Agent-Based Integrated Decision Making for Autonomous Vehicles in Urban Traffic
نویسندگان
چکیده
We present an approach for integrated decision making of vehicle agents in urban traffic systems. Planning process for a vehicle agent is separated into two stages: strategic planning for selection of the optimal route and tactical planning for passing the current street in the most optimal manner. Vehicle routing is considered as a stochastic shortest path problem with imperfect knowledge about network conditions. Tactical planning is considered as a problem of collaborative learning with neighbor vehicles. We present planning algorithms for both stages and demonstrate interconnections between them; as well, an example illustrates how the proposed approach may reduce travel time of vehicle agents in urban traffic.
منابع مشابه
Reconciling strategic and tactical decision making in agent-oriented simulation of vehicles in urban traffic
We consider an integrated decision making process of autonomous vehicles in agent-oriented simulation of urban traffic systems. In our approach, the planning process for a vehicle agent is separated into two stages: strategic planning and tactical planning. During the strategic planning stage the vehicle agents constructs the optimal route from source to destination; during the tactical plannin...
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