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Author:

Guan, H.-Z. (Guan, H.-Z..) (Scholars:关宏志) | Long, X.-Q. (Long, X.-Q..) | Qin, H.-M. (Qin, H.-M..)

Indexed by:

Scopus PKU CSCD

Abstract:

In order to analyze the relationship between drivers' route-choice behavior and information providing approach and psychological characteristics of drivers, simulation method was adopted to study the route-choice behavior of completed rational drivers and boundedly rational drivers under emergency. First, model of accident dissipation time was proposed, the progress of accident dissipation was analyzed, and the relationship model of accident dissipation time and drivers number flowing into the road was established. Then, drivers were classified into completely rational drivers and boundedly rational drivers, and route-choice methods for different drivers were proposed. Aimed at different types of drivers, the relationship between drivers' route-choice and traffic volume, rational degree, proportion of boundedly rational drivers were analyzed. Through providing accident dissipation time information, principle of drivers' route-choice in different time was studied until the influence of accident was completely cleared. The results show that accident dissipation time is shorter when information announcing speed is faster and proportion of completed rational drivers is smaller. Accident dissipation time has no relationship with the dependence of drivers on the forecast information. The greater proportion of rational drivers, the longer the time that boundedly rational drivers emerge on the road, and the smaller the change degree of traffic flow. Before the road returns to normal state, traffic volume of each road has been greatly changed. © 2016, Editorial Department of Journal of Chang'an University (Natural Science Edition). All right reserved.

Keyword:

Boundedly rational; Emergency; Information announcing; Route-choice behavior; Traffic engineering

Author Community:

  • [ 1 ] [Guan, H.-Z.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Long, X.-Q.]School of Highway, Chang'an University, Xi'an, Shaanxi 710064, China
  • [ 3 ] [Qin, H.-M.]College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Chang'an University (Natural Science Edition)

ISSN: 1671-8879

Year: 2016

Issue: 5

Volume: 36

Page: 88-94

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

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