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Author:

Chang, Xin (Chang, Xin.) | Li, Haijian (Li, Haijian.) | Rong, Jian (Rong, Jian.) (Scholars:荣建) | Qin, Lingqiao (Qin, Lingqiao.) | Yang, Yanfang (Yang, Yanfang.)

Indexed by:

EI Scopus CSCD

Abstract:

To explore the characteristics of mixed traffic flow with platoons of intelligent connected vehicles, a mathematical analytical expression that can reflect the random distribution characteristics of different types of vehicles in mixed traffic flow is proposed. Considering the dynamic characteristics of desired headway changing with speed, the car-following model of different types of vehicles was established. Based on this, the fundamental diagram of the mixed traffic flow with intelligent connected vehicle platoons was derived. Moreover, the sensitivity analyses of the market penetration rate of connected vehicles and the maximum platoon size were made. The simulation results show that the traffic capacity is gradually improved with the increase of the market penetration rate p. When p0.5, the improvement of capacity is significant as the market share increases. In addition, with the increasing popularity of intelligent connected vehicles, the impact of the platoon size on traffic capacity becomes more and more significant. Meanwhile, the platoon size should be maintained between 4 and 6 when p © 2020, Editorial Department of Journal of Southeast University. All right reserved.

Keyword:

Commerce Street traffic control Sensitivity analysis Vehicles Competition

Author Community:

  • [ 1 ] [Chang, Xin]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Li, Haijian]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Rong, Jian]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Qin, Lingqiao]Traffic Operations and Safety Laboratory, University of Wisconsin-Madison, Madison; WI; 53706, United States
  • [ 5 ] [Yang, Yanfang]Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, China Academy of Transportation Sciences, Beijing; 100029, China

Reprint Author's Address:

  • 李海舰

    [li, haijian]beijing key laboratory of traffic engineering, beijing university of technology, beijing; 100124, china

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Source :

Journal of Southeast University (Natural Science Edition)

ISSN: 1001-0505

Year: 2020

Issue: 4

Volume: 50

Page: 782-788

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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