Journal articles: 'Disordered traffic'

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Mayakuntla, Sai Kiran, and Ashish Verma. "Cell Transmission Modeling of Heterogeneous Disordered Traffic." Journal of Transportation Engineering, Part A: Systems 145, no. 7 (July 2019): 04019027. http://dx.doi.org/10.1061/jtepbs.0000248.

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Harris, R. J., and R. B. Stinchcombe. "Ideal and disordered two-lane traffic models." Physica A: Statistical Mechanics and its Applications 354 (August 2005): 582–96. http://dx.doi.org/10.1016/j.physa.2005.02.030.

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Huang, Zhi Peng, Lin Cheng, and Wei Hua Zhang. "Traffic Flow Turbulence Characteristics Research Based on the Cellular Automaton Model." Applied Mechanics and Materials 496-500 (January 2014): 3022–25. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.3022.

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Turbulence coefficient r is introduced to simulate traffic disorder traffic flow characteristics. By analyzing the disturbance vehicles in the driving environment of different disordered state, the values of model simulation under different conditions analysis, using the traffic flow turbulence coefficient r disorder defined traffic flow characteristics, offers new reference for the study of the traffic flow theory. The accident rate and traffic flow turbulence characteristics are simulated and analyzed, which provides the theoretical gist for the simulation study of traffic flow.

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Sreekumar, M., and Tom V. Mathew. "Modeling multi-class disordered traffic flow subject to varying vehicle composition using the concept of traversable distance." International Journal of Modern Physics C 31, no. 12 (October 10, 2020): 2050170. http://dx.doi.org/10.1142/s0129183120501703.

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Disordered traffic stream at the microscopic level can be described as a permeable medium. Each vehicle is considered to traverse through a series of lateral gaps created by other vehicles. We develop a multi-class traffic flow model that considers such viable and accessible gaps for individual vehicle classes to traverse downstream. The model accounts for the varying shares of different vehicle classes. The concept of traversable distance and modified equilibrium speed functions are used to model the interplay among multiple vehicle classes. Using a higher order finite volume approximation method, evolution for a two-class traffic stream is shown. This model replicates prominent empirical characteristics exhibited by multi-class disordered traffic such as overtaking and creeping. Varying shares of smaller vehicles affect queue formation and discharge characteristics, and have significant impacts on roadway capacity. The model also could compute dynamic class-specific travel times at different vehicular compositions more realistically.

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Nagatani, Takashi. "Control of vehicular traffic through a sequence of traffic lights positioned with disordered interval." Physica A: Statistical Mechanics and its Applications 368, no. 2 (August 2006): 560–66. http://dx.doi.org/10.1016/j.physa.2005.12.031.

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de Aquino, Belisa R. H., and Marek Cieplak. "Network of inter-basin traffic in intrinsically disordered PUMA protein." EPL (Europhysics Letters) 132, no. 2 (October 1, 2020): 28002. http://dx.doi.org/10.1209/0295-5075/132/28002.

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Sihag, Gurmesh, Manoranjan Parida, and Praveen Kumar. "Travel Time Prediction for Traveler Information System in Heterogeneous Disordered Traffic Conditions Using GPS Trajectories." Sustainability 14, no. 16 (August 14, 2022): 10070. http://dx.doi.org/10.3390/su141610070.

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Precise travel time prediction allows travelers and system controllers to be aware of the future conditions on roadways and helps in pre-trip planning and traffic control strategy formulation to lessen the travel time and mitigate traffic congestion problems. This research investigates the possibility of using the GPS trajectory dataset for travel time prediction in Indian traffic conditions having heterogeneous disordered traffic and improvement in prediction accuracy by shifting from the traditional historical average method to modern machine learning algorithms such as linear regressions, decision tree, random forest, and gradient boosting regression. The present study uses massive location data consisting of historical trajectories that were collected by installing GPS devices on the probe vehicles. A 3.6 km long stretch of the Delhi–Noida Direct (DND) flyway is selected as a case study to predict the travel time and compare the performance as well as the efficiency of various travel time prediction algorithms.

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Nair, Rahul, Hani S. Mahmassani, and Elise Miller-Hooks. "A porous flow approach to modeling heterogeneous traffic in disordered systems." Procedia - Social and Behavioral Sciences 17 (2011): 611–27. http://dx.doi.org/10.1016/j.sbspro.2011.04.534.

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Kanagaraj, Venkatesan, and Martin Treiber. "Self-driven particle model for mixed traffic and other disordered flows." Physica A: Statistical Mechanics and its Applications 509 (November 2018): 1–11. http://dx.doi.org/10.1016/j.physa.2018.05.086.

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Nair, Rahul, Hani S. Mahmassani, and Elise Miller-Hooks. "A porous flow approach to modeling heterogeneous traffic in disordered systems." Transportation Research Part B: Methodological 45, no. 9 (November 2011): 1331–45. http://dx.doi.org/10.1016/j.trb.2011.05.009.

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Evans, M. R. "Bose-Einstein condensation in disordered exclusion models and relation to traffic flow." Europhysics Letters (EPL) 36, no. 1 (October 1, 1996): 13–18. http://dx.doi.org/10.1209/epl/i1996-00180-y.

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Chauhan, Ritvik, Ashish Dhamaniya, and Shriniwas Arkatkar. "Analysing driver’s decision in dilemma zone at signalized intersections under disordered traffic conditions." Transportation Research Part F: Traffic Psychology and Behaviour 89 (August 2022): 222–35. http://dx.doi.org/10.1016/j.trf.2022.06.016.

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Chauhan, Ritvik, Ashish Dhamaniya, and Shriniwas Arkatkar. "Spatiotemporal Variation of Rear-End Conflicts at Signalized Intersections under Disordered Traffic Conditions." Journal of Transportation Engineering, Part A: Systems 147, no. 11 (November 2021): 05021007. http://dx.doi.org/10.1061/jtepbs.0000589.

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Maripini, HimaBindu, Lelitha Vanajakshi, and Bhargava Rama Chilukuri. "Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data." Journal of Advanced Transportation 2022 (June 2, 2022): 1–16. http://dx.doi.org/10.1155/2022/7310250.

