Advances in Mathematical Models and Computational Intelligence for Transportation System Planning and Management

Dear Colleagues,

Transportation systems play an essential role in supporting global trade and commodity circulation and motivate the sustainable socio-economic development of regions and countries. A well-organized and well-operated transportation system benefits both private and public organizations from various perspectives, including economics, efficiency, the environment, etc., and is thereby demanded by the entire world. Establishing such a transportation system depends on its effective planning and management at strategic, tactical and operational levels.

Mathematical models and computational intelligence provide solid solutions for transportation decision-makers to effectively optimize and analyze the planning and management problems at all levels, and they have been paid remarkable attention by practitioners and researchers. The need for and importance of their application is constantly increasing, since the relevant problems should balance various actors and stakeholders with different interests, interact with each other, deal with the complexity of transportation systems and yield large computational scales.

This Special Issue will contribute to the development and application of mathematical models and computational intelligence for solving varied transportation system planning and management problems at all levels, including but not limited to service network design problems, location problems, routing problems, scheduling problems, supplier selection problems, pricing problems and co-opetition problems. Studies related to transportation planning and management problems considering environmental sustainability or under uncertainty (fuzziness or stochasticity) are especially welcome. We look forward to providing a platform to discuss rigorous mathematical models that formulate transportation system planning and management problems and intelligent algorithms that can efficiently solve them.

Mathematical models can be linear/nonlinear programming models, mixed integer/integer programming models, deterministic/uncertain models, multi-objective optimization models, game theory models, etc. Intelligent algorithms include but are not limit to heuristic algorithms, metaheuristic algorithms and hybrid algorithms. Cutting-edge machine learning algorithms are especially welcome. We also encourage the use of exact-solution algorithms and their comparison with intelligent algorithms. The simulation of transportation systems to support their optimization is also within the scope of this special issue. Their application and verification can cover both empirical cases and numerical cases. Moreover, we accept all kinds of tools that can realize their application.

We welcome both research articles and review articles on Advances in Mathematical Models and Computational Intelligence for Transportation System Planning and Management.

Dr. Yan Sun
Prof. Dr. Maoxiang Lang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied System Innovation is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• transportation system planning
• transportation system management
• transportation system operations
• optimization model
• game model
• intelligent algorithm
• system simulation