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Author:

Wang Yang (Wang Yang.) | Chen Yan-Yan (Chen Yan-Yan.) (Scholars:陈艳艳)

Indexed by:

EI Scopus SCIE CSCD

Abstract:

The complexity of signal controlled traffic largely stems from the various driving behaviors developed in response to the traffic signal. However, the existing models take a few driving behaviors into account and consequently the traffic dynamics has not been completely explored. Therefore, a new cellular automaton model, which incorporates the driving behaviors typically manifesting during the different stages when the vehicles are moving toward a traffic light, is proposed in this paper. Numerical simulations have demonstrated that the proposed model can produce the spontaneous traffic breakdown and the dissolution of the over-saturated traffic phenomena. Furthermore, the simulation results indicate that the slow-to-start behavior and the inch-forward behavior can foster the traffic breakdown. Particularly, it has been discovered that the over-saturated traffic can be revised to be an under-saturated state when the slow-down behavior is activated after the spontaneous breakdown. Finally, the contributions of the driving behaviors on the traffic breakdown have been examined.

Keyword:

spontaneous traffic breakdown cellular automata driving behaviors signalized traffic systems

Author Community:

  • [ 1 ] [Wang Yang]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Chen Yan-Yan]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 陈艳艳

    [Chen Yan-Yan]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China

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Source :

CHINESE PHYSICS B

ISSN: 1674-1056

Year: 2015

Issue: 3

Volume: 24

1 . 7 0 0

JCR@2022

ESI Discipline: PHYSICS;

ESI HC Threshold:190

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 11

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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