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Increased travel times are often observed on urban roads, with signalized intersections being the major bottlenecks. The inability of existing static signal timings in accommodating the actual demand fluctuations could be one of the contributing factors. A traffic-responsive signal control system that changes signal timings according to traffic volume fluctuations may alleviate this problem. However, such problems are conventionally formulated based on the data collected from location-based sensors, which are infrastructure intensive and costly and fail to capture mixed and disordered traffic conditions. Considering these limitations, this paper presents an optimal signal design using sample travel time information collected from mobile data sources such as GPS/Bluetooth/Wi-Fi sensors that work independently of the traffic conditions and are relatively cost-effective. The proposed adaptive signal design minimizes total intersection delay at isolated intersections for every cycle based on the traffic conditions observed in the previous cycle. The mathematical programming-based formulation uses shock waves formed during the red and green phases to estimate optimal-phase durations. Results revealed that the proposed design is capable of handling traffic flow fluctuations without requiring the entire traffic stream data. The system demonstrated that sample data from four probe vehicles per phase is adequate for real-time optimal signal design. Results showed that the proposed model outperformed the existing Webster’s signal design procedure with a delay reduction of 11.78% when compared theoretically and 10.41% when implemented in VISSIM.

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Cassel, W., T. Ploch, C. Becker, D. Dugnus, J. H. Peter, and P. von Wichert. "Risk of traffic accidents in patients with sleep-disordered breathing: reduction with nasal CPAP." European Respiratory Journal 9, no. 12 (December 1, 1996): 2606–11. http://dx.doi.org/10.1183/09031936.96.09122606.

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Li, Jun Tao, and Li Wei Zhang. "Research of Drop and Pull Transport System Based on Internet of Things." Applied Mechanics and Materials 263-266 (December 2012): 2865–71. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2865.

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Domestic Drop and Pull Transport Mode exists several problems like slow development, disordered organization and low degree of informatization, which making the low efficiency of transportation management. This paper design an intelligent system which is based on IOT technology to realize the cargo tracking, intelligent traffic, logistics information service and carry on a visualization logistics operation service through the whole cargo flow. Finally realize the synergy between intelligent storage and intelligent transport, improve the logistics service.

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Feng, Jiangpeng, Xiqiang Chang, Yanfang Fan, and Weixiang Luo. "Electric Vehicle Charging Load Prediction Model Considering Traffic Conditions and Temperature." Processes 11, no. 8 (July 26, 2023): 2256. http://dx.doi.org/10.3390/pr11082256.

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The paper presents a novel charging load prediction model for electric vehicles that takes into account traffic conditions and ambient temperature, which are often overlooked in conventional EV load prediction models. Additionally, the paper investigates the impact of disordered charging on distribution networks. Firstly, the paper creates a traffic road network topology and speed-flow model to accurately simulate the driving status of EVs on real road networks. Next, we calculate the electric vehicle power consumption per unit kilometer by considering the effects of temperature and vehicle speed on electricity consumption. Then, we combine the vehicle’s main parameters to create a single electric vehicle charging model, use the Monte Carlo method to simulate electric vehicle travel behavior and charging, and obtain the spatial and temporal distribution of total charging load. Finally, the actual traffic road network and typical distribution network in northern China are used to analyze charging load forecast estimates for each typical functional area under real vehicle–road circumstances. The results show that the charging load demand in different areas has obvious spatial and temporal distribution characteristics and differences, and traffic conditions and temperature factors have a significant impact on electric vehicle charging load.

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Xu, Peijuan, Francesco Corman, Qiyuan Peng, and Xiaojie Luan. "A Timetable Rescheduling Approach and Transition Phases for High-Speed Railway Traffic during Disruptions." Transportation Research Record: Journal of the Transportation Research Board 2607, no. 1 (January 2017): 82–92. http://dx.doi.org/10.3141/2607-11.

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Research focused on the real-time rescheduling of high-speed railway traffic with a quasi-moving blocking system and transition process affected by the entrance delays and disruptions determining speed limitation. A mixed-integer linear program model related to a job shop model of operations is formulated to reduce the final delay (tardiness) of trains, where three objective functions combine different manners related to traffic control and speed management. The dynamic interaction between train speed and distance headway is considered in the model. Through experiments on a real-world high-speed line in China, the solution quality of the model is assessed by the delay distribution of trains or the smooth degree of train speed profile. The model manages to optimize traffic in the transition from a disordered condition (when disruptions appear) to a normal condition (after disruptions) for real-time operations. In conclusion, there are two and three transition phases for the cases without and with entrance delays, respectively, seen by analyzing the deviation between the rescheduled and planned timetables.

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Nirmale, Sangram Krishna, Abdul Rawoof Pinjari, and Anshuman Sharma. "A discrete-continuous multi-vehicle anticipation model of driving behaviour in heterogeneous disordered traffic conditions." Transportation Research Part C: Emerging Technologies 128 (July 2021): 103144. http://dx.doi.org/10.1016/j.trc.2021.103144.

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Fourrate, K., and M. Loulidi. "Disordered cellular automaton traffic flow model: phase separated state, density waves and self organized criticality." European Physical Journal B 49, no. 2 (January 2006): 239–46. http://dx.doi.org/10.1140/epjb/e2006-00044-x.

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21

Sreekumar, M., and Tom V. Mathew. "Modelling multi-class disordered traffic streams using traversable distance: a concept analogous to fluid permeability." Transportmetrica A: Transport Science 16, no. 3 (January 1, 2020): 1531–51. http://dx.doi.org/10.1080/23249935.2020.1764661.

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22

Rex, Katharine M., Daniel F. Kripke, Melville R. Klauber, and Sonia Ancoli-Israel. "Sleep-Disordered Breathing in Middle-Aged Adults Predicts No Significantly Higher Rates of Traffic Violations." Chest 119, no. 5 (May 2001): 1623–24. http://dx.doi.org/10.1378/chest.119.5.1623.

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Sun, Yu, Binglei Xie, Shan Wang, and Dazhuang Wu. "Dynamic Assessment of Road Network Vulnerability Based on Cell Transmission Model." Journal of Advanced Transportation 2021 (May 31, 2021): 1–14. http://dx.doi.org/10.1155/2021/5575537.

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The road network maintaining stability is critical for guaranteeing urban traffic function. Therefore, the vulnerable links need to be identified accurately. Previous vulnerability research under static condition compared the operating states of the old equilibrium before the event and the new equilibrium after the event to assess vulnerability ignoring the dynamic variation process. Does road network vulnerability change over time? This paper combines the vulnerability assessment with the traffic flow evolution process, exploring the road network vulnerability evaluation from the perspective of time dimension. More accurate identification and evaluation of vulnerable nodes and links can help to strengthen the ability of road network resisting disturbances. A modified dynamic traffic assignment (DTA) model is established for dynamic path selection (reselect the shortest path at the end of each link) based on the dynamic user optimal (DUO) principle. A modified cell transmission model is established to simulate the traffic flow evolution processes. The cumulative and time-varying index of vulnerability assessment is established from the viewpoint of traveler’s time loss. Then the road network vulnerability assessment combined the traffic flow model with the vulnerability index. The road network vulnerability assessment of Bao’an Central District of Shenzhen, China, reveals that road network vulnerability does contain a dynamic process, and vulnerable links in each phase can be exactly identified by the model. Results showed that the road network would have a large vulnerability during the disordered phase when the main road fails. Therefore, prioritizing the smooth flow of main roads can weaken the impact of road network vulnerability exposure.

