Purpose Efficient traffic incident management is needed to alleviate the negative impact of incidents. Accurate and reliable estimation duration great importance for management. Previous studies have proposed models prediction; however, most these focus on total could not update prediction results in real-time. From a traveler’s perspective, relevant factor residual incident. Besides, few (if any) used dynamic flow parameters models. This paper aims propose framework fill gaps....

This paper presented a real-time millimeter wave radar-based system for tracking vehicle trajectories in wide area (continuously along roadway with essentially no length limit practice). The trajectory results were first validated single using the Real-Time Kinematic positioning technology based on Beidou satellite navigation systems. validation showed that positions captured mean lateral offset of −0.284 m and longitudinal −0.352 m. estimated speeds found to have difference only −0.048 km/h...

Traditional surrogate measures of safety (SMoS) cannot fully consider the crash mechanism or fail to reflect probability and severity at same time. In addition, driving risks are constantly changing with driver’s personal characteristics environmental factors. Considering heterogeneity drivers, study impact behavioral on rear-end risk is essential ensure safety. this study, 16,905 car-following events were identified extracted from Shanghai Naturalistic Driving Study (SH-NDS). A new SMoS,...

The cut-ins (one kind of lane-changing behaviors) have result in severe safety issues, especially at the entrances and exits urban expressways. Risk prediction characteristics analysis are part essential research for advanced in-vehicle technologies which can reduce crash occurrences. This paper makes some efforts on these purposes. In this paper, twenty-four participants were recruited to conduct experiments multi-driver simulation risky driving data collection. surrogate measures, Time...

In the cut-in scenario, drivers are forced to experience a smaller headway distance, which may easily lead rear-end crashes and reduced road traffic efficiency. Quantitatively evaluating risks considering heterogeneity of driving maneuvers explore influencing factors using microscopic behavior data still limited. this study, risk index (CIRI) was proposed evaluate based on fault tree analysis (FTA). To consider maneuvers, random parameter ordered probit (RPOP) model employed recognize key...

With the rapid development of information and communication technology, future intelligent transportation systems will exhibit a trend cooperative driving connected vehicles. Platooning is an important application technique for driving. Herein, optimized car-following models platoon control based on intervehicle technology are proposed. On basis existing indicators, series evaluation methods safety, stability, energy consumption constructed. Numerical simulations used to compare effects...

Transportation engineers face challenging safety investment decisions, particularly for highway-railway grade crossings (HRGCs), where rare collision occurrences and incomplete historical records complicate the assessment of countermeasure cost-effectiveness. This study introduces an empirical Bayes (EB) observational before–after approach to address these challenges, specifically examining impact a widely used countermeasure: flashing lights, bells, gates (FLBG). The research covers total...

The aim of this study was to investigate the change driver's car following behavior under foggy conditions with different road alignments. Based on 8degree-of-freedom high-fidelity driving simulator Tongji University, constructed four experimental scenarios, which were clear weather, 100m-visibility, 60m-visibility, and 40m-visibility. In each scenario, alignments (straight line segment(SL), curve segment(CS), sloped straight segment(SS) segment(SC)) carried make a contrast. Twenty-eight...

Driven by the vision of eliminating road fatalities, Vision Zero initiatives have been widely adopted many cities around world, with significant investment resources in various safety countermeasures. However, there is still a lack reliable quantitative evidence on effectiveness those countermeasures traffic conflict frequency at intersections. This research attempts to address this challenge combination case-control and cross-sectional studies, aiming quantifying effects three commonly...

Vehicles often move forward in groups on the highways, especially when speed and density are high simultaneously. Abnormal maneuvers of a vehicle group influence multiple vehicles surrounding it, potentially leading to traffic accidents. We propose an approach identify analyse factors influencing their evolutions using trajectory data. The proposed quantifies interactions between neighboring based potential energy field, represents interactive relationships among multi-vehicle interaction...