Big Data Analysis of Beijing Urban Rail Transit Fares Based on Passenger Flow

Big Data Analysis of Beijing Urban Rail Transit Fares Based on Passenger Flow

This paper proposed improved measures for the shortest path fare scheme of urban rail transit. Firstly, this paper simulated Beijing rail transit by using Anylogic simulation technology and shortest path algorithm. Then, in order to find the travel time between any originations and destinations, thi...

Full description

Bibliographic Details
Main Authors: Honghu Gao, Shifeng Liu, Guangmei Cao, Pengfei Zhao, Jianhai Zhang, Peng Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Shortest path
Anylogic simulation
travel time
time distribution
big data analysis
pricing scheme of urban rail transit
Online Access:https://ieeexplore.ieee.org/document/9079852/

Internet

https://ieeexplore.ieee.org/document/9079852/

Similar Items