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Munigety, Caleb Ronald. "Motion planning methods for autonomous vehicles in disordered traffic systems: a comparative analysis and future research directions." International Journal of Vehicle Autonomous Systems 15, no. 2 (2020): 152. http://dx.doi.org/10.1504/ijvas.2020.10030411.

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Munigety, Caleb Ronald. "Motion planning methods for autonomous vehicles in disordered traffic systems: a comparative analysis and future research directions." International Journal of Vehicle Autonomous Systems 15, no. 2 (2020): 152. http://dx.doi.org/10.1504/ijvas.2020.108435.

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Sihag, Gurmesh, Praveen Kumar, and Manoranjan Parida. "Development of a Machine-Learning-Based Novel Framework for Travel Time Distribution Determination Using Probe Vehicle Data." Data 8, no. 3 (March 14, 2023): 60. http://dx.doi.org/10.3390/data8030060.

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Investigating travel time variability is critical for pre-trip planning, reliable route selection, traffic management, and the development of control strategies to mitigate traffic congestion problems cost-effectively. Hence, a large number of studies are available in the literature which determine the most suitable distribution to fit the travel time data, but these studies recommend different distributions for the travel time data, and there is a disagreement on the best distribution option for fitting to the travel time data. The present study proposes a novel framework to determine the best distribution to represent the travel time data obtained from probe vehicles by using the modern machine learning technique. This study employs vast travel time data collected by fitting GPS tracking units on the probe vehicles and offers a comprehensive investigation of travel time distribution in different scenarios generated due to spatiotemporal variation of the travel time. The study also considers the effect of weather and uses the three most commonly used non-parametric goodness-of-fit tests (namely, Kolmogorov–Smirnov test, Anderson–Darling test, and chi-squared test) to fit and rank a comprehensive set of around 60 unimodal statistical distributions. The framework proposed in the study can determine the travel time distribution with 91% accuracy. Additionally, the distribution determined by the framework has an acceptance rate of 98.4%, which is better than the acceptance rates of the distributions recommended in existing studies. Because of its robustness and applicability in many different traffic situations, the proposed framework can also be used in developing countries with heterogeneous disordered traffic conditions to evaluate the road network’s performance in terms of travel time reliability.

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Jiang, Taiping, Zili Wang, and Fuyang Chen. "Urban Traffic Signals Timing at Four-Phase Signalized Intersection Based on Optimized Two-Stage Fuzzy Control Scheme." Mathematical Problems in Engineering 2021 (March 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/6693562.

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This paper proposes a signal timing scheme through a two-stage fuzzy logic controller. The controller first determines the signal phase and then adjusts the green time. At the first stage, the adaptive membership function of vehicle arrival rate is improved to adapt to the changing traffic flow. In addition to arrival rate and queue vehicles, a specific phase order rule is considered to avoid disordered phase selection in fuzzy control. At the second stage, the green time detection module decides whether to extend the current green time or switch phases every few seconds and the vehicle arrival rate is not required as the input to controller in real-time detection. Differential evolution algorithm with low space complexity and fast convergence is applied to optimize the fuzzy rules for avoiding artificial uncertainty. Simulation experiments are designed to compare traditional fuzzy controller, fixed-time controller, and fuzzy controller without flow prediction. Results show that the current proposed method in this paper can reduce vehicle delay significantly.

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Shadananan, Vishnu, Varma N. K. Sapna, Rahul D. Prabha, V. V. Ajith, and Parvathy Ghosh. "Risk factors of sleep-disordered breathing among Public Transport Drivers of Kochi, India." International Journal of Occupational Safety and Health 13, no. 1 (January 1, 2023): 55–62. http://dx.doi.org/10.3126/ijosh.v13i1.43759.

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Introduction: Sleep-disordered breathing (SDB) appears to be a major occupational health concern among transport drivers as it increases the chance of road traffic crashes. The study aimed to determine the prevalent risk factors of sleep-disordered breathing in public transport drivers of Kochi, India. Methods: A descriptive cross-sectional study was performed among 50 public transport drivers who satisfied the inclusion criteria and were categorized as high and low-risk groups using the STOP-BANG questionnaire. Physical examination recorded Neck circumference, waist-hip ratio, body mass index, blood pressure, and facial profile. Excessive daytime sleepiness was evaluated using the Epworth sleepiness scale. Mann Whitney and Chi-square tests were used to test for significance. Logistic regression was also done by including the significant variables. Results: The high risk (n= 27) and low-risk groups (n=23) were identified. Among the high-risk group; age, body mass index, neck circumference, blood pressure, snoring and tiredness showed statistically significant results (p<0.05) when compared to the low-risk group. Excessive daytime sleepiness was present among 29.6% of high-risk subjects. Logistic regression confirmed that age (OR=1.176; p=0.001) and body mass index (OR=1.348; p=0.050) were independent predictors of developing a high risk of SDB. Conclusion: mong public transport drivers in Kochi, India; older age and increased body mass index were significant contributing factors to developing sleep-disordered breathing. Obstructive sleep apnea (OSA), whether diagnosed or undiagnosed, is a major public health concern and a proven risk factor for vehicle crashes. Applicants for public transport driver's licenses should be thoroughly examined for the risk of OSA/SDB. A standardized screening protocol for OSA risk assessment should be advisable for public transport drivers to ensure road safety.

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Malinauskiene, Vilija, and Romualdas Malinauskas. "Lifetime Traumatic Experiences and Disordered Eating among University Students: The Role of Posttraumatic Stress Symptoms." BioMed Research International 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/9814358.

