Research on Staged Pricing Model and Simulation of Intelligent Urban Transportation

Abstract

Public bus in cities brings many conveniences for citizens due to its characteristics of timely arriving and fast spread. However, as the number of selected lines increases, the current same price for all passengers in different riding path couldn't make the bus industry development step further. It brings some concerns. The first one is that same price for different people without considering customers' riding distance and riding time may make some passengers feel unfair. The second one is that same price couldn't help the bus company get profits from the customers who are willing to pay more for the distance by this transportation. For solving these problems and helping the public bus develop well, this paper constructs a pricing model for scientifically setting the bus price for different customers in different stage by considering the personalized characteristics of passengers and their route path and waiting time. In the experiment part, this paper adopts the public bus simulation operating data to demonstrate the superiority of the present model. The results show that the devised pricing model for the public bus could help the company get more profits and keep the customers.