With the development of information technology and the coming of the internet of things,traffic signal control has brought new opportunities and *** paper presents a method of traffic network signal control,which used...
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With the development of information technology and the coming of the internet of things,traffic signal control has brought new opportunities and *** paper presents a method of traffic network signal control,which used to optimize traffic signal timing,reduce the delay of vehicles within the *** method is divided into two levels:intersection control level and network control *** control level uses a dynamic programming based adaptive *** control level uses an optimization algorithm based on conflict decision tree,using the a algorithm,rolling optimization and feedback control strategies to enhance the real-time,reliability and robustness of the *** effectiveness of the system has evaluated through an actual traffics network simulation conducted with *** show that the proposed method is significantly better than the time-of-day method in travel time,average delay and other parameters.
In this paper we describe a collection of heuristic search algorithms which use mixed ‘best-first’ and ‘depth-first’ strategies. These algorithms are designed to match the actual features of modern computers that ...
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In this paper, a path planning method for autonomous mobile robots in a known indoor environment is proposed. A traditional A* algorithm modified by a weighted cost function is proposed. The factors of distance and sa...
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ISBN:
(纸本)9781457707148
In this paper, a path planning method for autonomous mobile robots in a known indoor environment is proposed. A traditional A* algorithm modified by a weighted cost function is proposed. The factors of distance and safety are considered simultaneously in the cost function so that the path planning can let the mobile robot reach its goal safely and quickly. Some simulation results are presented to illustrate the proposed method has a good path planning for mobile robots. The proposed method has also been implemented and tested on a real mobile robot. The experiment results illustrate that the proposed method can let the autonomous mobile robot have a safe path-planning in a known environment.
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