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Algorithm for CGF real-time route replanning in dynamic environment

  • Shao Bin Sun*
  • , Kuan Quan Wang
  • , Xue Hua Lin
  • , Zhi Jun Han
  • *Corresponding author for this work
  • Bengbu Tank Institute
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Optimal route planning is central to CGF's behaviors simulation. The arc costs may change during CGF traversing through the planed route based on initial information, then the remainder of the path needs to be replanned. The D* algorithm (Dynamic A*) plan optimal route in real-time by incrementally propagating path cost changes as new information is discovered, which is suitable for route replanning in dynamic environment. An extension to D* algorithm was described that uses domain heuristic information to guide state expansion, thus reduces the number of state expansion. This extension significantly improves the efficiency of CGF's route re-planning in a dynamic environment.

Original languageEnglish
Pages (from-to)2895-2898+2902
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume19
Issue number13
StatePublished - 5 Jul 2007
Externally publishedYes

Keywords

  • Computer generated forces
  • Heuristic information
  • Route planning
  • State expansion
  • The D* algorithm

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