ROAD-MAINTENANCE PLANNING USING GENETIC ALGORITHMS. II: ANALYSIS

This paper demonstrates the application of genetic algorithms to the analysis of road maintenance planning problems. PAVENET, a genetic algorithm computer model developed to serve as an analytical tool for pavement maintenance engineers, operates within the following parameters: 1) network parameters, such as the age structure of pavements; 2) maintenance-policy parameters, such as the choice of warning levels; and 3) resource parameters, such as the level of budget available. Examples illustrate how the pavement age structure affects road maintenance planning, how the PAVENET program formulates a maintenance strategy to regulate long-term maintenance demand, and how poor budget planning initially can result in long-term adverse effects. Additional examples demonstrate the flexibility of the PAVENET program and its applications to road network maintenance planning.

Language

  • English

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Filing Info

  • Accession Number: 00669216
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 31 1994 12:00AM