Research on multimodal traffic path planning problem

Abstract

Under the background of rapid growth of residents' travel demand and diversification of travel modes, this essay transforms multi-mode travel behavior into a multi-stage decisionmaking process by analyzing travelers' decision-making behavior. In the decision-making of travel path, the dynamic programming theory is introduced, and the decision is made in stages with the lowest generalized travel cost as the goal, and finally the best travel path and corresponding travel mode are obtained. Finally, taking a certain area of Nanjing as an example, a dynamic programming standard model is constructed according to the actual situation of public transport routes. According to the calibration of relevant parameters under the target, the model is solved, and the decision-making scheme is finally obtained.