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The associations between lifetime traumatic events (TEs), posttraumatic stress (PTS) symptoms, and disordered eating (DE) were studied in a sample of 614 university students (mean age 20 years). An anonymous questionnaire included 32 lifetime TEs, IES-revised measured PTS symptoms, and EAT-26 evaluated DE symptoms. Statistical analyses included Pearson correlations and structural equation models (SEM) with bootstrapping method. Findings reveal the prevalence of DE in 8.1% of participants, while 73.9% of students experienced at least one lifetime TE. 52.0% of students with DE had PTS symptoms (p<0.0001) and 30.8% of students with lifetime TEs had PTS symptoms (p<0.001). In SEM, direct paths from lifetime TEs to PTS symptoms (0.38, p<0.0001) and from PTS symptoms to DE (0.40, p<0.0001) were observed. The final SEM confirmed the mediating role of PTS symptoms in the path between some TEs (traffic accident and seriously injured) and DE among the university students. If PTS symptoms are associated with DE, then addressing PTS symptoms in the context of DE treatment may improve treatment efficacy.

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Zhang, Jun Ming, Yu Min Zhang, and Zhao De Liu. "Highway Construction under Land Restriction and Space Development along Lines -Exemplify by Shandong Province." Advanced Materials Research 450-451 (January 2012): 1133–37. http://dx.doi.org/10.4028/www.scientific.net/amr.450-451.1133.

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China has in a stage of rapid development, Land occupation of urbanization is traffic and urban construction, while the contradiction of land resource utilization that brought about by large-scale construction of highway becomes more and more obvious. This paper takes Shandong as an example, shortland resource as the background, analysises the feasibility of large scale construction of highway in the prospect of transportation efficiency and land supply. From regional urban system development, it analysises the important impact of expansion in urban built-up area and space layout, and distribution of GDP-scale, to illustrate the highway construction can bring about the tendency of flatten development in region stronger. It concludes that Shandong should control the moderate scale of highway, improve comprehensive benefit, pay close attention to the development of cities along lines, prevent disordered spread, adopt metropolitan area development strategy, save resources.

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Zhou, Guiliang, Kai Huang, and Lina Mao. "Design of Commute Carpooling Based on Fixed Time and Routes." International Journal of Vehicular Technology 2014 (December 31, 2014): 1–8. http://dx.doi.org/10.1155/2014/634926.

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Although the private carpooling market of China has grown rapidly, it has been embarrassed by problems such as obstructed information, disordered expense, and frequent crimes currently. In this paper, a commute carpooling program based on fixed time and routes is designed and corresponding carpooling information platform is built to realize information retrieval, information matching, and mutual selection and evaluation. We have practiced the program in Huaian, China, and then evaluated it using the improved time-expense impedance model and VISSIM simulation system. The result shows that the carpooling program can reduce 65%~86% of the time-expense impedance and optimize some network parameters up to 20%~40%. Since it will help in reducing the travel time and cost greatly, improving safety and economy during carpooling, and easing the traffic congestion, it is a worthy carpooling mode to be extended in China.

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Mandal, Rituparno, and Peter Sollich. "Shear-induced orientational ordering in an active glass former." Proceedings of the National Academy of Sciences 118, no. 39 (September 22, 2021): e2101964118. http://dx.doi.org/10.1073/pnas.2101964118.

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Dense assemblies of self-propelled particles that can form solid-like states also known as active or living glasses are abundant around us, covering a broad range of length scales and timescales: from the cytoplasm to tissues, from bacterial biofilms to vehicular traffic jams, and from Janus colloids to animal herds. Being structurally disordered as well as strongly out of equilibrium, these systems show fascinating dynamical and mechanical properties. Using extensive molecular dynamics simulation and a number of distinct dynamical and mechanical order parameters, we differentiate three dynamical steady states in a sheared model active glassy system: 1) a disordered state, 2) a propulsion-induced ordered state, and 3) a shear-induced ordered state. We supplement these observations with an analytical theory based on an effective single-particle Fokker–Planck description to rationalize the existence of the shear-induced orientational ordering behavior in an active glassy system without explicit aligning interactions of, for example, Vicsek type. This ordering phenomenon occurs in the large persistence time limit and is made possible only by the applied steady shear. Using a Fokker–Planck description with parameters that can be measured independently, we make testable predictions for the joint distribution of single-particle position and orientation. These predictions match well with the joint distribution measured from direct numerical simulation. Our results are of relevance for experiments exploring the rheological response of dense active colloids and jammed active granular matter systems.

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Li, Xun, Mengchao Yan, Jun Chen, and Yang Luo. "The Potential of Mesenchymal Stem Cells for the Treatment of Cytokine Storm due to COVID-19." BioMed Research International 2021 (November 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/3178796.

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The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has seriously affected public health and social stability. The main route of the transmission is droplet transmission, where the oral cavity is the most important entry point to the body. Due to both the direct harmful effects of SARS-CoV-2 and disordered immune responses, some COVID-19 patients may progress to acute respiratory distress syndrome or even multiple organ failure. Genetic variants of SARS-CoV-2 have been emerging and circulating around the world. Currently, there is no internationally approved precise treatment for COVID-19. Mesenchymal stem cells (MSCs) can traffic and migrate towards the affected tissue, regulate both the innate and acquired immune systems, and participate in the process of healing. Here, we will discuss and investigate the mechanisms of immune disorder in COVID-19 and the therapeutic activity of MSCs, in particular human gingiva mesenchymal stem cells.

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Matsuda, Atsushi, and Mohammad R. K. Mofrad. "On the nuclear pore complex and its emerging role in cellular mechanotransduction." APL Bioengineering 6, no. 1 (March 1, 2022): 011504. http://dx.doi.org/10.1063/5.0080480.

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The nuclear pore complex (NPC) is a large protein assembly that perforates the nuclear envelope and provides a sole gateway for traffic between the cytoplasm and the nucleus. The NPC controls the nucleocytoplasmic transport by selectively allowing cargoes such as proteins and mRNA to pass through its central channel, thereby playing a vital role in protecting the nuclear component and regulating gene expression and protein synthesis. The selective transport through the NPC originates from its exquisite molecular structure featuring a large scaffold and the intrinsically disordered central channel domain, but the exact mechanism underlying the selective transport remains elusive and is the subject of various, often conflicting, hypotheses. Moreover, recent studies have suggested a new role for the NPC as a mechanosensor, where the NPC changes its channel diameter depending on the nuclear envelope tension, altering the molecular transportability through this nanopore. In this mini-review, we summarize the current understandings of the selective nature of the NPC and discuss its emerging role in cellular mechanotransduction.

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Dong, Likuan, and Xin Li. "Evolution of Urban Construction Land Structure Based on Information Entropy and Shift-Share Model: An Empirical Study on Beijing-Tianjin-Hebei Urban Agglomeration in China." Sustainability 14, no. 3 (January 22, 2022): 1244. http://dx.doi.org/10.3390/su14031244.

