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Dec 14, 2021
Adaptability Assessment Framework for Public Transit Systems with Automated Vehicles on Open Flow Roads
Authors: Lei Wang [email protected], Zhongyi Wu [email protected], Wenxiang Li [email protected], Haode Liu [email protected], and Wanjing Ma [email protected]Author Affiliations
Publication: CICTP 2021
ABSTRACT
Automated driving technology accelerates the transformation of the present urban transportation patterns. Urban public transit systems are generally the frontier of applying innovative techniques to realize automation. Although different types of innovative automated public transportation modes have been proposed, the automation of conventional public transit systems still attracts manufacturers, operation agencies, and transit administrations. This paper presents a framework for adaptability assessment for public transit systems with automated vehicles on open flow roads from both sides of vehicle adaptation to different scenarios and impacts to mixed traffic flows. This framework contains two-side index system and checklist to cover different scenarios for transit operation. The study observed both testing automated buses and human driving buses in Shanghai connected intelligent vehicle testing zone. The result suggests that the automated driving buses at the current technological stage presents gaps compared to human driving buses.
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Published online: Dec 14, 2021
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1College of Transportation Engineering, Tongji Univ., Shanghai, China. Email: [email protected]
2China Academy of Transportation Sciences (CATS), MOT, Beijing, China. Email: [email protected]
3Dept. of Traffic Engineering, Business School, Univ. of Shanghai for Science and Technology, Shanghai. Email: [email protected]
4China Academy of Transportation Sciences (CATS), MOT, Beijing, China. Email: [email protected]
5Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., Shanghai, China. Email: [email protected]
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