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.
Highlights
Incident management (IM) is defined as the “entirety of measures that are intended to clear the road for traffic as quickly as possible after an incident has happened, ensure safety for emergency services and road users, and control the damage” [1]
We aim to provide the fastest routes that avoid moving obstacles caused by incidents, and we address the issues of integrating traffic information (TI) into the routing for first responders
This paper investigates the integration of traffic information into path planning in the presence of moving obstacles
Summary
Incident management (IM) is defined as the “entirety of measures that are intended to clear the road for traffic as quickly as possible after an incident has happened, ensure safety for emergency services and road users, and control the damage” [1]. In the car navigation industry, many commercial route guidance systems (e.g., Tom-Tom, INRIX, Google, and Garmin) have been developed, and some of these systems are even able to incorporate traffic information to suggest an alternative route These systems do not consider the dynamics of hazards caused by the incidents, and cannot provide routing services among moving obstacles. An important class of information needed for routing among moving obstacles is the information of traffic situations in road networks. Because vehicle speed is largely dependent on traffic, the route guidance system should consider the status of roads influenced by moving obstacles and the traffic conditions This is important for navigating the responders who have to proceed to destinations in the least amount of time to perform their rescue operations.
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