Study of urban traffic planning model based on impedance matching of complex road networks

In the current urban traffic planning models, the impedance of complex road networks is not matched, resulting in relatively low model accuracy and failure to alleviate traffic congestion. In order to solve this problem, an urban traffic planning model based on impedance matching of complex road networks is constructed. Firstly, the impedance matching technology of a complex road network was studied; the weight coefficient of impedance feature information detection was calculated by sampling impedance feature information of the complex road network and considering the vehicle density in road segments in the complex road network, and the impedance feature information was detected according to the weight coefficient, so as to complete impedance matching of the complex road network. The total error rate during impedance matching of the complex road network was predicated, and optimal optimization was performed to the impedance matching results of the complex road network according to the detection results of impedance feature information to track the impedance matching results of the complex road network and ensure the matching accuracy, so as to construct a high-precision urban traffic planning model. The designed urban traffic planning model was applied to a main road section of a city for experiment. The experimental results showed that the model can provide a success rate close to 100% in urban traffic congestion detection and it only resulted in 41ms in time overhead when the number of urban traffic monitoring nodes was 100. It proves that the proposed model can effectively alleviate traffic congestion, improve the traffic capacity of road sections and effectively guide traffic planning and design.