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- W2937985782 abstract "Appropriate traffic coordination at road intersections plays a crucial part in modern intelligent transportation systems (ITS). In this paper, we first try to extend the traditional single collision-set (CS) coordination strategy to multiple-collision-set strategies, by which the traffic throughput can be significantly improved. Unlike the existing centralized coordination methods, two low complexity coordination methods are proposed based on the multi-agents Q-learning frameworks. Numerical results show that, the proposed high throughput strategies are able to provide safe and efficient traffic coordination. Meanwhile, since only local information is required, the coordination complexity can be reduced, which is attractive in highly dynamic real time scenarios." @default.
- W2937985782 created "2019-04-25" @default.
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- W2937985782 date "2018-12-01" @default.
- W2937985782 modified "2023-09-24" @default.
- W2937985782 title "Autonomous Cooperative Vehicle Coordination at Road Intersections" @default.
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- W2937985782 doi "https://doi.org/10.1109/iccs.2018.8689201" @default.
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