Intercity Truck Driver Route Choice Incorporating Drivers’ Heterogeneity in Toll Road Usage: Data Collection, Model Estimation, and Model Application

This research intends to develop a route choice model for truck drivers that make intercity trips with a special focus on toll road usage. The authors utilize revealed preference (RP) data of driver-verified Global Positioning System (GPS) data, and an exit survey that collects driver characteristics. A mixed path size logit model is estimated with log-normally distributed travel time and travel time variability. The estimation results indicate that apart from travel time and travel time variability, other important factors affecting route choice include toll, distance, road class, driver experience, and driver characteristics. In the choice of toll roads, the authors find huge heterogeneity caused by drivers’ employment type (owner operator or for-hire) interacted with the equipment of electronic toll tag. Based on the model estimation results, the authors derive value of time (VOT) and value of reliability (VOR) for truck drivers of different types. The authors apply the model to predict choice probabilities between tolled and un-tolled roads. The contribution of this study is a truck driver route choice model incorporating drivers’ heterogeneity towards toll road usuage, as well as VOT and VOR estimations based on a nation-wide RP dataset.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AT060 Standing Committee on Trucking Industry Research.
  • Authors:
    • Toledo, Tomer
    • Jing, Peiyu
    • Atasoy, Bilge
    • Ding-Mastera, Jing
    • Santos, Jorge Oliveira
    • Ben-Akiva, Moshe
  • Conference:
  • Date: 2018


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 9p

Subject/Index Terms

Filing Info

  • Accession Number: 01661234
  • Record Type: Publication
  • Report/Paper Numbers: 18-02626
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 8 2018 10:38AM