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Author:

Zhang, Ledian (Zhang, Ledian.) | Weng, Jiancheng (Weng, Jiancheng.) | Chen, Zhihong (Chen, Zhihong.)

Indexed by:

EI Scopus

Abstract:

Commuting travel is the main part of urban resident travel, and bus travel accounts for the highest percentage among all travel modes. The development and application of intelligent transport systems provide the necessary data foundation for bus operation monitoring and characteristic analysis. First, this paper proposes a model for calculating bus travel speeds on a commuting corridor. Then, a method of analyzing spatial-temporal distribution characteristics is established to extract the multi-dimensional features of bus travel speed, including road class, time period, and spatial location. Finally, the paper takes actual bus travel speed data of 15 main commuting corridors in Beijing as a case study. The results show that, with bus lanes, bus travel speed would increase 18.2 percent. The bus travel speed calculation model and spatial-temporal distribution characteristic analysis method reveal the micro-characteristics of bus operation on commuting corridors. They can provide support to make and implement bus optimization plans. © 2014 American Society of Civil Engineers.

Keyword:

Global positioning system Traffic control Spatial distribution Buses Speed Multimodal transportation Intelligent systems

Author Community:

  • [ 1 ] [Zhang, Ledian]Key Lab of Traffic Engineering, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China
  • [ 2 ] [Weng, Jiancheng]Key Lab of Traffic Engineering, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China
  • [ 3 ] [Chen, Zhihong]Beijing Transportation Information Center, A9, Liuliqiao South Lane, Fengtai District, Beijing, China

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Source :

Year: 2014

Page: 1443-1453

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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