• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Wang, Li (Wang, Li.) | Du, Zhen-Cai (Du, Zhen-Cai.) | Rong, Jian (Rong, Jian.) (Scholars:荣建)

Indexed by:

EI Scopus PKU CSCD

Abstract:

A quantitative analysis is conducted on the chaos phenomenon in the car-following fleet based on the headway kept by the two consecutive vehicles and the follow-up vehicle's speed. By studying the microscopic characteristics of the vehicles fleet in the process of stimuli and reaction, it is proved that there exists a chaos occurrence in the car-following fleet. In order to reasonably model the expected headway in traffic stream, four expected desired headway models are proposed. Then, the Rossler chaos attractors are introduced in those four models to choose the models that can describe the actual traffic characteristics. The calibration and validation procedures are conducted using high accurate GPS equipped vehicles to collect data from expressways. Based on the results it can be seen that the modified headway models can best reflect the car-following characteristics of the real traffic flow.

Keyword:

Speed Vehicles Chaos theory Global positioning system Highway engineering Mathematical models

Author Community:

  • [ 1 ] [Wang, Li]Transportation Research Center, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Du, Zhen-Cai]Transportation Research Center, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Rong, Jian]Transportation Research Center, Beijing University of Technology, Beijing 100022, China

Reprint Author's Address:

Email:

Show more details

Related Keywords:

Related Article:

Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2005

Issue: 6

Volume: 31

Page: 598-603

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

Online/Total:685/5296635
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.