Integration of Traffic Information into the Path Planning among Moving Obstacles

Zhiyong Wang, John Steenbruggen, Sisi Zlatanova

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
15 Downloads (Pure)

Abstract

This paper investigates the integration of traffic information (TI) into the routing in the presence of moving obstacles. When traffic accidents occur, the incidents could generate different kinds of hazards (e.g., toxic plumes), which make certain parts of the road network inaccessible. On the other hand, the first responders, who are responsible for management of the traffic incidents, need to be fast and safely guided to the incident place. To support navigation in the traffic network affected by moving obstacles, in this paper, we provide a spatio-temporal data model to structure the information of traffic conditions that is essential for the routing, and present an extended path planning algorithm, named MOAAstar–TI (Moving Obstacle Avoiding A* using Traffic Information), to generate routes avoiding the obstacles. A speed adjustment factor is introduced in the developed routing algorithm, allowing integration of both the information of vehicles and traffic situations to generate routes avoiding the moving obstacles caused by the incidents. We applied our system to a set of navigation scenarios. The application results show the potentials of our system in future application in real life.
Original languageEnglish
Article number86
Number of pages14
JournalISPRS International Journal of Geo-Information
Volume6
Issue number3
DOIs
Publication statusPublished - 2017

Keywords

  • traffic incident management
  • spatial data model
  • routing algorithm
  • roving obstacles
  • OA-Fund TU Delft

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