Urban route planning considering traffic flows

Urban route planning is an important direction in the research of Intelligent Transportation Systems (ITS). as the development of sensor and information technology, we can recognise timely how crowded a street is. Route planning considering traffic congestion can further improve people's travel and effectively reduce the time-cost. In this paper, we use the traffic flow of a road to describe how crowded this road is, and construct a weighted network model based on a traffic-flow data of the main roads in the center of Beijing. By designing the network's weights, route planning considering traffic flows is transformed into searching for the shortest paths in the network. This route planning has been realized based on the real data in this paper. The results have shown that the routes recommended by the strategy considering traffic congestion save more time for travellers than the strategy not considering the traffic congestion.