Abstract

AbstractThe development of Internet of vehicle (IOV) and autopilot technology indicates the coming of smart traffic and automatic unmanned era. The promotion of networking and intelligence not only provides a rich source for urban traffic data, but also provides an efficient and direct way to solve urban traffic problems. With the help of deep learning and reinforcement learning technology, we propose a model to mine the urban traffic rule from the travel history of urban travelers, and utilize it achieving better allocation of traffic resources by providing a traffic guidance service, finally realize the system optimal traffic travel.KeywordsCloud serviceDeep learningReinforcement learningTraffic guidance

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