• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Liu, Sisi (Liu, Sisi.) | Sun, Xiaoduan (Sun, Xiaoduan.) | He, Yulong (He, Yulong.)

Indexed by:

EI Scopus

Abstract:

Mixed traffic is a significant feature of Chinese traffic flow on urban street network, which is also a major cause of traffic congestion and frequent traffic accidents. In sections where motor vehicles and non-motor vehicles moving in same direction without separation, they would interfere with each other. This interference has serious impact on the capacity of sections, and simultaneously increases the accident risk. This paper analyzed the data through the method of probability theory and statistics, and got the result that 'the number of non-motor vehicles and the lateral distant between motor vehicles and non-motor vehicles are both interference factors aroused by non-motor vehicles'. Finally, non-motor vehicles' disturbance model to the motor vehicles were set up based on data analysis and proved to be correctly. The research provided a theoretical and basis to the traffic safety management under the mixed traffic environment. © 2009 ASCE.

Keyword:

Accident prevention Accidents Highway administration Probability Urban transportation Street traffic control Roads and streets Traffic congestion Vehicles Motor transportation

Author Community:

  • [ 1 ] [Liu, Sisi]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Sun, Xiaoduan]Civil Engineering Department, University of Louisiana, Lafayette, LA 70504, China
  • [ 3 ] [He, Yulong]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China

Reprint Author's Address:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2009

Volume: 358

Page: 456-462

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

Online/Total:636/10529292
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.