Connected automated vehicle impacts in Southern California part-I: Travel behavior and demand analysis
Connected and automated vehicle (CAV) technologies attracted extensive attention in the past decade. As CAV brings convenience to travel, people's travel behaviors and patterns might change significantly. Existing models, however, cannot comprehensively evaluate the impacts on transportation systems. This study adopted an activity-based approach to evaluate the comprehensive CAV impacts on the transportation system in Southern California. A stated-preference survey was conducted, and captured people's behavior changes associated with CAV deployment. The model prediction demonstrated that the total trip number increased by 9%, with an 13% growth in total car-like mode travel distance. Among all trip purposes, work trips contributed to 49% of total trip number growth and 75% of the increased car-like mode travel distance. The advanced CAV technology alone wouldn’t directly benefit future transportation systems and it is still critical to have appropriate policy interventions in place.
- Record URL:
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- © 2022 Brian Yueshuai He et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Yueshuai He, Brian
- Jiang, Qinhua
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0000-0002-2762-4273
- Ma, Jiaqi
- Publication Date: 2022-8
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: 103329
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 109
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Analysis; Connected vehicles; Intelligent vehicles; Stated preferences; Travel behavior; Travel demand
- Geographic Terms: Southern California
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01849726
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 24 2022 5:08PM