EURO Journal on Transportation and Logistics
Call for Papers
Special Issue: Large-Scale Optimization
Guest Editors: Dr. Shadi Sharif Azadeh, Dr. Nursen Aydin
- Deadline for submission: December 15, 2021
1. Aim and Scope
Transport and logistics systems include a range of activities that deal with all sorts of decisions and operations from vehicle routing and scheduling to distribution of passengers and products in different regions. One of the main challenges for transport operators is to deal with large-scale problems at minimal cost while satisfying the needs of service users. Operators aim at solving these large-scale problems in a computationally efficient way. In recent years, with the increase of demand, this task has become more challenging. However, incorporating advanced technologies provides the operators with large-scale data sets that can potentially pave the path for improving the already existing models. Like traffic management, data-driven optimization methods have found their way in the field of transport and logistics. Therefore, there is an increasing need to introduce computationally efficient algorithms that are motivated by available large-scale data to solve these traditional problems.
This Special Issue aims to invite researchers who can offer novel data-driven efficient algorithms covering a range of methods (optimization, simulation, data-driven heur and data analytics) to tackle large-scale transport and logistics problems. We encourage the participation of researchers proposing new applications and methods to incorporate large scale data set to design efficient algorithms for large-scale problems.
Potential topics include but not limited to:
- Data-driven heuristic methods for transport and logistics
- Incorporating emerging technologies in large-scale optimization problems
- Real-time operations for large scale problems
- New transport and logistics applications and models for integrating optimization with data analytics
2. Submission Guidelines
The deadline for submissions is 15th of December 2021. Submitted papers should be original and should have not been previously published or currently considered for publication elsewhere. The manuscript should be prepared according to the Guide for Authors available at:
All manuscripts should be submitted electronically using the journal's online manuscript submission system at:
https://www.editorialmanager.com/jtl/default.aspx
When prompted for the article type, please select "SI: Large-Scale Optimization";.
On the Attach Files screen, please submit the Manuscript, Highlights, Cover Letter summarizing the contributions of the paper, and Conflict of Interest Declaration. Template available at
https://service.elsevier.com/app/answers/detail/a_id/286/supporthub/publishing/
In the review preferences screen, you may suggest potential reviewers for this submission and provide specific reasons for your suggestion in the comments box for each person.
3. Important Dates
Submission deadline: 15 December 2021
Notification of the first-round review (for guidance only): 15 April 2022
Revised submission due (for guidance only): 15 June 2022
Final notice of acceptance/reject (for guidance only): 15 August 2022
Papers will be subject to a review process managed by the Guest Editors. The primary acceptance criteria for submission are the quality and originality of the research, the paper's analytical contributions, and the relevance of the research topic.
Early submission is encouraged. The referee process will start upon submission of the paper. Accepted papers will be published individually online as they are accepted, before print publication. All inquiries concerning the submission to the special issue will be addressed directly by the Guest Editors.
Guest Editors:
Dr. Shadi Sharif Azadeh, TU Delft, Civil Engineering and Geosciences, Department Transport & Planning, Stevinweg 1, 2628 CN Delft, The Netherlands.
Email: Shadi Sharif Azadeh
Dr. Nursen Aydin, Warwick Business School, The University of Warwick, Coventry, CV4 7AL, UK.
Email: Nursen Aydin
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 International License and the GNU Free Documentation License (unversioned, with no invariant sections, front-cover texts, or back-cover texts).
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