Modeling Multi-class Truck Traffic Assignment Method with Different Traffic Restraint Constraints

Traffic assignment is an essential and fundamental step in the transportation planning and management processes (Sheffi, 1985; Patriksson, 1994; Bell and Iida, 1997). Given constant travel demands between each origin-destination (O-D) pair (i.e., travelers), and travel cost functions for each link of the network (i.e., transportation network), the traffic assignment problem is to determine the traffic flow pattern as well as network performance measures (e.g., total system travel time, vehicle miles of travel, vehicle hours of travel, fuel consumption and emission, etc.). In practice, most traffic assignment models are single user class and make a number of modeling assumptions including: separability assumption on the link travel time function (i.e., no interactions), deterministic user equilibrium (DUE) or stochastic user equilibrium (SUE) without accounting for route overlapping, and no side constraints to describe the limited supply of certain scarce resources (e.g., link capacities) in a network which are shared by multiple vehicle types (e.g., passenger cars and multiple truck types) or to limit certain classes of vehicles (e.g., trucks) on underpasses due to height restriction, bridges due to weight restriction, and prohibited lanes due to lane restriction. However, as truck traffic continues to grow as a result of increasing freight shipments transported by trucks, there is an increasing interest to model multiple vehicle classes separately, especially in addressing the impacts of truck traffic on congestion, infrastructure deterioration, safety, and environmental concerns in many urban cities. According to the Bureau of Transportation Statistics (BTS), freight shipments transported by trucks account for 71 percent by value in U.S. dollars and 76 percent by weight in tons of all commodity shipments (BTS, 2014). Hence, the purpose of this proposal is to develop advanced traffic assignment method and computation algorithm for addressing the asymmetric vehicle interactions, route overlapping, and traffic restraints in multi-class traffic assignment problems involving multiple types of trucks.


  • English


  • Status: Active
  • Contract Numbers:


  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue
    Washington, DC  United States  20590
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Utah State University, Logan

    Civil and Environmental Engineering Department
    Logan, UT  United States  84332
  • Principal Investigators:

    Chen, Anthony

    Song, Ziqi

  • Start Date: 20150609
  • Expected Completion Date: 20180731
  • Actual Completion Date: 0
  • Source Data: MPC-479

Subject/Index Terms

Filing Info

  • Accession Number: 01579596
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: DTRT13-G-UTC38
  • Files: UTC, RiP
  • Created Date: Oct 23 2015 2:55PM