Departure Time Optimization of Last Trains in Subway Networks: Mean-Variance Model and GSA Algorithm-Reference-Cited by-同舟云学术

Departure Time Optimization of Last Trains in Subway Networks: Mean-Variance Model and GSA Algorithm

Published:2015-11 Issue:6 Volume:29 Page:04014081
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Kang Liujiang¹,Zhu Xiaoning²,Wu Jianjun³,Sun Huijun⁴,Siriya Skolthanarat⁵,Kanokvate Tungpimolrut⁵

Affiliation:

1. Doctor, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China (corresponding author).

2. Professor, School of Traffic and Transportation, Beijing Jiaotong Univ., Beijing 100044, China.

3. Associate Professor, State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong Univ., Beijing 100044, China.

4. Professor, Ministry of Education Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong Univ., Beijing 100044, China.

5. Researcher, Intelligent Supervisory Control And Data Acquisition (SCADA) Lab, Advanced Automation and Electronics Research Unit, National Electronics and Computer Technology Center, 112 Thailand Science Park, Phahonyothin Rd., Pathum Thani 12120, Thailand.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000407

Reference27 articles.

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4. Cevallos F. and Zhao F. (2006). “Minimizing transfer times in a public transit network with a genetic algorithm.” Transportation Research Record 1971 Transportation Research Board Washington DC 74–79.

5. From timetabling to train regulation—a new train operation model

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