Design and evaluation of dynamic traffic management strategies for congested conditions

Ghassan Abu-Lebdeh, Rahim F. Benekohal

Research output: Contribution to journalArticle

Abstract

This paper presents a procedure for dynamic design and evaluation of traffic management strategies in oversaturated conditions. The method combines a dynamic control algorithm and a disutility function. The dynamic algorithm designs signal control parameters to manage formation and dissipation of queues on system links with explicit consideration of current and projected queue lengths and demands. The disutility function measures the relative performance of the dynamic control algorithm based on preset system performance goals. The user may statically select the management strategy, or alternatively the system may be instructed to set off different management schemes based on prede.ned performance thresholds. The problem was formulated as one of output maximization subject to state, control, and tra.c management strategy choices. Solutions were obtained using genetic algorithms. Four traffic management plans were tested to show the capabilities of the new procedure. The results show that the procedure is able to generate suitable signal control schemes that are favorable to attaining the desired traffic management goals. The results showed that multiple, or hybrids of single measures of effectiveness may need to be examined in order to correctly assess system performance. The procedure has potential for real-time implementation in an intelligent transportation system setting.

Original languageEnglish (US)
Pages (from-to)109-127
Number of pages19
JournalTransportation Research Part A: Policy and Practice
Volume37
Issue number2
DOIs
StatePublished - Feb 1 2003

Keywords

  • Congestion
  • Oversaturation
  • Traffic control
  • Traffic management

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Management Science and Operations Research

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