Network user equilibrium model for scheduling daily activity travel patterns in congested networks

L. Q. Ouyang, Hing Keung William Lam, Z. C. Li, D. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)


Travel demands are derived from the needs and the desires for participating in various activities, such as work, eating, and shopping. An understanding of the interaction between people's activity and travel choice behavior can serve as a base for long-term transport service planning and policy evaluation purposes. This paper proposes an activity-based network user equilibrium model for dealing with daily activity travel pattern (DATP) scheduling problems in congested networks, in which interdependency between people's activity and travel choices is comprehensively investigated. A diagonalization solution algorithm is developed to solve the scheduling problems. A remarkable merit of the developed solution algorithm is that it enables an automatic generation of individuals' DATPs, implying obviation of an explicit enumeration of those patterns that often were required in many previous related studies. A numerical example is provided to illustrate the application of the proposed model and solution algorithm.
Original languageEnglish
Pages (from-to)131-139
Number of pages9
JournalTransportation Research Record
Issue number2254
Publication statusPublished - 1 Dec 2011

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering


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