| Abstract |
with the development of social economy and the improvement of people's living standards, the capacity of the existing urban road network is difficult to meet the surging traffic demand, and the choice of traffic path affects the distribution of traffic flow in the road network to a large extent. In this paper, the key technology of urban traffic path guidance is studied by combining the Internet of vehicles technology, so as to provide real-time and efficient guidance information service for vehicles in the road network, realize the balanced distribution of traffic flow in the road network, and excavate the maximum capacity of the existing road network, so as to alleviate traffic congestion. This paper constructs the car networking framework under the condition of traffic information collection technology, and the traffic information in the network transmission of the minimum spacing, vehicle and roadside tree nodes are studied, and then in order to improve the accuracy of vehicle location information, for GPS by the interference of high buildings, parking lots, tunnels city, puts forward the RFID assisted GPS positioning technology, using RFID information to modify the positioning error of GPS. Finally, the ant movement rules and pheromone updating rules of the ant colony algorithm were improved, and a dynamic path re-search strategy was proposed. Finally, a simulation environment was established on Matlab. Based on the collected traffic information and short-term traffic flow prediction information, the ant colony algorithm was used to solve the problem and realize the traffic path induction. © 2019 IEEE. |
