Energy-sustainable traffic signal timings for a congested road network with heterogeneous users

Xiao Yan Ge, Zhi Chun Li, Hing Keung William Lam, Keechoo Choi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


This paper proposes a novel model to address the energy-efficient traffic signal timing problem for a congested road network with heterogeneous users. In the proposed model, two types of agents, i.e., the authority and road users, are considered together with the interaction between traffic signal settings and energy policy (e.g., fuel surcharges). To model the route choice behavior of heterogeneous users, a multiclass stochastic traffic network equilibrium problem that considers vehicle delays at signalized intersections and travel demand elasticity is described and formulated as a variational inequality formulation. The authority aims to maximize social welfare of the transportation system by optimizing the traffic signal timings and fuel surcharges. A simulated-annealing-based solution algorithm is developed to solve the proposed model. The findings show that the implementation of the fuel surcharge policy can cause spatial and social inequity issues.
Original languageEnglish
Article number6680711
Pages (from-to)1016-1025
Number of pages10
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number3
Publication statusPublished - 1 Jan 2014


  • Equity
  • fuel surcharge
  • heterogeneous users
  • simulated annealing (SA) approach
  • traffic signal timing

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications


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