Genetic algorithm for constraint optimal toll ring design

Agachai Sumalee

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

This chapter considers the optimal toll ring design problem in a general urban traffic network. Several constraints on outcomes of the toll ring scheme are imposed on the design (e.g., equity impact or revenue). In this chapter, the GA based algorithm proposed by [13] is integrated with a penalty based approach to tackle the problem. Three penalty methods including static, dynamic, and self-adaptive penalties are investigated. The algorithm is tested with a realistic traffic network.
Original languageEnglish
Title of host publicationAdvances in Computational Intelligence in Transport, Logistics, and Supply Chain Management
Pages45-61
Number of pages17
DOIs
Publication statusPublished - 18 Sep 2008

Publication series

NameStudies in Computational Intelligence
Volume144
ISSN (Print)1860-949X

Keywords

  • Contraint handling
  • Genetic algorithms
  • Optimal toll location
  • Road pricing

ASJC Scopus subject areas

  • Artificial Intelligence

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