Impact of Automated Driving under Virtual Traffic Signals on Traffic Resilience of Urban Road Networks

Author:

Zhang Yankai11111,Chen Jiajing11111,Liang Bo11111,Xu Zihuan11111,Mo Lei11111,Zhang Zhao11111,Bian Ruijie “Rebecca”11111

Affiliation:

1. Key Laboratory of Intelligent Transportation Technology and System, Ministry of Education, and School of Transportation Science and Engineering, Beihang Univ., Beijing, China.

Publisher

American Society of Civil Engineers

Reference15 articles.

1. Ahmed S. (2018). Resilience modeling of the surface transportation system in the mixed traffic environment. West Virginia University. [URL https://researchrepository.wvu.edu/d/6155/].

2. Autonomous Vehicles: A Survey on Technologies, Applications, and Challenges;Al-Fuqaha F.;IEEE Communications Surveys \& Tutorials,2018

3. A methodology for road traffic resilience analysis and review of related concepts

4. Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data

5. Towards connected autonomous driving: review of use-cases

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