Route Choice Behavior Analysis: An Activity-based Simulation Perspective

The rapid growth in the travel demand management policies in the past decades has been calling for travel demand models which are sensitized to a wider and more complex range of behavioral dynamics. To address such a need, the literature of travel demand modeling has geared away from aggregate-level frameworks toward highly disaggregate activity-based models (ABMs) that could account for inter-personal heterogeneities from different perspectives. The need for more advanced ABMs becomes more and more noticeable given the recent advances in the transportation-related technologies, which both facilitate traveling and necessitate new policies to adopt. On the abstract level, an ABM consists of two modules that are linked together using a proper feedback system. The modules are built to replicate: 1) activity generation and planning behavior of individuals, and 2) moving vehicles in the network, between the activities. The Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) modeling framework is designed to draw a real-time linkage between the two modules and therefore provide a complete integration of activity and travel behavior. This article reports results of a recent study that set out to add to the current insight on dynamics of auto drivers’ preferences toward different route types. Results of this research are intended to help bring more robustness to the route choice component of ABMs, in particular ADAPTS.

  • Authors:
    • Shamshiripour, Ali
    • Parsa, Amir Bahador
    • Taghipour, Homa
    • Nafakh, Ahmad
    • Mohammadian, Abolfazl (Kouros)
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: References;
  • Pagination: 5p

Subject/Index Terms

Filing Info

  • Accession Number: 01709664
  • Record Type: Publication
  • Report/Paper Numbers: 19-02036
  • Files: TRIS, TRB, ATRI
  • Created Date: Jun 27 2019 3:01PM