Road safety under the environment of intelligent connected vehicles

被引:16
作者
Lee, Jaeyoung [1 ,2 ]
Huang, Helai [1 ]
Wang, Jianqiang [3 ]
Quddus, Mohammed [4 ]
机构
[1] Cent South Univ, Sch Traff & Transportat Engn, Changsha, Hunan, Peoples R China
[2] Univ Cent Florida, Dept Civil, Environm & Construction Engn, Orlando, FL 32816 USA
[3] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing, Peoples R China
[4] Imperial Coll London, Ctr Transport Studies, Dept Civil & Environm Engn, London, England
关键词
Accident prevention - Motor transportation - Risk perception - Roads and streets - Safety testing;
D O I
10.1016/j.aap.2022.106645
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
The emergence of Intelligent Connected Vehicles (ICVs) is expected to drastically change various fields in the transportation system-especially traffic safety of road users. Therefore, this special issue aims to facilitate a forum for transportation researchers fostering an exchange of research ideas and experience in traffic safety with a specific focus on operations, planning and management of ICVs. The issue contains thirty-six papers from seven different countries. Topics are classified into seven categories: (1) Driving behavior in the ICV environment; (2) Safety evaluation of ICVs; (3) ICV driving/management strategies; (4) New framework for ICV safety analysis; (5) ICV safety for vulnerable road users; (6) Perception towards ICVs; and (7) Security issues relating to ICVs. The papers are concisely introduced in this editorial. All the papers were invited to present at the International Symposium on Accident Analysis & Prevention in 2021 (ISAAP 2021) and the symposium was successfully held. The research conducted in these articles reveal challenges and future directions in the area of ICVs that include further developing novel methodologies and algorithms for collision-free trajectories of ICVs, testing diverse scenarios in complex environments with mixed traffic, and addressing inherent safety risks of specific vulnerable road users (e.g., older road users, bicyclists, riders of micro-mobility vehicles).
引用
收藏
页数:5
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共 38 条
[1]   Safety and operational impact of connected vehicles' lane configuration on freeway facilities with managed lanes [J].
Abdel-Aty, Mohamed ;
Wu, Yina ;
Saad, Moatz ;
Rahman, Md Sharikur .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 144
[2]   The impact of the connected environment on driving behavior and safety: A driving simulator study [J].
Ali, Yasir ;
Sharma, Anshuman ;
Haque, Md Mazharul ;
Zheng, Zuduo ;
Saifuzzaman, Mohammad .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 144
[3]   An examination of teen drivers' car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system [J].
Bao, Shan ;
Wu, Ling ;
Yu, Bo ;
Sayer, James R. .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 147
[4]   Safety effectiveness and performance of lane support systems for driving assistance and automation - Experimental test and logistic regression for rare events [J].
Cafiso, Salvatore ;
Pappalardo, Giuseppina .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 148
[5]   Evaluation of augmented reality cues to improve the safety of left-turn maneuvers in a connected environment: A driving simulator study [J].
Calvi, Alessandro ;
D'Amico, Fabrizio ;
Ferrante, Chiara ;
Ciampoli, Luca Bianchini .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 148
[6]   The development and validation of the perceived safety of intelligent connected vehicles scale [J].
Cao, Jianqin ;
Lin, Li ;
Zhang, Jingyu ;
Zhang, Liang ;
Wang, Ya ;
Wang, Jifang .
ACCIDENT ANALYSIS AND PREVENTION, 2021, 154
[7]   Predicting driver takeover performance in conditionally automated driving [J].
Du, Na ;
Zhou, Feng ;
Pulver, Elizabeth M. ;
Tilbury, Dawn M. ;
Robert, Lionel P. ;
Pradhan, Anuj K. ;
Yang, X. Jessie .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 148
[8]   Self-learning adaptive traffic signal control for real-time safety optimization [J].
Essa, Mohamed ;
Sayed, Tarek .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 146
[9]   Safety assessment of highly automated driving systems in test tracks: A new framework [J].
Feng, Shuo ;
Feng, Yiheng ;
Yan, Xintao ;
Shen, Shengyin ;
Xu, Shaobing ;
Liu, Henry X. .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 144
[10]   Examining the effect of road horizontal alignment on the speed of semi-automated vehicles [J].
Garcia, Alfredo ;
Camacho-Torregrosa, Francisco Javier ;
Baez, Pedro Vinicio Padovani .
ACCIDENT ANALYSIS AND PREVENTION, 2020, 146