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- Lei, Yumeng, et al.
(author)
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Choice Behavior and Diffusion Impact Analysis of Connected and Autonomous Vehicles Travelers with Managed Lanes
- 2024
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Conference paper (peer-reviewed)abstract
- With the accelerated integration of connected and autonomous vehicle (CAV) into transportation system, CAV has evolved rapidly. Emerging studies have focused onthe factors that influence travelers’ acceptance of CAV, the measures that contribute to CAV travel choice intention, and the methods that facilitate CAV promotion. However,different incentives in the CAV diffusion effect, and the trend of CAV travelers diffusion are the key questions that still remains to be investigated. Therefore, this study establishes a structural equation model (SEM) framework to explore the impact of external environmental factors and internal subjective factors on travel mode choice. Based on the identified influencing factors of the SEM, this study develops an agent based model (ABM) simulation approach to examine the diffusion trend of CAV travelers from an individual perspective. To calibrate the model, a questionnaire survey is designed to obtain data on the characteristics of travelers in Shenzhen, Guangdong Province, China, followed by a quantitative impact analysis. The survey results show that the CAV choice intention is influenced by individual and travel characteristics, as well as individual innovativeness and social influence utility of the social network in which the traveler is involved. The simulation experiments revealed that the diffusion ofCAV travelers is a complex process involving interactions among policymakers, CAV operators, and travelers. A lower CAV travel cost has a positive impact on the primary and middle process of CAV travelers diffusion. The findings contribute to understanding travelers’ demands and to helping agencies and CAV operators to implement effective promotion strategies.
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