Comparative Univariate and Regression Survival Analysis of Lane-Changing Duration Characteristic for Heavy Vehicles and Passenger Cars
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 12
Abstract
In contrast to passenger cars, the lane-changing (LC) behavior of heavy vehicles has a more profound impact on traffic flow. This paper investigates LC duration characteristics for heavy vehicles and passenger cars through comparative univariate and regression survival analysis. LC events are extracted from the HighD dataset. Five commonly-used univariate survival models are introduced to explore the overall survival function of LC duration between passenger cars and heavy vehicles. Three accelerate failure time models are employed to investigate the difference of the influencing factors of LC duration. Our results demonstrate that a significant difference exists in LC characteristic between these two types of vehicles. The survival curve of heavy vehicles is always above that of passenger cars, and these two curves show a trend of moving away from each other and then gradually approaching. The median survival time (MST) of heavy vehicles is 0.57 s higher than passenger cars. Heavy vehicles would maintain a longer time-headway and distance-headway with preceding vehicle when changing lane, and their LC durations are less susceptible to such interactions with the preceding vehicle and more susceptible to their own speed. Finally, the main findings, modeling implications, practical applications, and future work have been discussed. We hope this paper could contribute to our further understanding of LC behaviors of heavy vehicles and passenger cars.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies (HighD dataset). Some or all data, models, or code generated or used during the study is provided by the National Key Research and Development Program. They are proprietary or confidential in nature and may only be provided with restrictions.
Acknowledgments
The authors thank the anonymous reviewers for their constructive comments and help to improve our paper. This work is supported by National Natural Science Foundation of China (Grant No. 52172331) and the National Key Research and Development Program of China (Grant No. 2018YFE0102800). Daiheng Ni has no involvement in the research grants.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 148 • Issue 12 • December 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Nov 3, 2021
Accepted: Aug 3, 2022
Published online: Oct 8, 2022
Published in print: Dec 1, 2022
Discussion open until: Mar 8, 2023
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