Scheduling highway maintenance projects with genetic algorithms

Yimin Tang, Steven Chien

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The schedule of highway work zones significantly affects maintenance project cost and duration as well as the convenience of traveling public and local businesses. Optimization of work zone schedules may result in substantial benefits to responsible agencies, contractors and roadway users in terms of reduced costs, delay and safety hazards. The work zone scheduling problem is a large combinatorial optimization problem and difficult to be solved analytically. The Genetic Algorithm (GA) developed in this study may assist transportation agencies to schedule work zone lane closures more efficiently. An example is presented to demonstrate the application of the developed GA.

Original languageEnglish (US)
Title of host publicationWMSCI 2007 - The 11th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 13th International Conference on Information Systems Analysis and Synthesis, ISAS 2007 - Proc.
Pages200-205
Number of pages6
StatePublished - 2007
Event11th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2007, Jointly with the 13th International Conference on Information Systems Analysis and Synthesis, ISAS 2007 - Orlando, FL, United States
Duration: Jul 8 2007Jul 11 2007

Publication series

NameWMSCI 2007 - The 11th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 13th International Conference on Information Systems Analysis and Synthesis, ISAS 2007 - Proc.
Volume1

Other

Other11th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2007, Jointly with the 13th International Conference on Information Systems Analysis and Synthesis, ISAS 2007
Country/TerritoryUnited States
CityOrlando, FL
Period7/8/077/11/07

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

Keywords

  • Cost
  • Delay
  • Genetic Algorithm
  • Highway Maintenance
  • Optimization
  • Scheduling
  • Traffic Control
  • Work Zone

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