MODELING ACCELERATION AND DECELERATION BEHAVIOR IN HOV LANE BY USING DISCRETE CHOICE THEORY

  • ZHENG Jian
    Graduate School of Engineering, Nagoya Institute of Technology
  • SUZUKI Koji
    Graduate School of Engineering, Nagoya Institute of Technology
  • FUJITA Motohiro
    Graduate School of Engineering, Nagoya Institute of Technology

この論文をさがす

抄録

In this study, we investigate drivers' acceleration and deceleration behavior by using a mixed logit model. Acceleration and deceleration are incorporated into five alternatives, and alternative-specific parameters are adopted to capture different attractiveness of each alternative. Compared to conventional car-following models, the vehicle type variable is used in the proposed model, which enables the model to allow for driving differences of different vehicle types. In addition, to intentionally avoid interference from lane-changing behavior, the model is estimated and validated by trajectory data in the high occupancy vehicle (HOV) lane. Estimation and validation results sufficiently demonstrate reasonability, robustness, along with accuracy of the model. Finally, this model is applied to simulate 30-minute traffic conditions. In relation to real traffic conditions, simulation results can represent driving differences of different vehicle types. It is also noted that, however, further improvement of this model is required to simulate real traffic more accurately.

収録刊行物

参考文献 (18)*注記

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