Enhanced index of risk assessment of lane change on expressway weaving segments: A case study of an expressway in China

Zhang, Jinbao; Lee, Jae-Young; Abdel-Aty, Mohamed; Zheng, Ou; Xiao, Guiming

doi:10.1016/j.aap.2022.106909

Accident Analysis & Prevention

2023

DOI: 10.1016/j.aap.2022.106909

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Enhanced index of risk assessment of lane change on expressway weaving segments: A case study of an expressway in China

Jinbao Zhang

Jae-Young Lee

Mohamed Abdel-Aty

et al.

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Cited by 16 publications

(1 citation statement)

References 32 publications

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“…It was designed with the following novel features: CitySim has been supporting the many research efforts of its development team, the University of Central Florida Smart and Safe Transportation (UCF-SST) Lab. Examples include crash risk evaluations (33,34), trajectory predictions (35), and computer-vision-based surrogate safety measurement (35,36). Moreover, since the release of its beta version in April 2022, CitySim has been attracting attention from researchers and institutions worldwide.…”

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CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety-Oriented Research and Digital Twins

Zheng

Abdel-Aty

Yue

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The development of safety-oriented research and applications requires fine-grain vehicle trajectories that not only have high accuracy, but also capture substantial safety-critical events. However, it would be challenging to satisfy both these requirements using the available vehicle trajectory datasets do not have the capacity to satisfy both. This paper introduces the CitySim dataset that has the core objective of facilitating safety-oriented research and applications. CitySim has vehicle trajectories extracted from 1,140-min of drone videos recorded at 12 locations. It covers a variety of road geometries including freeway basic segments, weaving segments, expressway merge/diverge segments, signalized intersections, stop-controlled intersections, and control-free intersections. CitySim was generated through a five-step procedure that ensured trajectory accuracy. The five-step procedure included video stabilization, object filtering, multivideo stitching, object detection and tracking, and enhanced error filtering. Furthermore, CitySim provides the rotated bounding box information of a vehicle, which was demonstrated to improve safety evaluations. Compared with other video-based trajectory datasets, CitySim had significantly more safety-critical events, including cut-in, merge, and diverge events, which were validated by distributions of both minimum time-to-collision and minimum post encroachment time. In addition, CitySim had the capability to facilitate digital-twin-related research by providing relevant assets, such as the recording locations’ three-dimensional base maps and signal timings.

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confidence: 99%

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety-Oriented Research and Digital Twins

Zheng

Abdel-Aty

Yue

et al. 2023

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

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Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment

Liu

et al. 2023

Accident Analysis & Prevention

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How would autonomous vehicles behave in real-world crash scenarios?

Zhou,

Zhang,

Huang

et al. 2024

Accident Analysis & Prevention

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Enhanced index of risk assessment of lane change on expressway weaving segments: A case study of an expressway in China

Cited by 16 publications

References 32 publications

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety-Oriented Research and Digital Twins

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety-Oriented Research and Digital Twins

Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment

How would autonomous vehicles behave in real-world crash scenarios?

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