2008
DOI: 10.1016/j.ejor.2006.10.065
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Optimization models for the single delay management problem in public transportation

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Cited by 51 publications
(15 citation statements)
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“…Metaheuristic and exact algorithms are the most commonly used algorithms to solve the problem of vehicle delays in order to minimize the PWT at the station, to minimize the total travel time and for defining an optimum schedule that minimizes the total delay of vehicles [44][45][46][47][48][49].…”
Section: Discussionmentioning
confidence: 99%
“…Metaheuristic and exact algorithms are the most commonly used algorithms to solve the problem of vehicle delays in order to minimize the PWT at the station, to minimize the total travel time and for defining an optimum schedule that minimizes the total delay of vehicles [44][45][46][47][48][49].…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, an exact solution algorithm is proposed that splits the problem into independent subproblems and solves them individually. Heilporn et al (2008) derive a variable reduction for the DM problem in Schöbel (2001). They model the DM problem in two versions by neglecting departure events and therefore reducing the number of decision variables.…”
Section: Macroscopic Deterministic Models [ ] + [ ]mentioning
confidence: 99%
“…We summarize the two MILP models and the valid inequalities presented in Heilporn et al (2008) and De Giovanni et al (2014).…”
Section: Basic Formulations and Valid Inequalitiesmentioning
confidence: 99%
“…• u p = d vp if all connections on path p ∈ P are maintained 0 otherwise. Assuming, without loss of generality, that the initial delay occurs at node 1, the MILP1 formulation is as follows (Heilporn et al 2008, De Giovanni et al 2014:…”
Section: Basic Formulations and Valid Inequalitiesmentioning
confidence: 99%