Charging Load Prediction Model of Electric Taxi Considering Dynamic Road Network

With the development of society, electric cars are increasingly popular. Electric taxi will still become one of the important transportation tools for residents in the future due to its stop-and-go characteristics. In this paper, considering that electric taxi travel is affected by the traffic characteristics of the road network itself and the vehicle charge, an electric taxi charging load prediction model is established which is affected by daily dynamic traffic trip changes and real-time monitoring of charging conditions. First of all, the urban area is planned as a road network, then in view of the influence of multiple factors on traffic congestion, such as the restriction of the morning and evening bus lane, the prohibition of left and the signal light at the intersection, the corresponding road resistance model and speed flow model are established. Dijkstra algorithm is used to repeatedly calculate the shortest path considering real-time traffic information to guide the driving of electric taxi, and then the charging load of electric taxi is predicted. Finally, an example is given to illustrate the effectiveness of the method.