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Sustainability of the Intelligent Transportation System and Road Safety

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 1771

Special Issue Editor


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Guest Editor
Department of Automotive and Railway Engineering, Audi Hungaria Faculty, Széchenyi István University, H-9026 Győr, Hungary
Interests: mathematical modeling and analysis of traffic processes in large-scale non-linear road networks; modeling and optimization of complex; non-linear vehicle dynamic systems and analysis of stochastic effects; research and applications of logistic models
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Special Issue Information

Dear Colleagues,

This Special Issue aims to contribute to the planning and development of sustainable surface transport and vehicle systems with high-quality (Q1) level professional material.

With the booming development of emerging technologies such as e-cars, autonomous driving systems, and big data in the field of intelligent transportation, sustainable intelligent transportation systems have become an increasingly popular research topic, involving multiple fields such as road planning, logistics system design, intelligent driving, and traffic intelligence systems.

We provide a wide palette for publishing. In the practical field, we welcome all promising solutions that have been implemented or are being planned. The same broadly applies to the involvement of theoretical areas, without claiming to be complete, e.g.,

  • Discussion of new results related to the development and control of intelligent vehicles and sustainable intelligent traffic systems;
  • Presentation of new modelling and measurement methods related to planning and development;
  • Planning of non-linear complex traffic and vehicle dynamics systems;
  • Application of system equivalence;
  • Discussion of anomalies and modelling principles related to the design of complex road network systems;
  • New principle analysis of sustainable large-scale non-linear road network traffic processes (e.g., application of positive system class, etc.);
  • Presentation of various new results related to the development of sustainable intelligent logistics systems;
  • Analyses can also be directed at deterministic or stochastic systems.

Dr. Péter Tamás
Guest Editor

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. Sustainability 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

  • sustainability
  • sustainable transport systems
  • new principles in intelligent transport systems
  • traffic modelling
  • transport planning

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Published Papers (1 paper)

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Research

18 pages, 3256 KiB  
Article
Development of Motorway Horizontal Alignment Databases for Accurate Accident Prediction Models
by César De Santos-Berbel, Sara Ferreira, António Couto and António Lobo
Sustainability 2024, 16(17), 7296; https://doi.org/10.3390/su16177296 - 25 Aug 2024
Viewed by 1326
Abstract
The safe and efficient operation of highways minimizes the environmental impact, reduces accidents, and promotes the reliability of the transportation infrastructure, all in support of sustainable transportation. The horizontal alignment of highways holds particular importance as it directly impacts driver behavior, vehicle stability, [...] Read more.
The safe and efficient operation of highways minimizes the environmental impact, reduces accidents, and promotes the reliability of the transportation infrastructure, all in support of sustainable transportation. The horizontal alignment of highways holds particular importance as it directly impacts driver behavior, vehicle stability, and overall road safety. In many cases, highway inventory data held by infrastructure operators may contain inaccurate or outdated information. The accuracy of the variables used in crash prediction models eliminates possible bias in the variable estimators. This research proposes a methodology to obtain accurate horizontal geometric features from digital imagery based on the analysis of the planimetry, feature geolocation and centerline azimuth sequence. The reliability of the method is verified by means of numerical and statistical procedures. This methodology is applied to 150 km of motorway segments in Portugal. Although it is found that the geometric characteristics of most of the inventory segments closely matched the extracted alignments, very significant differences are found in some sections. The results of the proposed procedure are illustrated with several examples. Finally, the propagation of error in the determination of the geometric design independent variables in the fitting of the statistical models is discussed based on the results. Full article
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