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Traffic Injury Prevention
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January 12, 2023
Exploring influences on the intention of motorcyclists to drink and ride: An investigation in a fourth-tier city of China
Yuanchang Deng, Chenjun Shi, Jieling Jin
Accident; Analysis and Prevention
|
June 25, 2024
Exploring master scenarios for autonomous driving tests from police-reported historical crash data using an adaptive search sampling framework
Ye Li, Zhanhao Yang, Jieling Jin, et al.
Accident; Analysis and Prevention
|
October 10, 2025
Zone-specific real-time traffic conflict risk modeling for freeway tunnels: a CrossTabNet approach
Jieling Jin, Jipu Li, Shan Tian, et al.
Ergonomics
|
August 7, 2024
Exploring driving behavioral characteristics in pre-, in-, and post-conflict stages based on car-following trajectory data
Dan Wu, Jaeyoung Jay Lee, Ye Li, et al.
Traffic Injury Prevention
|
February 12, 2024
Analysis of dynamic determinants of vehicles involved in crash affecting severity based on in-depth crash data
Jieling Jin, Helai Huang, Rui Zhou, et al.
Accident; Analysis and Prevention
|
February 17, 2024
Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections
Gongquan Zhang, Fangrong Chang, Jieling Jin, et al.
Accident; Analysis and Prevention
|
April 17, 2026
A comprehensive analysis of contributing factors in bus crashes: integrating passenger injury severity and vehicle damage severity using the Frank copula model
Yuxuan Dong, Helai Huang, Jinchao Wang, et al.
Accident; Analysis and Prevention
|
April 13, 2024
A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception
Jieling Jin, Ye Li, Helai Huang, et al.
Traffic Injury Prevention
|
May 8, 2026
Spatiotemporal analysis of urban traffic crash risk using a bagging-optimized dynamic mode decomposition framework
Xuguang Ma, Yijun Zhang, Ninghao Hou, et al.
Accident; Analysis and Prevention
|
April 24, 2024
How would autonomous vehicles behave in real-world crash scenarios?
Rui Zhou, Guoqing Zhang, Helai Huang, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Traffic Injury Prevention
|
January 12, 2023
Exploring influences on the intention of motorcyclists to drink and ride: An investigation in a fourth-tier city of China
Yuanchang Deng, Chenjun Shi, Jieling Jin
Accident; Analysis and Prevention
|
June 25, 2024
Exploring master scenarios for autonomous driving tests from police-reported historical crash data using an adaptive search sampling framework
Ye Li, Zhanhao Yang, Jieling Jin, et al.
Accident; Analysis and Prevention
|
October 10, 2025
Zone-specific real-time traffic conflict risk modeling for freeway tunnels: a CrossTabNet approach
Jieling Jin, Jipu Li, Shan Tian, et al.
Ergonomics
|
August 7, 2024
Exploring driving behavioral characteristics in pre-, in-, and post-conflict stages based on car-following trajectory data
Dan Wu, Jaeyoung Jay Lee, Ye Li, et al.
Traffic Injury Prevention
|
February 12, 2024
Analysis of dynamic determinants of vehicles involved in crash affecting severity based on in-depth crash data
Jieling Jin, Helai Huang, Rui Zhou, et al.
Accident; Analysis and Prevention
|
February 17, 2024
Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections
Gongquan Zhang, Fangrong Chang, Jieling Jin, et al.
Accident; Analysis and Prevention
|
April 17, 2026
A comprehensive analysis of contributing factors in bus crashes: integrating passenger injury severity and vehicle damage severity using the Frank copula model
Yuxuan Dong, Helai Huang, Jinchao Wang, et al.
Accident; Analysis and Prevention
|
April 13, 2024
A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception
Jieling Jin, Ye Li, Helai Huang, et al.
Traffic Injury Prevention
|
May 8, 2026
Spatiotemporal analysis of urban traffic crash risk using a bagging-optimized dynamic mode decomposition framework
Xuguang Ma, Yijun Zhang, Ninghao Hou, et al.
Accident; Analysis and Prevention
|
April 24, 2024
How would autonomous vehicles behave in real-world crash scenarios?
Rui Zhou, Guoqing Zhang, Helai Huang, et al.
Page
of 1