• 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:

Li, Li (Li, Li.) | Jiang, Rui (Jiang, Rui.) | He, Zhengbing (He, Zhengbing.) | Chen, Xiqun (Michael) (Chen, Xiqun (Michael).) | Zhou, Xuesong (Zhou, Xuesong.)

收录:

SSCI EI Scopus SCIE

摘要:

In this paper, we review trajectory data-based traffic flow studies that have been conducted over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest in the latest developments of traffic flow theory that have been stimulated by the availability of trajectory data. We first highlight the critical role of trajectory data (especially the next generation simulation (NGSIM) trajectory dataset) in the recent history of traffic flow studies. Then, we summarize new traffic phenomena/models at the microscopic/mesoscopic/macroscopic levels and provide a unified view of these achievements perceived from different directions of traffic flow studies. Finally, we discuss some future research directions.

关键词:

Trajectory data Data collection Big data Traffic flow

作者机构:

  • [ 1 ] [Li, Li]Tsinghua Univ, Dept Automat, BNRist, Beijing, Peoples R China
  • [ 2 ] [Li, Li]Tsinghua Univ, Ctr Intelligent Connected Vehicles & Transportat, Beijing, Peoples R China
  • [ 3 ] [Jiang, Rui]Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol C, Minist Transport, Beijing 100044, Peoples R China
  • [ 4 ] [He, Zhengbing]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Chen, Xiqun (Michael)]Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Peoples R China
  • [ 6 ] [Zhou, Xuesong]Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA

通讯作者信息:

  • [He, Zhengbing]Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China;;[Chen, Xiqun (Michael)]Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Peoples R China;;[Zhou, Xuesong]Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA

查看成果更多字段

相关关键词:

相关文章:

来源 :

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

ISSN: 0968-090X

年份: 2020

卷: 114

页码: 225-240

8 . 3 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:115

被引次数:

WoS核心集被引频次: 148

SCOPUS被引频次: 167

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: 3

在线人数/总访问数:414/4288716
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