69-82

• Chen, Chao-Hua
• Liao, Kai-I

This study is aimed at planning traffic signal maintenance work using a demand-response routingmodel with time-dependent travel times. The routing model was able to produce timely maintenance routes foreach maintenance vehicle compatible to the daily inspection plan and randomly revealed malfunctioning trafficsignals. Three modules, the route-generating module, the decision-support module and the time-evolutionmodule, constituted the model framework, and Genetic Algorithms (GAs) were used to solve for dynamicmaintenance routes. Furthermore, different service strategies with different routing procedures based upon acase reconstructed from real world data were designed and tested to reflect the concerns for practicalapplications. Evaluation results show the routing model is flexible in structure and feasible enough for practicalapplications.

• Economics and Business

• Signals and signaling
• Business management

traffic signal maintenance operations, demand-response routing model, time-dependent travel time, genetic algorithms

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