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Transportation Letters
The International Journal of Transportation Research
Volume 7, 2015 - Issue 4
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Research Papers

Genetic algorithm based on conflict detecting for solving departure time domains of passenger trains

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Pages 181-187 | Received 21 May 2014, Accepted 20 Mar 2015, Published online: 04 May 2015

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Zhengwen Liao, Jianrui Miao, Lingyun Meng & Haiying Li. (2022) A resource-oriented decomposition approach for train timetabling problem with variant running time and minimum headway. Transportation Letters 14:2, pages 129-142.
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Dingjun Chen, Shaoquan Ni, Chang’an Xu & Xinguo Jiang. (2019) Optimizing the draft passenger train timetable based on node importance in a railway network. Transportation Letters 11:1, pages 20-32.
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Articles from other publishers (5)

Xuelei Meng, Yahui Wang, Li Lin, Lei Li & Limin Jia. (2021) An Integrated Model of Train Re-Scheduling and Control for High-Speed Railway. Sustainability 13:21, pages 11933.
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Xuelei Meng, Yahui Wang, Wanli Xiang & Limin Jia. (2020) An integrated model for train rescheduling and station track assignment. IET Intelligent Transport Systems 15:1, pages 17-30.
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Zhiqiang Tian, Rui Zhang, Guofeng Sun & Di Cheng. (2020) Coordinated Optimization of Departure Time Domains of Multiple Trains at a Station Based on Passenger Satisfaction. Journal of Control Science and Engineering 2020, pages 1-9.
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Masoud Shakibayifar, Erfan Hassannayebi, Hossein Jafary & Arman Sajedinejad. (2017) Stochastic optimization of an urban rail timetable under time-dependent and uncertain demand. Applied Stochastic Models in Business and Industry 33:6, pages 640-661.
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Dingjun Chen, Shaoquan Ni, Chang’an Xu, Hongxia Lv & Simin Wang. (2016) High-Speed Train Stop-Schedule Optimization Based on Passenger Travel Convenience. Mathematical Problems in Engineering 2016, pages 1-10.
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