ComputingAutomotive EngineeringAutonomous SystemsAutonomous VehiclesMotion PlanningPath PlanningCollision AvoidanceCollision DetectionHeuristic SearchIntelligent Transportation SystemsOptimal ControlAutonomous Vehicle Path PlanningHeuristic ComputationMonte Carlo Tree SearchOptimal Order ExecutionSolution Space DesignSolution Space ExplorationTree-based Representation
In this paper, we propose a new cooperative driving strategy for connected and automated vehicles (CAVs) at unsignalized intersections. Based on the tree representation of the solution space for the passing order, we combine Monte Carlo tree search (MCTS) and some heuristic rules to find a nearly global-optimal passing order (leaf node) within a very short planning time. Testing results show that this new strategy can keep a good tradeoff between performance and computation flexibility.
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Mastering the game of Go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan et al. · Nature · 2017 · 9.2K citations
Engineering, Educational Psychology, Cognitive Psychology +7