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Optimization of Intelligent Transport Systems Planning Energy Efficiency and Environmental Responsibility

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G1: Smart Cities and Urban Management".

Deadline for manuscript submissions: 18 June 2024 | Viewed by 952

Special Issue Editors


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Guest Editor
Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland
Interests: civil engineering; GIS analysis; ITS; mobility; QGIS; transportation; urban planning; travel behavior; traffic safety; transport planning and safety management
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego Str. 8, 40-019 Katowice, Poland
Interests: sustainable transport; electromobility; travel behavior; environmentally friendly transport solutions; traffic engineering; traffic flow measurement; analysis and prognosis; transport systems modeling; optimization of transport networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Energies, “Optimization of Intelligent Transport Systems Planning Energy Efficiency and Environmental Responsibility,” will consist of manuscripts describing problems and challenges for transport systems.

The modern approach to city planning generates new expectations for mobility. The geographic space is a kind of limited resource. Currently, dynamical changes in land-use are being observed. During that process, administrative units do not always prepare land-use planning while considering sustainable development. Vehicle numbers are increasing, as are the number of trips being made. This results from changes in people’s lifestyles, the habits created, and the increased convenience associated with personal transport. This development of individual transport, which contributes to the deterioration of road conditions (congestion), is harming the environment due to air and noise pollution and energy consumption and is causing the deterioration of residents’ health (due to increased use of personal transport).

To plan a modern transport system, it is necessary to plan it for citizens and design it around environmental friendliness and high accessibility. Transport systems should make optimal use of the available resources. Cities have limited space to build new roads and railways. The answer to the problem identified is the introduction of sustainable planning. One approach could be intelligent transport systems (supporting the development of public transport by prioritizing them). It is essential to take a holistic approach to the area to increase journeys made by public transport or eco-friendly mobility.

We invite all scientists and practitioners to submit articles related to modern solutions used for transport system planning. Ensuring the appropriate quality of its functioning is a big challenge facing smart cities. It requires a multicriteria approach, taking into account the principles of sustainable development. We hope that this Special Issue of Energies will be an opportunity to present the research results and exchange experiences.

Both original research and review works are welcome for submission. Research topics of interest include, but are not limited to, models and methods concerning:

  • Public transport optimization;
  • Introduction of electro-mobility infrastructure;
  • Spatial planning of electro-mobility infrastructure;
  • Transport development;
  • Sustainable mobility shaping and planning;
  • Information technologies in a public transport system;
  • Planning of intelligent transport systems;
  • Transit-oriented development strategies in urban areas;
  • Energy networks in smart cities;
  • Conventional, hybrid and electric drive systems;
  • Various communication environment and innovative new mobility service;
  • Safety in transport systems;
  • Autonomous vehicles and their impact for transport system;
  • The implementation of the MaaS integrating public transport systems.

Dr. Marcin Kłos
Dr. Grzegorz Sierpiński
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. Energies 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 2600 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

  • intelligent transport systems
  • transport systems
  • energy efficiency
  • spatial analysis
  • environmental responsibility
  • public transport
  • sustainable urban mobility
  • sustainable development
  • smart city
  • spatio-temporal analysis
  • urban planning

Published Papers (1 paper)

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Research

20 pages, 5623 KiB  
Article
Manifold Learning in Electric Power System Transient Stability Analysis
by Petar Sarajcev and Dino Lovric
Energies 2023, 16(23), 7810; https://doi.org/10.3390/en16237810 - 27 Nov 2023
Viewed by 554
Abstract
This paper examines the use of manifold learning in the context of electric power system transient stability analysis. Since wide-area monitoring systems (WAMSs) introduced a big data paradigm into the power system operation, manifold learning can be seen as a means of condensing [...] Read more.
This paper examines the use of manifold learning in the context of electric power system transient stability analysis. Since wide-area monitoring systems (WAMSs) introduced a big data paradigm into the power system operation, manifold learning can be seen as a means of condensing these high-dimensional data into an appropriate low-dimensional representation (i.e., embedding) which preserves as much information as possible. In this paper, we consider several embedding methods (principal component analysis (PCA) and its variants, singular value decomposition, isomap and spectral embedding, locally linear embedding (LLE) and its variants, multidimensional scaling (MDS), and others) and apply them to the dataset derived from the IEEE New England 39-bus power system transient simulations. We found that PCA with a radial basis function kernel is well suited to this type of power system data (where features are instances of three-phase phasor values). We also found that the LLE (including its variants) did not produce a good embedding with this particular kind of data. Furthermore, we found that a support vector machine, trained on top of the embedding produced by several different methods was able to detect power system disturbances from WAMS data. Full article
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