Impact of Fundamental Elements of Connected and Autonomous Technology on Right-Turn Gap Acceptance Behavior at an Uncontrolled Intersection
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 3
Abstract
Different original equipment manufacturers (OEMs) provide different connected and autonomous vehicle (CAV) solutions. However, previous studies that estimated the impact of CAV on driving behaviors assumed CAVs are identical, with an integrated form of technologies. In this study, a simulation was conducted to investigate how different fundamental elements of CAV technology (i.e., communication range, number of vehicular interactions, and car-following distance) affect right-turn gap acceptance behavior at unsignalized intersections. The results of the statistical analysis, critical gaps comparison, platooning analysis, and logistic regression revealed that (1) all elements increase the lag acceptance rate compared with all human-driven vehicles; (2) a longer communication range and more vehicular interactions make CAVs turn conservatively from a minor road, causing the critical gap to increase; (3) a shorter car-following distance causes CAVs to generate longer platoons and shorter gaps on a major road, which decreases acceptance probability; and (4) CAVs with a shorter car-following distance on a minor road are more aggressive in accepting gap/lag, causing the critical gap to decrease and acceptance probability to increase. The study conducted an impact analysis of CAV technologies from a novel perspective, and the results can be used as a technical report of CAV’s performance to help build transportation policies.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors thank Dr. Dominique Lord and Mr. Xiang Fang for leading the field data collection in CVEN 617—Traffic Engineering: Characteristics at Texas A&M. The authors confirm the contributions to the study: conception and design: Yongxin Peng and Xiaoyu Guo; analysis and interpretation of results: Yongxin Peng; draft manuscript preparation: Yongxin Peng and Xiaoyu Guo; and proofreading: Yongxin Peng, Xiaoyu Guo, Manze Guo, and Guohua Song. All authors reviewed the results and approved the final version of the manuscript.
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Journal of Transportation Engineering, Part A: Systems
Volume 149 • Issue 3 • March 2023
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© 2022 American Society of Civil Engineers.
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Received: Oct 29, 2021
Accepted: Aug 9, 2022
Published online: Dec 23, 2022
Published in print: Mar 1, 2023
Discussion open until: May 23, 2023
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