Table of Contents Author Guidelines Submit a Manuscript
Discrete Dynamics in Nature and Society
Volume 2018, Article ID 1605717, 11 pages
https://doi.org/10.1155/2018/1605717
Research Article

Chaotic Behavior of Traffic-Flow Evolution with Two Departure Intervals in Two-Link Transportation Network

1College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
2Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada M5B 2K3
3Fujian Urban & Rural Planning Design Institute, Fuzhou 350003, China

Correspondence should be addressed to Shixu Liu; moc.qq@17651873

Received 29 July 2018; Revised 21 October 2018; Accepted 25 October 2018; Published 6 November 2018

Academic Editor: Ricardo López-Ruiz

Copyright © 2018 Shixu Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In this study, the influence of traveler's departure time choice in day-to-day dynamic evolution of traffic flow in a transportation network is investigated. Combining historical information and real-time information, a dynamic evolution model of traffic flow with a study period divided into two intervals is proposed for a simple two-link network. Then, the evolution of network traffic flow is investigated using numerical experiments. Three types of information are considered: only historical information, only real-time information, and both historical and real-time information. The results show that the dynamic evolution of network traffic flow under the three types of information is similar. However, the possibility of chaos occurrence under both historical and real-time information is smaller than that under two individual types of information. When chaos occurs, the chaotic behavior in traffic-flow evolution under only real-time information is relatively less complex than that under the other two types of information.