Cluster Computing

, Volume 22, Supplement 2, pp 4927–4940 | Cite as

Carrying capacity and efficiency optimization model for freight train segment train

  • Pei WangEmail author
  • Xiaodong Zhang
  • Boling Han
  • Maoxiang Lang


With economic expansion having moderated to a “new normal” pace, supply structure of goods and competition state of logistics market has undergone major changes. In order to respond to these changes actively, China Railway Corporation has launched railway express freight block trains to meet with customers’ demands. However, traditional operation conditions require every freight block train fully loaded to make best of transportation capacity. This has caused a series of problems to freight block trains, such as uncertain departure time, unstable running frequency and so on, which cannot meet with the customers’ basic requirements for goods transport and logistics. So it is an urgent task to study the suitable cars’ number and running frequency of railway express freight block trains so as to reduce customers’ costs and increase China Railway Corporation’s profits. Therefore, this paper analyzes the calculation method of customers’ generalized transportation cost and profits of running a railway express freight block train. Then, an optimization model for cars’ number and running frequency of freight block trains is proposed. The objective functions of this model are the minimum general transportation costs of customers and the maximum profits of China Railway Corporation. The model constraints are about transportation capacity, railway freight stations’ operating capacity and so on. Taking railway express freight block trains operated between Beijing and Shanghai as an example, the cars’ number and running frequency are calculated which can effectively reduce customers’ cost and increase China Railway Corporation’s profits. The results can prove the feasibility of the model proposed in this paper.


Railway express freight block train Cars’ number in a train Running frequency Multi-objective optimization model Generalized transportation cost model 



The study is financially supported Scientific Research Project from National Railway Administration of P.R.C. (T17DJ00030), Projects for Science and Technology from China Railway Corporation (2016X007-B), Scientific Research Project from Standardization Administration of P.R.C. (No. 201510210-03).

Compliance with ethical standards

Conflict of interest

The authors declare that they do not have any commercial or associative interests that represent a conflict of interests in connection with this work.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Pei Wang
    • 1
    Email author
  • Xiaodong Zhang
    • 1
  • Boling Han
    • 2
  • Maoxiang Lang
    • 1
  1. 1.School of Traffic and TransportationBeijing Jiaotong UniversityBeijingChina
  2. 2.Transportation Bureau, China Railway CorporationBeijingChina

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