Abstract
First one is for short-term prediction of public transportation demand in different stations in a specific route and demand matrix between stations (number of passengers travel from one station to another station) according to historical data collected by automatic vehicle location (AVL) and auto fare collection (AFC) systems. This software can be used for operators to find the most influential operational tactics on different routes according to the route demand and supply patterns to increase the system’s efficiency and reduce operational cost. Also, the future prediction can be useful for passengers to plan their trips in terms of departure time and route selection to minimize their waiting and travel time.