A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis

Cavone, Graziana; Dotoli, Mariagrazia; Epicoco, Nicola; Seatzu, Carla

doi:10.1016/j.apm.2017.07.030

Cited by 44 publications

(22 citation statements)

References 27 publications

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“…The fuzzy data envelopment analysis (DEA) method was proposed to predict the results and efficiency of alternative control actions for train dispatchers to prevent potential disturbances on a railway line [33]. This nonparametric method analyzes the relative efficiency of decision-making units (DMUs) based on numerous inputs and outputs [34].…”

Section: Literature Reviewmentioning

confidence: 99%

Location Optimization of CR Express International Logistics Centers

Muravev

Zhou

et al. 2020

Symmetry

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Currently, the trade volume between China and the European Union is experiencing rapid growth. However, there are many bottlenecks in the operation of the China Railway Express, such as imbalance in inbound and outbound transported containers in the Sino–European direction and a low profit margin. More than fifty-three rail routes in China provide rail transportation to European cities and have small traffic volumes. However, such a dramatic situation affects transportation costs, which are three times higher compared with maritime transportation, causing uncertainty related to the demand of Chinese customers. This study analyzes the shortcomings of previous research studies related to multicriteria decision-making (MCDM) models applied in the field of logistics and transportation. The study proposes a novel approach to determine the optimal locations of the CR Express international logistics centers. The proposed approach involves the application of a MCDM model using the DEMATEL-MAIRCA method. This technique finds the closest solution to the ideal one by identifying the value of the best alternative in line with the observed criterion, and by measuring the distances of other alternatives according to the observed criterion of the ideal value. Finally, we show the similarity of the proposed methodology to other MCMD methods, which is one of the key topics of the Symmetry Journal, to prove the validity of the applied DEMATEL-MAIRCA method. Preliminary results show that in view of increased container turnover between China and the European Union, the determination of optimal locations for CR Express international logistics centers should be carried out dynamically.

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Section: Literature Reviewmentioning

confidence: 99%

Location Optimization of CR Express International Logistics Centers

Muravev

Zhou

et al. 2020

Symmetry

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“…This makes the road users' decision process simpler, since the traveller only needs to determine their destination instead of managing the whole transport process. The trip distribution optimization on the system level is controlled by the transport managing system, taking into account the necessary conditions to obtain the system optimum [13]. Considering the aim of the optimization process, the objective function includes the sum of products of traffic volumes of routes (partflows) and related travel times; taking also into account the unsatisfied transport demands (missed travels).…”

Section: Methodsmentioning

confidence: 99%

Comparing System Optimum-based and User Decision-based Traffic Models in an Autonomous Transport System

Pauer

Török

2019

PROMET

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The paper introduces a framework to perform the demand management and route planning tasks of a highly developed transport system managing scheme, assuming an autonomous transport system. Two types of autonomous transport system managing models have been introduced. In case of the first model, the assigned number of trips is assumed to be the modified variable related to the optimization problem. In case of the second model, the decision process is directly influenced by the travel prices defined by the optimization method. These approaches represent different demand management strategies. The first model aims to directly assign the incoming user demands to the system, while the second procedure lets the users make the decision. However, in the second case the system can strongly influence the users’ choices through the values of the travel prices. Accordingly, it seems to be a reasonable assumption that the firstly presented model has significantly higher efficiency in distributing the load on the network. On the other hand, the method of the second model would be much more tolerable and acceptable from a social point of view. Therefore, the aim of the paper is to introduce the developed models and to compare their efficiencies.

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“…That is the phenomenon normal trains are delayed by decelerating trains. Especially on highly congested railway lines, more trains could be delayed and more total train delay could be caused [6], resulting in the decrease of passenger satisfaction with railway services and the increase of operation costs of railway industry [7]. To handle the problem mentioned above, this paper proposes an adaptive rescheduling strategy to reschedule normal trains to overtake front decelerating trains by utilizing reverse direction tracks.…”

Section: Motivationmentioning

confidence: 99%

Dispatching High-Speed Rail Trains via Utilizing the Reverse Direction Track: Adaptive Rescheduling Strategies and Application

et al. 2019

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This paper studies the train rescheduling problem on high-speed railway corridor in the situation where contingencies occur and lead to sudden deceleration of some trains. First, we develop an adaptive rescheduling strategy (AR-S) which allows normal trains to use reverse direction track to overtake front decelerating trains based on delay comparison under different path choices. Second, the traditional rescheduling strategy (TR-S) which does not allow any trains to switch tracks is mentioned as a sharp contrast to AR-S. Furthermore, a performance evaluation criterion is designed to evaluate the effectiveness of the train rescheduling approaches. Finally, numerical experiments carried out on Beijing-Tianjin intercity high-speed railway show that AR-S can reduce the total delay of trains up to 24% in comparison with TR-S.

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A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis

Cited by 44 publications

References 27 publications

Location Optimization of CR Express International Logistics Centers

Location Optimization of CR Express International Logistics Centers

Comparing System Optimum-based and User Decision-based Traffic Models in an Autonomous Transport System

Dispatching High-Speed Rail Trains via Utilizing the Reverse Direction Track: Adaptive Rescheduling Strategies and Application

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