Incorporating Bidirectional Heuristic Search and Improved ACO in Route Planning

نویسندگان

  • Guangming Xiong
  • Xiaoyun Li
  • Shuai Zhou
  • Hao Lu
  • Yan Jiang
  • Jianwei Gong
چکیده

A multi-objective multi-node dynamic route planning system for a vehicle is presented in this paper. In this system, a bidirectional heuristic search algorithm is designed to perform path planning between two nodes in a topological map created by OpenStreetMap for urban scenarios. And then an improved multi-objective Ant Colony Optimization (ACO) algorithm considering the timeliness of goal nodes is proposed to generate the node sequence. Experimental results validated the proposed approach.

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تاریخ انتشار 2015