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Urban agglomerations are important carriers of the current world economic development and economic center of gravity shift, while urban construction land structure reflects and influences the functions and development directions of urban agglomerations and cities within them. It is significant to study the characteristics of urban construction land structure in urban agglomerations. Based on information entropy model and shift-share model, this study discusses and analyzes the evolution characteristics and spatial allocation differences of urban construction land structure in Beijing-Tianjin-Hebei urban agglomeration, and simulates the spatial allocation differences with the help of GIS technology. The empirical research results show that from, 2006 to 2017, the overall structure of urban construction land in Beijing-Tianjin-Hebei urban agglomeration changes alternately between “orderly” and “disorderly”, and finally the overall development was slightly disordered. Furthermore, there are significant differences in the competitiveness of different types of land in different cities. Among them, green land, public facilities land, and road traffic land show obvious replenishment effect, which are mainly distributed in Handan-Zhangjiakou northwestern Hebei, Tianjin-Cangzhou in the eastern coast, Baoding-Xingtai in central and southern Hebei, while industrial land and storage land, which are mainly distributed in Beijing-Tangshan-Langfang around the capital and Shijiazhuang-Handan-Hengshui in central and southern Hebei, show obvious crowding-out effect. In addition, the temporal changes and spatial allocation differences of urban construction land structure are influenced by many factors, such as economic development, industrial structure, population size, etc. Therefore, it is suggested that the coordinated development of urban agglomerations should adhere to the principle of “differentiated development before coordinated development, local coordinated development before overall coordinated development”.

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Matsuura, Yutaka, Hieyong Jeong, Kenji Yamada, Kenji Watabe, Kayo Yoshimoto, and Yuko Ohno. "Screening Sleep Disordered Breathing with Noncontact Measurement in a Clinical Site." Journal of Robotics and Mechatronics 29, no. 2 (April 20, 2017): 327–37. http://dx.doi.org/10.20965/jrm.2017.p0327.

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[abstFig src='/00290002/06.jpg' width='300' text='Respiratory rate from simulator and Kinect' ]Background and purpose:It has been considered that sleep-disordered breathing disorders, such as sleep apnea syndrome (SAS), cause an increase in the risk of cardiovascular disease or traffic accident risk, and thus early detection of SAS is important. It has been also important for medical workers at clinical sites to quantitatively evaluate the respiratory condition of hospitalized patients who are asleep in a simple method. A noncontact-type system was proposed to monitor the respiratory condition of sleeping patients and minimized patient-related stress such that medical workers could use the system for SAS screening and perform a preliminary check prior to definite diagnosis.Method:The system included Microsoft Kinect™ for windows® (Kinect), a tripod, and a PC. A depth sensor of Kinect was used to measure movement in the thorax motion. Data obtained from periodic waveforms were divided with the intervals of 1 min, and the number of peaks was used to obtain the respiratory rate. Additionally, a frequency analysis was performed to calculate the respiratory frequency from a frequency at which the maximum amplitude was observed. In Experiment 1), a METI-man® PatientSimulator (CAE healthcare) (simulator) was used to study the respiratory rate and frequency calculated from the Kinect data by gradually changing the designated respiratory rate. In Experiment 2), the respiratory condition of four sleeping subjects was monitored to calculate their respiratory rate and frequencies. Furthermore, a video camera was used to confirm periodic waveforms and spectrum features of body movements during sleep.Results:In Experiment 1), the results indicated that both the respiratory rate and frequency corresponded to the designated respiratory rate in each time zone. In Experiment 2), the results indicated that the respiratory rate of examines 1, 2, 3, and 4 corresponded to 12.79±2.44 times/min (average ± standard deviation), 16.46±4.33 times/min, 28.24±2.79 times/min, and 13.05±2.64 times/min, respectively. The findings also indicated that the frequency of examines 1, 2, 3, and 4 corresponded to 0.20±0.04 Hz, 0.26±0.06 Hz, 0.45±0.12 Hz, and 0.22±0.06 Hz, respectively. The periodic waveforms and amplitude spectra were enhanced with respect to body movements although regular waveform data were obtained after the body movement occurred.Discussions:The results indicated that body movement and posture temporarily affected monitoring of the system. However, the findings also revealed that it was possible to calculate the respiratory rate and frequency, and thus it was considered that the system was useful for monitoring the respiration confirm with the non-contact or SAS screening of patients in clinical site.

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Long, Yuqing, and Yanguang Chen. "Multifractal scaling analyses of urban street network structure: The cases of twelve megacities in China." PLOS ONE 16, no. 2 (February 18, 2021): e0246925. http://dx.doi.org/10.1371/journal.pone.0246925.

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Traffic networks have been proved to be fractal systems. However, previous studies mainly focused on monofractal networks, while complex systems are of multifractal structure. This paper is devoted to exploring the general regularities of multifractal scaling processes in the street network of 12 Chinese cities. The city clustering algorithm is employed to identify urban boundaries for defining comparable study areas; box-counting method and the direct determination method are utilized to extract spatial data; the least squares calculation is employed to estimate the global and local multifractal parameters. The results showed multifractal structure of urban street networks. The global multifractal dimension spectrums are inverse S-shaped curves, while the local singularity spectrums are asymmetric unimodal curves. If the moment order q approaches negative infinity, the generalized correlation dimension will seriously exceed the embedding space dimension 2, and the local fractal dimension curve displays an abnormal decrease for most cities. The scaling relation of local fractal dimension gradually breaks if the q value is too high, but the different levels of the network always keep the scaling reflecting singularity exponent. The main conclusions are as follows. First, urban street networks follow multifractal scaling law, and scaling precedes local fractal structure. Second, the patterns of traffic networks take on characteristics of spatial concentration, but they also show the implied trend of spatial deconcentration. Third, the development space of central area and network intensive areas is limited, while the fringe zone and network sparse areas show the phenomenon of disordered evolution. This work may be revealing for understanding and further research on complex spatial networks by using multifractal theory.

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Domeneghini, Jennifer, Janaina Macke, and João A. R. Sarate. "Walkability Drivers for Sustainable Cities: a Pedestrian Behavior Survey." Journal of Sustainable Architecture and Civil Engineering 30, no. 1 (June 16, 2022): 65–77. http://dx.doi.org/10.5755/j01.sace.30.1.29756.

