• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Chang, Xin (Chang, Xin.) | Li, Haijian (Li, Haijian.) | Rong, Jian (Rong, Jian.) (学者:荣建) | Zhao, Xiaohua (Zhao, Xiaohua.) | Wang, Yi (Wang, Yi.)

收录:

EI CSCD

摘要:

Under the context of intelligent network, vehicles can enact cooperatively at a small headway, and continuous connected vehicles will be in platoon configurations by information interaction of vehicle-to-vehicle or vehicle-to-infrastructure communication. Thus, the road capacity will be improved effectively. Considering the traffic flow randomly mixed with regular vehicles and connected vehicles, 4 types of car-following characteristics and its spatial distribution probability in heterogeneous traffic flow were analyzed. Then the fundamental diagram model and the passenger car equivalents (PCE) were obtained. And the sensitivity analyses on penetration rate of connected vehicle and platoon size were carried out. Research results show that the improvement of the penetration rate of the connected vehicles and the increase of the platoon scale will help enhance the traffic capacity and reduce the PCE. Moreover, the positive impacts will be more obvious with the increase of the penetration rate of the connected vehicles. When the vehicle platoon scale is larger than 4, its impact on the traffic capacity improvement and the PCE reduction will decrease significantly. © 2020, Editorial Department, Journal of South China University of Technology. All right reserved.

关键词:

Motor transportation Probability distributions Sensitivity analysis Street traffic control Vehicles Vehicle to infrastructure Vehicle to vehicle communications

作者机构:

  • [ 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 ] [Zhao, Xiaohua]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Wang, Yi]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

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

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

Journal of South China University of Technology (Natural Science)

ISSN: 1000-565X

年份: 2020

期: 4

卷: 48

页码: 142-148

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 7

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

在线人数/总访问数:879/2910918
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司