Feature Review Papers in ‘Transportation and Future Mobility’ Section

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 575

Special Issue Editors

Prof. Dr. David Fernández-Llorca
E-Mail Website
Guest Editor
Computer Engineering Department, University of Alcalá, 28805 Madrid, Spain
Interests: automated and autonomous vehicles; predictive perception and planning; human-vehicle interaction; trustworthy artificial intelligence; traffic behaviour; assistive intelligent transportation systems; digital twins for ITS
Special Issues, Collections and Topics in MDPI journals
School of Traffic and Transportation Engineering, Central South University, Changsha 410083, China
Interests: railway vehicle dynamics; vehicle structure analysis; passive safety; Prognostic and Health Management (PHM); acoustic metamaterials
Special Issues, Collections and Topics in MDPI journals
DICATECH, Polytechnic University of Bari, 70125 Bari, Italy
Interests: transportation and land use; spatial analysis; participatory transport planning; transport and social inclusion; geographic information systems; planning for accessibility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the Editorial Board Members of the section “Transportation and Future Mobility”, we are glad to announce the Special Issue “Feature Review Papers in ‘Transportation and Future Mobility’ Section”. This Special Issue aims to collect high-quality reviews, systematic reviews, and meta-analyses from the field of transportation.

Topics of interest include but are not limited to:

  • Intelligent transportation systems;
  • Traffic monitoring, modelling and control;
  • Urban and public transportation;
  • Air transportation;
  • Water transportation;
  • Rail transportation;
  • Freight and logistics;
  • Advanced driver assistance systems;
  • Automated and autonomous driving;
  • Vehicle safety and engineering systems;
  • Cooperative driving systems;
  • Human factors and human–machine interaction;
  • Sustainable transportation;
  • Transport and environment;
  • Electrified transportation systems;
  • Electric and hybrid vehicles;
  • Energy system for vehicles;
  • Privacy and security of transportation;
  • Artificial intelligence;
  • Decision and control systems;
  • Simulation and digital twins;
  • Internet of Things;
  • Intelligent mobility;
  • Big Data in future mobility;
  • Industry 4.0 in future mobility.

Prof. Dr. David Fernández-Llorca
Prof. Dr. Suchao Xie
Dr. Nadia Giuffrida
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

  • transportation
  • traffic
  • future mobility

Published Papers (1 paper)

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Review

26 pages, 2026 KiB  
Review
Prediction and Analysis of Airport Surface Taxi Time: Classification, Features, and Methodology
Appl. Sci. 2024, 14(3), 1306; https://doi.org/10.3390/app14031306 - 05 Feb 2024
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Abstract
Airport arrival and departure movements are characterized by high dynamism, stochasticity, and uncertainty. Therefore, it is of paramount importance to predict and analyze surface taxi time accurately and scientifically. This paper conducts a comprehensive review of existing studies on surface taxi time prediction [...] Read more.
Airport arrival and departure movements are characterized by high dynamism, stochasticity, and uncertainty. Therefore, it is of paramount importance to predict and analyze surface taxi time accurately and scientifically. This paper conducts a comprehensive review of existing studies on surface taxi time prediction and analysis. Firstly, the overall research framework of surface taxi time prediction and analysis is categorized from three perspectives: taxi time type, movement type, and modeling method. Then, focusing on the two means of taxi time analytical modeling and simulation modeling, the existing mainstream models and methods are categorized, and the main ideas and scope of application of the various methods are analyzed. Finally, the paper presents the future development direction of surface taxi time prediction prospects. The research results are aimed at providing basic support and methodological guidance for reducing the uncertainty in airport surface operation and enhancing the level of control and decision-making ability of airport surface operation. Full article
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