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Applied Sciences
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Mathematical Methods, Models and Algorithms for Smart, Sustainable and Secure...
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Mathematical Methods, Models and Algorithms for Smart, Sustainable and Secure Mobility

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (31 July 2020) | Viewed by 6344

Special Issue Editors

Prof. Dr. Stefano De Luca

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Salerno Via Giovanni Paolo II, 132-84084 Fisciano, SA, Italy
Interests: transportation planning; simulation; analysis of functional and environmental efficiency of container terminals in urban areas using simulation models and design of innovative solutions; analysis and design of innovative solutions in the port environment (e.g., cold ironing, electrification of handling equipment, use of renewable energy systems)
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Luigi Pariota

E-Mail Website
Guest Editor
Civil Building and Environmental Department, University of Napoli Federico II, 80125 Napoli, Italy
Interests: transport management; intelligent transportation systems; cooperative connected automated mobility
Special Issues, Collections and Topics in MDPI journals
Prof. Roberta Di Pace

E-Mail Website
Guest Editor
Traffic flow modelling, Urban Traffic Control, Traffic Management, Intelligent Transportation Systems, travel demand modelling
Interests: traffic flow modelling; urban traffic control; traffic management; intelligent transportation systems; travel demand modelling

Special Issue Information

Dear Colleagues,

Transportation engineering is a broad disciplinary research field in applied sciences that studies various and numerous problems related to the planning, design, management, and control of transportation systems. In this context, several problems can be formulated and solved with mathematical, statistical, optimization, and technological tools; this research field is often multidisciplinary, involving physics, mathematical, environmental, energetic, and human behavioral aspects.

This Special Issue wants to contribute to this wide research field, urging submissions of high-quality papers in the following topics:

Transport modeling and control

Demand modeling and travel behavior
Model calibration and simulation
Dynamic network modeling
Simulation and optimization of transportation systems
Control and management of transportation systems
Traffic flow modeling and short-term predictions
Vehicle routing and route planning
Human factors, minds, and cognition
Energy consumption and emission modeling

Transportation Planning and operation

Rail operations and management
Public transport
Multimodal transportation and terminals
Airport and air transport operations
Port and maritime operations
City logistics
Land use and transport interactions

Innovative services

Mobility as a Service
Smart cities and smart mobility
Urban mobility innovations
Shared mobility
Data collection methods for passenger and freight

Innovative technologies

Interoperability and interconnection of transport systems
Automated and intelligent Vehicles
ITS and big data
Traveler information systems
Connected Freight Electromobility
Applications of IoT to transportation

Prof. Stefano De Luca
Prof. Luigi Pariota
Prof. Roberta Di Pace
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 Sciences 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 2400 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.

Keywords

  • Keywords: supply models
  • demand models
  • simulation of transportation systems
  • transportation system performance
  • transportation network design problem
  • optimization problems for transportation systems
  • freight transportation
  • intelligent transportation systems (ITS)

Published Papers (2 papers)

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Research

22 pages, 2997 KiB  
Article
A Methodology for Increasing Convergence Speed of Traffic Assignment Algorithms Based on the Use of a Generalised Averaging Function
by Marilisa Botte, Mariano Gallo, Mario Marinelli and Luca D’Acierno
Appl. Sci. 2020, 10(16), 5698; https://doi.org/10.3390/app10165698 - 17 Aug 2020
Cited by 2 | Viewed by 2014
Abstract
In this paper, we propose a generalisation of the Method of Successive Averages (MSA) for solving traffic assignment problems. The generalisation consists in proposing a different step sequence within the general MSA framework to reduce computing times. The proposed step sequence is based [...] Read more.
In this paper, we propose a generalisation of the Method of Successive Averages (MSA) for solving traffic assignment problems. The generalisation consists in proposing a different step sequence within the general MSA framework to reduce computing times. The proposed step sequence is based on the modification of the classic 1/k sequence for improving the convergence speed of the algorithm. The reduction in computing times is useful if the assignment problems are subroutines of algorithms for solving Network Design Problems—such algorithms require estimation of the equilibrium traffic flows at each iteration, hence, many thousands of times for real-scale cases. The proposed algorithm is tested with different parameter values and compared with the classic MSA algorithm on a small and on two real-scale networks. A test inside a Network Design Problem is also reported. Numerical results show that the proposed algorithm outperforms the classic MSA with reductions in computing times, reaching up to 79%. Finally, the theoretical properties are studied for stating the convergence of the proposed algorithm. Full article
(This article belongs to the Special Issue Mathematical Methods, Models and Algorithms for Smart, Sustainable and Secure Mobility)
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14 pages, 824 KiB  
Article
Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman
by Ahmad Alkharabsheh, Sarbast Moslem and Szabolcs Duleba
Appl. Sci. 2019, 9(22), 4759; https://doi.org/10.3390/app9224759 - 7 Nov 2019
Cited by 22 | Viewed by 3866
Abstract
The demand for a service includes generally two major components; quality elements and the reasonable and affordable price. Public transport can be considered as a special service, there is no direct market competition for the provider, but the use of private transport modes [...] Read more.
The demand for a service includes generally two major components; quality elements and the reasonable and affordable price. Public transport can be considered as a special service, there is no direct market competition for the provider, but the use of private transport modes substitutes the usage of public vehicles. The dominating competitor, the usage of private cars, causes higher CO2 emission and has a serious impact on the environment. Thus, it is important to analyze from market and sustainability point of view which are the preferences of the public for the improvement of the urban transport system. This paper aims to conduct this analysis by including quality criteria and transport fare criteria related to the current service of a city and by setting up and testing a generally applicable model for decision support. Since the acquisition of public preference was the primary objective, and the problem can be considered as decision making, the Analytic Hierarchy Process was selected as methodology. There are previous research results of applying this method on public transport, however, not in an integrated model, in which quality and cost considerations are pairwise compared. Thus, the conventional Analytic Hierarchy Process (AHP) technique was used and the well-proven requisites of consistency and sensitivity check were analyzed. The new model was tested in a case study: surveying the public transport demand in the capital of Jordan, Amman. Full article
(This article belongs to the Special Issue Mathematical Methods, Models and Algorithms for Smart, Sustainable and Secure Mobility)
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