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The growth of cities often disordered brings several mobility challenges, both in guaranteeing public transport and creating pedestrian-friendly urban spaces. This paper aims to identify the walkability drivers in urban areas and investigate walkability behavior. The survey was carried out in southern Brazil, with a sample of 439 respondents. Data were subject to factorial analysis, regression analysis, and variance analysis. The analysis revealed four walkability drivers that explain pedestrian behavior: (i) infrastructure, (ii) traffic conditions and behavior, (iii) built and natural environments, and (iv) social relations. The results show that built and natural environments and social relations were the most significant aspects in explaining walkability’s overall perception. Concerning socio-demographic aspects, the study points out that (i) men feel safer than women when walking in the neighborhood; (ii) the presence of trees and attractive places along the street increases the walking behavior of non-sedentary people; and (iii) the perception of the neighborhood’s beauty increases with age. The research provides contributions regarding understanding the interrelated aspects of walkability behavior. Finally, the study offers relevant evidence for social researchers and urban planners by identifying walkability drivers and supporting political and academic debate elements.

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Hermawati, Rina. "The Strategy of Street Vendors in Facing Local Government Policy. A Case of Street Vendor in Bandung." GATR Journal of Business and Economics Review 2, no. 1 (March 13, 2017): 42–48. http://dx.doi.org/10.35609/jber.2017.2.1(5).

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Objective - The presence of street vendors in public places has emerged some problems, such as disordered situation, traffic jam and decreasing aesthetics of the city. In order to overcome the problems, Bandung have some policies issued such as relocation, arrangement and business loans. However, these policies never completely solve the street vendors problems. This research will describe the strategy of street vendors in retaining the existence of their selling place. Methodology/Technique - The research took place in Bandung using the qualitative approach. Bandung is one of the big city in Indonesia and also capital of west java province. The activity of data collection was conducted through participant observation, in-depth interviews, and documentation. Findings - The result of the research shows that the strategy of street vendors in resisting the city government was conducted through various ways, both disguised and open ones. Both types of resistance were committed individually and collectively. Novelty - This article describes the tactics and strategies developed by the street vendors to face the government policy. Type of Paper: Empirical Keywords: Street Vendors; Public Places; Public Policy; Resistance; Relocation. JEL Classification: P25, J48.

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Kralt, Annemarie, Noorjahan B. Jagalur, Vincent van den Boom, Ravi K. Lokareddy, Anton Steen, Gino Cingolani, Maarten Fornerod, and Liesbeth M. Veenhoff. "Conservation of inner nuclear membrane targeting sequences in mammalian Pom121 and yeast Heh2 membrane proteins." Molecular Biology of the Cell 26, no. 18 (September 15, 2015): 3301–12. http://dx.doi.org/10.1091/mbc.e15-03-0184.

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Endoplasmic reticulum–synthesized membrane proteins traffic through the nuclear pore complex (NPC) en route to the inner nuclear membrane (INM). Although many membrane proteins pass the NPC by simple diffusion, two yeast proteins, ScSrc1/ScHeh1 and ScHeh2, are actively imported. In these proteins, a nuclear localization signal (NLS) and an intrinsically disordered linker encode the sorting signal for recruiting the transport factors for FG-Nup and RanGTP-dependent transport through the NPC. Here we address whether a similar import mechanism applies in metazoans. We show that the (putative) NLSs of metazoan HsSun2, MmLem2, HsLBR, and HsLap2β are not sufficient to drive nuclear accumulation of a membrane protein in yeast, but the NLS from RnPom121 is. This NLS of Pom121 adapts a similar fold as the NLS of Heh2 when transport factor bound and rescues the subcellular localization and synthetic sickness of Heh2ΔNLS mutants. Consistent with the conservation of these NLSs, the NLS and linker of Heh2 support INM localization in HEK293T cells. The conserved features of the NLSs of ScHeh1, ScHeh2, and RnPom121 and the effective sorting of Heh2-derived reporters in human cells suggest that active import is conserved but confined to a small subset of INM proteins.

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Szakács, Zoltán, Ágnes Ádám, János Kristóf Annus, Dalma Csatlós, Andrea László, László Kalabay, and Péter Torzsa. "A Magyar Alvásdiagnosztikai és Terápiás Társaság módszertani ajánlása a közúti járművezetők egészségi alkalmasságának vizsgálatához az obstruktív alvási apnoe szindróma vonatkozásában." Orvosi Hetilap 157, no. 23 (June 2016): 892–900. http://dx.doi.org/10.1556/650.2016.30451.

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Obstructive sleep apnea is the most frequent sleep-disordered breathing. The prevalence of sleep apnea in the general population is 2–4% and the main characteristics of the disease are the intermittent cessation or substantial reduction of airflow during sleep, which is caused by complete, or near complete upper airway obstruction. Decreased airflow is followed by oxygen desaturation and intermittent arousals. Untreated patients are 4–6 times more likely to cause traffic accidents than their healthy counterparts. The aims of the obstructive sleep apnea screening are to prevent and reduce the incidence of serious car accidents, which are often caused by one of the most dangerous sleep disorders. Since April 1, 2015 a modification of the 13/1992 regulation has been in force in Hungary which orders screening of obstructive sleep apnea during medical checkup of drivers. The Hungarian Society for Sleep Medicine made a guideline according to the regulation which was adapted to national circumstances and family doctors, occupational health specialists can more easily screen obstructive sleep apnea in suspected patients. In sleep ambulances the disease can be diagnosed and effective treatment can be started. Patients receiving appropriate treatment and with appropriate compliance can get their driving licence under regular care and control. Orv. Hetil., 2016, 157(23), 892–900.

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Yuan, Feng, Haleh Alimohamadi, Brandon Bakka, Andrea N. Trementozzi, Kasey J. Day, Nicolas L. Fawzi, Padmini Rangamani, and Jeanne C. Stachowiak. "Membrane bending by protein phase separation." Proceedings of the National Academy of Sciences 118, no. 11 (March 9, 2021): e2017435118. http://dx.doi.org/10.1073/pnas.2017435118.

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Membrane bending is a ubiquitous cellular process that is required for membrane traffic, cell motility, organelle biogenesis, and cell division. Proteins that bind to membranes using specific structural features, such as wedge-like amphipathic helices and crescent-shaped scaffolds, are thought to be the primary drivers of membrane bending. However, many membrane-binding proteins have substantial regions of intrinsic disorder which lack a stable three-dimensional structure. Interestingly, many of these disordered domains have recently been found to form networks stabilized by weak, multivalent contacts, leading to assembly of protein liquid phases on membrane surfaces. Here we ask how membrane-associated protein liquids impact membrane curvature. We find that protein phase separation on the surfaces of synthetic and cell-derived membrane vesicles creates a substantial compressive stress in the plane of the membrane. This stress drives the membrane to bend inward, creating protein-lined membrane tubules. A simple mechanical model of this process accurately predicts the experimentally measured relationship between the rigidity of the membrane and the diameter of the membrane tubules. Discovery of this mechanism, which may be relevant to a broad range of cellular protrusions, illustrates that membrane remodeling is not exclusive to structured scaffolds but can also be driven by the rapidly emerging class of liquid-like protein networks that assemble at membranes.

