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Fangrong Chang

Showing results (1-10 of 15) with videos related to

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Accident; Analysis and Prevention|March 2, 2023
The road safety and risky behavior analysis of delivery vehicle drivers in ChinaYi He, Changxin Sun, Fangrong Chang
Accident; Analysis and Prevention|January 18, 2025
Exploring the impact of built environment on traffic risk perception of school-aged children: A case study of old residential neighborhoods in Changsha City, Hunan Province, ChinaFan Yang, Jiale Li, Chengzhi Zhang, 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 intersectionsGongquan Zhang, Fangrong Chang, Jieling Jin, et al.
Accident; Analysis and Prevention|September 14, 2019
Incorporating spatial effects into temporal dynamic of road traffic fatality risks: A case study on 48 lower states of the United States, 1975-2015Hanchu Zhou, Helai Huang, Pengpeng Xu, et al.
Accident; Analysis and Prevention|September 18, 2025
Two-step deep reinforcement learning for traffic signal control to improve pedestrian safety using connected vehicle dataA Dian Ren, B Gongquan Zhang, C Fangrong Chang, et al.
Accident; Analysis and Prevention|December 20, 2024
Cooperative control of self-learning traffic signal and connected automated vehicles for safety and efficiency optimization at intersectionsGongquan Zhang, Fengze Li, Dian Ren, et al.
Accident; Analysis and Prevention|July 11, 2026
Enhancing semantic and risk controllability in safety-critical scenario generation: An LLM-guided conditional diffusion methodHanchu Zhou, Yaqi Li, Chengcheng Wang, et al.
Accident; Analysis and Prevention|July 29, 2019
Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit modelFangrong Chang, Pengpeng Xu, Hanchu Zhou, et al.
International Journal of Environmental Research and Public Health|July 19, 2016
Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit ApproachFangrong Chang, Maosheng Li, Pengpeng Xu, et al.
Accident; Analysis and Prevention|November 5, 2024
Pedestrians' Interaction with eHMI-equipped Autonomous Vehicles: A Bibliometric Analysis and Systematic ReviewSiu Shing Man, Chuyu Huang, Qing Ye, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Accident; Analysis and Prevention|March 2, 2023
The road safety and risky behavior analysis of delivery vehicle drivers in ChinaYi He, Changxin Sun, Fangrong Chang
Accident; Analysis and Prevention|January 18, 2025
Exploring the impact of built environment on traffic risk perception of school-aged children: A case study of old residential neighborhoods in Changsha City, Hunan Province, ChinaFan Yang, Jiale Li, Chengzhi Zhang, 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 intersectionsGongquan Zhang, Fangrong Chang, Jieling Jin, et al.
Accident; Analysis and Prevention|September 14, 2019
Incorporating spatial effects into temporal dynamic of road traffic fatality risks: A case study on 48 lower states of the United States, 1975-2015Hanchu Zhou, Helai Huang, Pengpeng Xu, et al.
Accident; Analysis and Prevention|September 18, 2025
Two-step deep reinforcement learning for traffic signal control to improve pedestrian safety using connected vehicle dataA Dian Ren, B Gongquan Zhang, C Fangrong Chang, et al.
Accident; Analysis and Prevention|December 20, 2024
Cooperative control of self-learning traffic signal and connected automated vehicles for safety and efficiency optimization at intersectionsGongquan Zhang, Fengze Li, Dian Ren, et al.
Accident; Analysis and Prevention|July 11, 2026
Enhancing semantic and risk controllability in safety-critical scenario generation: An LLM-guided conditional diffusion methodHanchu Zhou, Yaqi Li, Chengcheng Wang, et al.
Accident; Analysis and Prevention|July 29, 2019
Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit modelFangrong Chang, Pengpeng Xu, Hanchu Zhou, et al.
International Journal of Environmental Research and Public Health|July 19, 2016
Injury Severity of Motorcycle Riders Involved in Traffic Crashes in Hunan, China: A Mixed Ordered Logit ApproachFangrong Chang, Maosheng Li, Pengpeng Xu, et al.
Accident; Analysis and Prevention|November 5, 2024
Pedestrians' Interaction with eHMI-equipped Autonomous Vehicles: A Bibliometric Analysis and Systematic ReviewSiu Shing Man, Chuyu Huang, Qing Ye, et al.
Pageof 2