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Integration of Traffic Information into the Path Planning among Moving Obstacles

Faculty of Architecture and the Built Environment, Department of Urbanism, 3D Geoinformation Group,Delft University of Technology, Julianalaan 134, 2628 BL Delft, The Netherlands
Department of Spatial Economics, VU University Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, TheNetherlands
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2017, 6(3), 86;
Received: 9 January 2017 / Revised: 17 February 2017 / Accepted: 13 March 2017 / Published: 16 March 2017
PDF [7162 KB, uploaded 21 March 2017]


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. View Full-Text
Keywords: traffic incident management; spatial data model; routing algorithm; roving obstacles traffic incident management; spatial data model; routing algorithm; roving obstacles

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Wang, Z.; Steenbruggen, J.; Zlatanova, S. Integration of Traffic Information into the Path Planning among Moving Obstacles. ISPRS Int. J. Geo-Inf. 2017, 6, 86.

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ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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