A Statistical Study of Discretionary Lane-changing Decision with Heterogeneous Vehicle and Driver Characteristics
Lane-changing maneuvers on highways may cause capacity drops, create shock waves, and potentially increase collision risks. Properly managing lane-changing behavior to reduce these adverse impacts requires an understanding of their determinants. This paper investigates the determinants of lane-changing in congested traffic using a Next Generation Simulation (NGSIM) dataset. A random parameters binary logit model with heterogeneity in means and variances was estimated to fully account for unobserved heterogeneity in lane-changing behavior across vehicles. Estimation results show that average headway, the original lane of the vehicle, driver aggressiveness, and vehicle size all significantly influence lane-changing probabilities. It was further found that the effect of vehicle size varied significantly across observations, and that the mean of this variation decreased with increasing average headway and the variance increased with increasing driver aggressiveness. These empirical findings provide interesting new evidence on the determinants of lane-changing, which can be used in traffic flow models to better replicate and predict traffic flow.
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Supplemental Notes:
- This paper was sponsored by TRB committee ACP50 Standing Committee on Traffic Flow Theory and Characteristics.
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Corporate Authors:
Transportation Research Board
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Authors:
- Li, Qianwen
- Li, Xiaopeng
- Mannering, Fred L
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Conference:
- Transportation Research Board 100th Annual Meeting
- Location: Washington DC, United States
- Date: 2021-1-5 to 2021-1-29
- Date: 2021
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 15p
Subject/Index Terms
- TRT Terms: Decision making; Drivers; Heterogeneity; Highway safety; Lane changing; Logits; Statistical analysis; Vehicle characteristics
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01764019
- Record Type: Publication
- Report/Paper Numbers: TRBAM-21-02028
- Files: TRIS, TRB, ATRI
- Created Date: Feb 4 2021 10:57AM