2014
DOI: 10.1016/j.trc.2014.02.023
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Multi-objective optimization of train routing problem combined with train scheduling on a high-speed railway network

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Cited by 78 publications
(44 citation statements)
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References 23 publications
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“…Based on the train scheduling and focusing on the average travel duration time, Sun et al [12] considered the user's satisfaction and energy consumption to present an optimization model with multiple objective functions for the train routing on a railway network supporting high-speed, which is able to provide an important basis for planning of train to provide a good service. For implementation purposes, an enhanced genetic algorithm (GA) is developed and implemented.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Based on the train scheduling and focusing on the average travel duration time, Sun et al [12] considered the user's satisfaction and energy consumption to present an optimization model with multiple objective functions for the train routing on a railway network supporting high-speed, which is able to provide an important basis for planning of train to provide a good service. For implementation purposes, an enhanced genetic algorithm (GA) is developed and implemented.…”
Section: Literature Reviewmentioning
confidence: 99%
“…(e.g. Zwaneveld et al, 1996Zwaneveld et al, , 2001Caimi et al, 2011;Sun et al, 2014). Sun et al (2014) gives a short literature overview on routing problems in their paper.…”
Section: Routing Problemmentioning
confidence: 99%
“…Their works were extended to many other cases. For example, Murtagh and Niwattisyawong (1982) proposed the capacitated LP, Leurent and Boujnah (2014) provided a novel network model for parking lot choice, Cook and Russell (1978) studied the stochastic routing and scheduling problem with time windows, Powell (1986) studied the dynamic VSP, Karuno and Nagamochi (2003) studied the multi-vehicle scheduling problem, and Sun et al (2014) put forward a multi-objective model for train routing problem combined with scheduling on high-speed railway network.…”
Section: Lp Vsp and Lspmentioning
confidence: 99%