required to produce a significant difference in the amount of time to prepare for the simulated breaking event. The results of this current study suggest that given a future automated shuttle that can detect the surrounding environment and reliably predict conditions, then there is a benefit of presenting preemptive warnings for the purpose of maintaining balance and avoiding falls.
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Taheri, Saied, and E. Harry Law. "Investigation of a Combined Slip Control Braking and Closed Loop Four Wheel Steering System for an Automobile During Combined Hard Braking and Severe Steering." In 1990 American Control Conference. IEEE, 1990. http://dx.doi.org/10.23919/acc.1990.4791051.

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Tajeddin, S., M. Batra, N. L. Azad, J. McPhee, and R. A. Fraser. "An Adaptive and Fast Control Strategy for Antilock Braking System." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9779.

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After more than 30 years since the Antilock Braking System (ABS) was first introduced, it has become the most important active safety system used on passenger cars. However, it is hard to find a precise description of ABS, its stability and performance in the literature. Most of ABS algorithms currently used are not adaptive to changes of road friction conditions. The aim of our work is to provide a new ABS algorithm that is adaptive to changes of road conditions. To this end, an online parameter estimator is designed to estimate the road characteristics and maximum possible deceleration. Then, a driver demand regulator is proposed to limit the demanded deceleration to the maximum values. In this new strategy, road characteristics are estimated prior to the braking, not during the braking which makes it fast and adaptive. The proposed ABS algorithm is simulated on an artificial driving track and simulation results have been compared to a simple non-adaptive 6-phase Bosch ABS algorithm as our benchmark that is based on deceleration thresholds. Results show a better braking performance and more than 30% of reduction in braking distance.
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Lu, Zhenghong, Jian Song, and Liangyao Yu. "Seamless Shifting Control Based on Power Balance Method in Emergency Braking Condition." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71284.

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Abstract Implementation of multi-speed transmission for battery electric vehicle (BEV) is considered as one of effective methods in improving dynamic capability, reducing power consumption and downsizing the powertrain. Considering two trends of automotive technology, advanced driving assistance system (ADAS) and BEV electric powertrain, equipped with a two-speed transmission, can enhance the performance of automatic emergency braking systems (AEBS). When downshift operation is executed during regenerative braking, the multi-speed transmission in first gear can provide adequate brake force capacity for hard braking requirement, improving efficiency of energy recovery of drive motor as well as eliminating the dynamic lag of active braking booster. To ensure both the braking command and downshift requirement, a seamless clutch-to-clutch shifting control strategy based on power balance method is developed by analyzing the frictional work of two friction clutches inside the gear box and the transformation process of kinetic energy of rotational mechanical elements. To maintain the total energy balance of the powertrain as the control objective, the active power compensation of the drive motor during shifting fills the energy gap of the whole transmission system. With the estimation of clutches’ friction torque and shifting stage analyzer, optimal drive motor torque command can be numerically solved and a complete shifting control flow is designed in this study. Simulation results demonstrate the effectiveness of proposed control method in achieving seamless downshifting during regenerative braking, enhancing AEBS performance and improving energy recovery efficiency.
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Lin, Yuan, and Azim Eskandarian. "Experimental Evaluation of Different Controllers for Cooperative Adaptive Cruise Control." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5374.

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Cooperative Adaptive Cruise Control (CACC) systems which enable vehicle following with tight inter-vehicle head-way offer unique advantage to promote transportation mobility. CACC systems are a step forward the commercially available Adaptive Cruise Control (ACC) systems as they utilize inter-vehicle wireless communication for more advanced control system design. This work studies different wireless communication topologies, i.e., receiving wireless communication from one or more preceding vehicles, and different error-regulation controllers, i.e., linear vs non-linear, for CACC. Through robot following experiments, we show that appropriately designed CACC systems can all achieve vehicle following. For emergency hard braking, however, a non-linear vehicle-following controller which generates strong braking action at short inter-vehicle distances can reduce the risk of collision.
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Oh, Kyeung Heub, Jin Kwon Hwang, and Chul Ki Song. "Fuzzy Estimation of Vehicle Speed." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84029.

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The absolute longitudinal speed of a vehicle is estimated by using data from an accelerometer of the vehicle and wheel speed sensors of a standard 50-tooth antilock braking system. An intuitive solution to this problem is, “When wheel slip is low, calculate the vehicle velocity from the wheel speeds; when wheel slip is high, calculate the vehicle speed by integrating signal of the accelerometer.” The speed estimator weighted with fuzzy logic is introduced to implement the above concept, which is formulated as an estimation method. And the method is improved through experiments by how to calculate speed from acceleration signal and slip ratios. It is verified experimentally to usefulness o estimation speed of a vehicle. And the experimental result shows that the estimated vehicle longitudinal speed has only a 6 % worst-case error during a hard braking maneuver lasting a few seconds.
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Deng, Jiantao, Ashley L. Dunn, Dennis A. Guenther, and Gary J. Heydinger. "Adaptation of TruckSim Models to Simulate Experimental Heavy Truck Hard Braking Test Data Under Various Levels of Brake Disablement." In SAE 2010 Commercial Vehicle Engineering Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2010. http://dx.doi.org/10.4271/2010-01-1920.

