Modeling risk potential fields for mandatory lane changes in intelligent connected vehicle environment

Towards vehicle automation: Roadway capacity formulation for traffic mixed with regular and automated vehicles

Danjue Chen, Soyoung Ahn, Madhav Chitturi et al. · Transportation Research Part B Methodological · 2017 · 350 citations

Engineering, Automotive Engineering, Autonomous Vehicles +15

Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling

Linheng Li, Jing Gan, Xinkai Ji et al. · IEEE Transactions on Intelligent Transportation Systems · 2020 · 210 citations

Engineering, Automotive Engineering, Autonomous Systems +14

A safety assessment of mixed fleets with Connected and Autonomous Vehicles using the Surrogate Safety Assessment Module

Navreet Virdi, Hanna Grzybowska, S. Travis Waller et al. · Accident Analysis & Prevention · 2019 · 205 citations

Engineering, Autonomous Systems, Systems Engineering +15

Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area

Xiangwang Hu, Jian Sun · Transportation Research Part C Emerging Technologies · 2019 · 198 citations

Computing, Automotive Engineering, Autonomous Systems +13

Utilizing UAV video data for in-depth analysis of drivers’ crash risk at interchange merging areas

Xin Gu, Mohamed Abdel‐Aty, Qiaojun Xiang et al. · Accident Analysis & Prevention · 2018 · 192 citations

Engineering, Aerospace Engineering, Computer Vision +10