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.

Language

  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 15p

Subject/Index Terms

Filing Info

  • Accession Number: 01764019
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-02028
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:17AM