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Reports on the topic "Hard-braking"

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Li, Howell, Jijo K. Mathew, Woosung Kim, and Darcy M. Bullock. Using Crowdsourced Vehicle Braking Data to Identify Roadway Hazards. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317272.

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Modern vehicles know more about the road conditions than transportation agencies. Enhanced vehicle data that provides information on “close calls” such as hard braking events or road conditions during winter such as wheel slips and traction control will be critical for improving safety and traffic operations. This research applied conflict analyses techniques to process approximately 1.5 million hard braking events that occurred in the state of Indiana over a period of one week in August 2019. The study looked at work zones, signalized intersections, interchanges and entry/exit ramps. Qualitative spatial frequency analysis of hard-braking events on the interstate demonstrated the ability to quickly identify temporary and long-term construction zones that warrant further investigation to improve geometry and advance warning signs. The study concludes by recommending the frequency of hard-braking events across different interstate routes to identify roadway locations that have abnormally high numbers of “close calls” for further engineering assessment.
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Sakhare, Rahul Suryakant, Jairaj Desai, Jijo K. Mathew, Woosung Kim, Justin Mahlberg, Howell Li, and Darcy M. Bullock. Evaluating the Impact of Vehicle Digital Communication Alerts on Vehicles. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317324.

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Traditional methods for communicating the presence of maintenance activities and work zones have been done with a variety of fixed signs. The increase of in-vehicle connectivity on our roads—either directly integrated into the vehicle or via an application running on a mobile phone–provides an opportunity for additional communication to motorists about the presence of emergency vehicles, maintenance activities, or work zones. Although the exact form of the in-vehicle communication is evolving and will continue to do so, a critical first step is to leverage the extensive telematics currently deployed on the Indiana Department of Transportation Vehicles. The objective of this study was to conduct trial deployments on a variety of INDOT vehicles, and to begin a dialog with private sector partners about what information INDOT can share that will provide a safer roadway for all motorists, INDOT workers, and INDOT partners. The final design of connected vehicles will likely change considerably over the next few years as market forces determine what type of information is directly integrated into the vehicle and what information is integrated via cell phones. This report identifies several examples where in-vehicle notification alerting drivers to the presence of service and contractor vehicles was acknowledged by drivers. Hard braking data is being used to determine if these alerts have a meaningful impact on safety. Early results indicate substantial reduction in hard braking events (from 29 to 3) between conditions when queue trucks are not used and when they are used. A larger data set is currently being collected with Hoosier Helpers to isolate the impact of the in-vehicle alerts.
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Nafakh, Abdullah Jalal, Franklin Vargas Davila, Yunchang Zhang, Jon D. Fricker, and Dulcy M. Abraham. Safety and Mobility Analysis of Rolling Slowdown for Work Zones: Comparison with Full Closure. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317380.

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There are times when the traffic lanes through a work zone must be kept clear for activities such as placing overhead beams, erecting overhead signs, and installing power lines, and other temporary roadway work activities. As an alternative to a full road closure, a rolling slowdown can typically provide up to 30 minutes to complete such activities without bringing approaching traffic to a complete halt. Using data from recent rolling slowdowns and full closures carried on the Indiana interstate network and a simulation approach, this study compares rolling slowdowns to full closures from safety and mobility standpoints. The study suggests that while rolling slowdowns are more impactful in terms of travel times, they are a safer option than full closures as they often form a forward moving shockwave causing, lower hard braking rates, and consequently a lower probability of causing a crash.
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Desai, Jairaj, Jijo K. Mathew, Howell Li, Rahul Sakhare, Deborah Horton, and Darcy M. Bullock. National Mobility Analysis for All Interstate Routes in the United States. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317585.

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In November 2022, Wejo Data Services Inc. provided Purdue with a national data set comprised of approximately 470 billion connected vehicle records covering all 50 states for the month of August 2022. The goal of the evaluation data set was to create a series of summary graphics to evaluate the scalability of work zone analytics graphics and electric/hybrid vehicle counts at a national level. This report illustrates several performance measures developed using this dataset for all interstate routes, both state wise and cross-country. State wise graphics are organized with 50 subdirectories containing graphics for each interstate in the 50 states. There are also a series of multi-state graphics for I-5, I-10, I-15, I-35, I-55, I-65, I-75, I-80, I-90, and I-95. Performance measures include absolute and normalized trip counts classified by type of trip (electric vehicle or hybrid vehicle or internal combustion engine vehicle), weekly heatmaps based on vehicle speed overlaid with hard-braking events and finally, speed profiles by interstate mile markers. Additional details on the directories and how to interpret these performance measures can found inside the document (after extracting the .zip file) titled “National_Mobility_Analysis_README.pdf”.
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