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Tang, Ling, Yang Li, Cheng Zhong, Xin Deng, and Xiaohua Wang. "Plant Sterol Clustering Correlates with Membrane Microdomains as Revealed by Optical and Computational Microscopy." Membranes 11, no. 10 (September 29, 2021): 747. http://dx.doi.org/10.3390/membranes11100747.

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Local inhomogeneities in lipid composition play a crucial role in the regulation of signal transduction and membrane traffic. This is particularly the case for plant plasma membrane, which is enriched in specific lipids, such as free and conjugated forms of phytosterols and typical phytosphingolipids. Nevertheless, most evidence for microdomains in cells remains indirect, and the nature of membrane inhomogeneities has been difficult to characterize. We used a new push–pull pyrene probe and fluorescence lifetime imaging microscopy (FLIM) combined with all-atom multiscale molecular dynamics simulations to provide a detailed view on the interaction between phospholipids and phytosterol and the effect of modulating cellular phytosterols on membrane-associated microdomains and phase separation formation. Our understanding of the organization principles of biomembranes is limited mainly by the challenge to measure distributions and interactions of lipids and proteins within the complex environment of living cells. Comparing phospholipids/phytosterol compositions typical of liquid-disordered (Ld) and liquid-ordered (Lo) domains, we furthermore show that phytosterols play crucial roles in membrane homeostasis. The simulation work highlights how state-of-the-art modeling alleviates some of the prior concerns and how unrefuted discoveries can be made through a computational microscope. Altogether, our results support the role of phytosterols in the lateral structuring of the PM of plant cells and suggest that they are key compounds for the formation of plant PM microdomains and the lipid-ordered phase.

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Garner, Kathryn, Michelle Li, Natalie Ugwuanya, and Shamshad Cockcroft. "The phosphatidylinositol transfer protein RdgBβ binds 14-3-3 via its unstructured C-terminus, whereas its lipid-binding domain interacts with the integral membrane protein ATRAP (angiotensin II type I receptor-associated protein)." Biochemical Journal 439, no. 1 (September 14, 2011): 97–111. http://dx.doi.org/10.1042/bj20110649.

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PITPs [PI (phosphatidylinositol) transfer proteins] bind and transfer PI between intracellular membranes and participate in many cellular processes including signalling, lipid metabolism and membrane traffic. The largely uncharacterized PITP RdgBβ (PITPNC1; retinal degeneration type B β), contains a long C-terminal disordered region following its defining N-terminal PITP domain. In the present study we report that the C-terminus contains two tandem phosphorylated binding sites (Ser274 and Ser299) for 14-3-3. The C-terminus also contains PEST sequences which are shielded by 14-3-3 binding. Like many proteins containing PEST sequences, the levels of RdgBβ are regulated by proteolysis. RdgBβ is degraded with a half-life of 4 h following ubiquitination via the proteasome. A mutant RdgBβ which is unable to bind 14-3-3 is degraded even faster with a half-life of 2 h. In vitro, RdgBβ is 100-fold less active than PITPα for PI transfer, and RdgBβ proteins (wild-type and a mutant that cannot bind 14-3-3) expressed in COS-7 cells or endogenous proteins from heart cytosol do not exhibit transfer activity. When cells are treated with PMA, the PITP domain of RdgBβ interacts with the integral membrane protein ATRAP (angiotensin II type I receptor-associated protein; also known as AGTRAP) causing membrane recruitment. We suggest that RdgBβ executes its function following recruitment to membranes via its PITP domain and the C-terminal end of the protein could regulate entry to the hydrophobic cavity.

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Gorassini, M., A. Prochazka, and J. L. Taylor. "Cerebellar ataxia and muscle spindle sensitivity." Journal of Neurophysiology 70, no. 5 (November 1, 1993): 1853–62. http://dx.doi.org/10.1152/jn.1993.70.5.1853.

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1. The cerebellum has long been known to participate in movement control. One of the enduring theories of cerebellar function is that it "tunes" and coordinates sensorimotor traffic in other parts of the CNS. In particular, it has been implicated in the control of the sensitivity of muscle spindle stretch receptors through the fusimotor system. 2. The stretch sensitivity of spindle primary endings can be varied approximately over a 10-fold range by fusimotor efferent action. For many years it has been believed that cerebellar dysfunction is associated with reduced drive to the fusimotor system and that this in turn causes hypotonia by reducing the reflex excitation of alpha-motoneurons by spindle afferents. 3. The data on which this hypothesis is based were obtained in anesthetized or decerebrate animals. Little direct information is available on animals or humans performing voluntary movements and exhibiting ataxia or other cerebellar symptoms. 4. We tested the hypothesis by recording from nine muscle spindle afferents in behaving cats before and during reversible inactivation of cerebellar interpositus and dentate nuclei. In normal cats fusimotor action varies with motor task, greatly altering spindle stretch sensitivity. We investigated whether this same range of task-related sensitivity manifested itself during ataxia. 5. We found that the full range of spindle sensitivity was still present during ataxia. We therefore conclude that the cerebellar nuclei studied are not primarily responsible for fusimotor control, nor is the ataxia primarily caused by disordered proprioceptive sensitivity.

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Zhang, Yuxue, Haoyu Wen, Ming Zhao, and Zhaojun Yang. "How Does Bilateral Preference Affect Shared Parking in Sharing Economy?" Mathematical Problems in Engineering 2020 (July 28, 2020): 1–13. http://dx.doi.org/10.1155/2020/1904790.

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Sharing economy is seen as an essential building block for sustainability. Yet, inefficient utilizing of parking spaces needs more attention, by which both direct and indirect traffic congestions may be caused, jeopardizing the economic potential of sustainable development. Conventional parking service may gradually lose favour in analogy to its counterpart, of which a novel approach solving shortage of urban parking resources is offered by shared parking. Hence, in this paper, problems of how to redistribute the available private-owned parking slots that be shared are focused due to the parking slot location properties that can be labelled as random, disordered, unstable, widely distributed, etc. Specifically, shared parking greatly enhances reasonability by considering satisfaction. Based on the mechanism of time matching between supply and demand, this paper thoroughly takes the bilateral preference of both parking demanders and parking space suppliers into account in terms of maximization of the utilization rate of shared parking spaces as well as the satisfaction of parking demanders, in which a multiobjective optimization model is established and the weighted sum method combined with the Hungarian method is adopted. Compared with the first-come-first-served (FCFS) strategy, the performance of the proposed method enjoys more advantages in utilizing shared parking spaces and in satisfying parking demanders. The model established and algorithm conducted in this paper meet the requirements induced by parking space redistribution in which inequalities exist between supply and demand, facilitating automobile parking and realizing higher efficiencies in using public resources regarding shortage of parking spaces in urban areas.

