A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
Abstract Surrogate Safety Measures (SSM) are important for safety performance evaluation,
since crashes are rare events and historical crash data does not capture near crashes that …
since crashes are rare events and historical crash data does not capture near crashes that …
Traffic conflict prediction using connected vehicle data
Z Islam, M Abdel-Aty - Analytic methods in accident research, 2023 - Elsevier
Transportation safety studies have been mostly focused on using crash data that are rare
events. Alternatively, conflict estimation can be used to assess safety. This has been proven …
events. Alternatively, conflict estimation can be used to assess safety. This has been proven …
Calibration and evaluation of the Responsibility-Sensitive Safety model of autonomous car-following maneuvers using naturalistic driving study data
X Xu, X Wang, X Wu, O Hassanin, C Chai - Transportation research part C …, 2021 - Elsevier
Safety guarantees are vital to the dependability of the automated vehicle (AV), so are of
primary concern to the AV industry and regulatory bodies. Responsibility-Sensitive Safety …
primary concern to the AV industry and regulatory bodies. Responsibility-Sensitive Safety …
Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes
Introduction This study aimed to investigate the characteristics and patterns of the connected
and autonomous vehicle (CAV) involved crashes. Method: The crash data were collected …
and autonomous vehicle (CAV) involved crashes. Method: The crash data were collected …
Modeling accident risks in different lane-changing behavioral patterns
Lane-changing is a complicated task and has a high probability of accident occurrence.
Although a large body of literature has used vehicle trajectories to microscopically …
Although a large body of literature has used vehicle trajectories to microscopically …
Analysis of the transition condition of rear-end collisions using time-to-collision index and vehicle trajectory data
Abstract Time-to-collision (TTC) index has been extensively utilized to evaluate rear-end
collision risks, but few studies have focused on the special transition process that vehicles …
collision risks, but few studies have focused on the special transition process that vehicles …
Analysis of injury severity in rear-end crashes on an expressway involving different types of vehicles using random-parameters logit models with heterogeneity in …
To examine the difference in contributing factors of rear-end crashes of different injury
severity involving different types of vehicles, this paper proposed random-parameters …
severity involving different types of vehicles, this paper proposed random-parameters …
Safe, efficient, and comfortable autonomous driving based on cooperative vehicle infrastructure system
J Chen, C Zhao, S Jiang, X Zhang, Z Li… - International journal of …, 2023 - mdpi.com
Traffic crashes, heavy congestion, and discomfort often occur on rough pavements due to
human drivers' imperfect decision-making for vehicle control. Autonomous vehicles (AVs) …
human drivers' imperfect decision-making for vehicle control. Autonomous vehicles (AVs) …
Examining traffic conflicts of up stream toll plaza area using vehicles' trajectory data
Despite the recognized benefits of electronic toll collection (ETC) system as an important
part of toll plaza area, the mixed traffic of electronic toll collection (ETC) vehicles and manual …
part of toll plaza area, the mixed traffic of electronic toll collection (ETC) vehicles and manual …