Research on Regional Rail Transit Travel Planning System Based on Passenger Flow Prediction

Abstract

The travel planning system is an important reference tool for passengers to choose a travel route. An efficient and safe travel plan can improve the travel efficiency and ride safety of passengers, and improve the service level of the rail transit system. At the same time, travel planning information is of great value for more accurate prediction of short-term passenger flow, and more accurate short-term passenger flow prediction information can also provide support for higher-quality travel planning. Existing related studies have hardly considered the information interaction mechanism between passenger flow predicting and travel planning. To solve this problem, this paper proposes a new regional rail transit travel planning system design idea and implementation scheme based on passenger flow prediction. This system makes short-term prediction of passenger flow based on individual travel planning information. The passenger flow prediction results are used to provide support for subsequent passenger travel planning. Finally, the Chongqing rail transit network is taken as an example to analyze the prototype case, and the feasibility of the system scheme was preliminarily verified.