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Zhang, Jing. "Intelligent Layout of Music and Cultural Facilities Based on Heterogeneous Cellular Network." Mobile Information Systems 2022 (July 19, 2022): 1–8. http://dx.doi.org/10.1155/2022/2049905.

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With the emergence and development of computer technology, the computing power of computer is also constantly improving and has driven the development of other fields. As an important way to improve the computing power, availability, and reliability of computer system, parallel computing is the hot spot and trend of the development of computer technology. This paper introduces the technical background and basic knowledge of parallel computing. Aiming at the problem of scheduling independent tasks and scheduling related tasks, this paper proposes a method of transforming independent tasks into related tasks and unifies the model. With the progress of mobile Internet technology, the rapid growth of mobile terminals and data traffic has spawned a large number of computing intensive and delay sensitive applications. In 5G heterogeneous cellular networks, users may become computationally demanding and delay sensitive. MEC server can solve the problem of its own computing power and battery capacity limitation. Music and cultural institutions provide City Music and cultural products. With the rapid development of modern cities, unbalanced, disordered, and large-scale music and cultural institutions cannot meet the needs of urban residents for music and culture in essence. From the perspective of urban music and cultural institutions, combined with the characteristics of music and cultural intelligence, this paper analyzes the fairness, accessibility, and attraction of the institutions through field research and GIS technology and analyzes the music. From the perspective of facility layout, it analyzes the problems and pain points of music and cultural intelligence layout, such as disorder, imbalance, and failure. In this paper, we use parallel computing technology to optimize intelligent placement of music and cultural facilities, to provide technical basis for related research.

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Maia, Cláudio Belmino, Paulo Alexandre Fernandes Rodrigues de Melo, Robert Weingart Barreto, Luiz Antônio Maffia, O. correto é. Kedma Maria Silva Pinto, Ilka Márcia Ribeiro de Souza Serra, Antonia Alice Costa Rodrigues, Mário Luiz Ribeiro Mesquita, Aline Priscilla Gomes da Silva, and Janaina Marques Mondego. "Potential of Colletotrichum typhae H.C Greene mycoherbicide for bio-control of Southern cattail (Typha domingensis Pers.) plants." February 2020, no. 14(02):2020 (February 20, 2020): 278–85. http://dx.doi.org/10.21475/ajcs.20.14.02.p2170.

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The anthropic interference in aquatic ecosystems favors the disordered colonization of T. domingensis, damaging the production of hydroelectric power and river traffic. Because of this, studies report the efficacy of fungal mycoherbicides, with control rates reaching as high as 90%. Thus, the objective of this study was to evaluate the potential of C. typhae as a mycoherbicide in bio control of T. domingensis, at in vitro and greenhouse conditions. 107 samples of symptomatic T. domingensis leaves were collected in flooded areas of rivers in Brazil, with identification and isolation of the collected fungal species. The concentration of inoculum was determined to evaluate the incidence and severity of the disease, the influence of temperature on mycelial growth and conidia germination, the effect of temperature and leaf wetness period on T. domingensis infection by C. typhae and the host range test in vitro. The growth of the colonies of C. typhae was higher at 25 to 30 ºC. There was no interference of the photoperiod on germination of the spores, but the highest percentage of germination was occurred at 20 ºC. The influence of environmental conditions on infection of inoculated leaves of T. dominguensis revealed that at 15 ºC and the period of leaf wetness of 48 hours the highest incidence of the disease was observed, as well as the severity for the same period of leaf wetness. The specificity test showed that C. typhae is specifically pathogenic to T. domingensis. This the first report of the occurrence of this pathogen in aquatic macrophytes of this species and in T. domingensis, a potential mycoherbicide for the control of this aquatic weed.

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Ji, Wei, Chengpeng Lu, Jinhuang Mao, Yiping Liu, Muchen Hou, and Xiaoli Pan. "Public’s Intention and Influencing Factors of Dockless Bike-Sharing in Central Urban Areas: A Case Study of Lanzhou City, China." Sustainability 13, no. 16 (August 18, 2021): 9265. http://dx.doi.org/10.3390/su13169265.

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Taking the main district in Lanzhou city of China as an example, the questionnaires were designed and distributed, and then the effects of five factors, i.e., behavioral attitude, subjective norm, perceived behavioral control, perceived ease of use and perceived usefulness, on the behavioral intention of dockless bike-sharing (DBS) use were empirically analyzed based on the integrated model of technology acceptance model (TAM) and the theory of planned behavior (TPB) as well as the structural equation model. Results show that the five factors all impose significantly positive effects on the public’s behavioral intention of DBS use but differ in influencing degrees. Behavioral attitude, subjective norm and perceived behavioral control can all directly affect the public’s behavioral intention of DBS use, with direct influence coefficients of 0.691, 0.257 and 0.198, while perceived ease of use and perceived usefulness impose indirectly effects on behavioral intention, with indirect influence coefficients of 0.372 and 0.396. Overall, behavioral attitude imposes the most significant effect, followed by perceived ease of use, perceived usefulness and subjective norm, and finally perceived behavioral control. This indicates that the public’s behavioral intention of DBS use depends heavily on their behavioral attitude towards the shared bikes. In view of the limited open space of the main district in Lanzhou, the explosive growth of shared bikes, oversaturated arrangements, disordered competition, unclear and unscientific divisions of parking regions, and hindrance of traffic, this study proposes a lot of policy suggestions from the research results. A series of supporting service systems related to DBS should be formulated. The shared bikes with different characteristics should be launched for different age groups, gender groups and work groups. The corresponding feedback platform for realtime acquisition, organization, analysis and solution of data information, as well as the adequate platform feedback mechanism, should be established.

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Chakroborty, Partha, Akhilesh K. Maurya, and Durgesh Vikram. "Understanding and Modelling Disorderly Traffic Streams." Journal of the Indian Institute of Science 99, no. 4 (November 27, 2019): 553–65. http://dx.doi.org/10.1007/s41745-019-00135-7.

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Journal articles on the topic 'Disordered traffic'

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