Optimization of transit route network, vehicle headways and timetables for large-scale transit networks-Reference-Cited by-同舟云学术

Optimization of transit route network, vehicle headways and timetables for large-scale transit networks

Published:2008-04 Issue:2 Volume:186 Page:841-855
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Zhao Fang,Zeng Xiaogang

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference17 articles.

1. An AI-based approach for transit route system planning and design;Baaj;Journal of Advanced Transportation,1991

2. Network Optimization: Continuous and Discrete Models;Bertsekas,1998

3. A multi-objective optimization approach to urban school bus-routing: Formulations and solution methods;Bowerman;Transportation Research – Part A,1995

4. Bus network design;Ceder;Transportation Research – Part B,1986

5. Fan, W., Machemehl, R.B., 2004. Optimal transit route network design problem: Algorithms, implementations, and numerical results. Report No. SWUTC/04/167244-1, Center for Transportation Research, University of Texas at Austin.

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