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Sustainability
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Open Urban Mobility for Efficient and Sustainable Transport
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Open Urban Mobility for Efficient and Sustainable Transport

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

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 5238

Special Issue Editors

Dr. Miroslav Vujić

E-Mail Website
Guest Editor
Department of Intelligent Transport Systems, Faculty of Transport and Traffic Sciences, University of Zagreb, Vukeliceva 4, HR-10000 Zagreb, Croatia
Interests: intelligent transport systems; cooperative systems; traffic control; ITS architecture; open data in traffic
Prof. Dr. Ivana Semanjski

E-Mail Website
Guest Editor
Department of Industrial Systems Engineering and Product Design, Ghent University, 9000 Ghent, Belgium
Interests: big data; smart cities; data quality; GPS; city logistics
Special Issues, Collections and Topics in MDPI journals
Dr. Martin Gregurić

E-Mail Website
Guest Editor
Department of Intelligent Transport Systems, Faculty of Transport and Traffic Sciences, University of Zagreb, Vukeliceva 4, HR-10000 Zagreb, Croatia
Interests: intelligent transport systems; traffic control; data science; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the number of citizens living in urban areas increases, so too does the demand for mobility on a daily basis. Existing infrastructure is struggling with the traffic demand, and pollutant emissions from traffic are increasing. One approach to mitigating the impact of traffic in urban areas is the implementation of intelligent transport system solutions and services such as intelligent traffic control, urban traffic information systems, encouraging the use of public transport, etc. Additionally, with the development of the concept of open data in traffic, it has become possible to produce, use and update existing traffic information (which must be made available to all users), thus improving urban mobility. Most traffic parameters can be improved with adaptive traffic control for intersections (including reducing average travel times, reducing queue lengths, and secondarily, reducing the emission of CO2, noise reduction, etc.). Therefore, this Special Issue aims to provide insight into new traffic concepts and ideas for making urban traffic systems more efficient and interesting with an emphasis on the improvement of the quality of alternative transport modes (such as public transport). With this aim in mind, we welcome original and/or review papers addressing the following topics:

  • Improvement of efficiency and safety of urban traffic network via intelligent control;
  • Data-driven analysis and improvement of public transport quality and sustainability;
  • Open data in urban traffic;
  • Smart city solutions;
  • Sustainable concepts in the urban traffic network;
  • Innovative ITS solutions based on open data;
  • Optimization and analysis of electrical and micro-mobility.

Dr. Miroslav Vujić
Prof. Dr. Ivana Semanjski
Dr. Martin Gregurić
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. 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

  • intelligent transport system
  • urban traffic control
  • open data in traffic
  • smart cities
  • sustainable traffic system

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Published Papers (4 papers)

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Research

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24 pages, 2611 KiB  
Article
Biometric Breakthroughs for Sustainable Travel: Transforming Public Transportation through Secure Identification
by Kristina Čižiūnienė, Margarita Prokopovič, Jurijus Zaranka and Jonas Matijošius
Sustainability 2024, 16(12), 5071; https://doi.org/10.3390/su16125071 - 14 Jun 2024
Cited by 1 | Viewed by 843
Abstract
This study investigates the use of biometric technology in public transit to improve trip safety and effectiveness. The incorporation of biometric technology into transit networks improves efficiency and security but also poses substantial challenges of privacy, standardisation, and public acceptability. Conducted via a [...] Read more.
This study investigates the use of biometric technology in public transit to improve trip safety and effectiveness. The incorporation of biometric technology into transit networks improves efficiency and security but also poses substantial challenges of privacy, standardisation, and public acceptability. Conducted via a poll of 25 specialists in Lithuania, the objective was to assess the level of acceptability and practicality of using biometric identification for both drivers and passengers. The results suggest a divided view about the specific demographic that biometric applications should target. However, there is agreement on the considerable potential of these technologies to enhance transportation safety. Face recognition has been the favoured approach due to its non-intrusive nature and simplicity of integration. The statistical research demonstrated significant positive correlations between different biometric approaches, indicating that a multimodal strategy is effective for providing full security coverage. The research highlights the significance of resolving privacy issues, emphasising that public acceptability depends on the open management and strong safeguarding of biometric data. The findings support the deliberate use of biometric technologies in sustainable public transportation, emphasising their ability to improve safety, optimise operations, and even revolutionise the passenger experience. This emphasises the equitable examination of technology, security, and privacy in the progress of sustainable public transportation systems. Biometric technology in public transport, especially for monitoring driver health and ensuring passenger safety, is supported by experts as a means to enhance service quality, reduce accidents, and optimize route planning. Full article
(This article belongs to the Special Issue Open Urban Mobility for Efficient and Sustainable Transport)
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16 pages, 582 KiB  
Article
Sustainable Urban Mobility for Road Information Discovery-Based Cloud Collaboration and Gaussian Processes
by Ali Louati, Hassen Louati, Elham Kariri, Wafa Neifar, Mohammed A. Farahat, Heba M. El-Hoseny, Mohamed K. Hassan and Mutaz H. H. Khairi
Sustainability 2024, 16(4), 1688; https://doi.org/10.3390/su16041688 - 19 Feb 2024
Cited by 3 | Viewed by 1172
Abstract
A novel cloud-based collaborative estimation framework for traffic management, utilizing a Gaussian Process Regression approach is introduced in this work. Central to addressing contemporary challenges in sustainable transportation, the framework is engineered to enhance traffic flow efficiency, reduce vehicular emissions, and support the [...] Read more.
A novel cloud-based collaborative estimation framework for traffic management, utilizing a Gaussian Process Regression approach is introduced in this work. Central to addressing contemporary challenges in sustainable transportation, the framework is engineered to enhance traffic flow efficiency, reduce vehicular emissions, and support the maintenance of urban infrastructure. By leveraging real-time data from Priority Vehicles (PVs), the system optimizes road usage and condition assessments, contributing significantly to environmental sustainability in urban transport. The adoption of advanced data analysis techniques not only improves accuracy in traffic and road condition predictions but also aligns with global efforts to transition towards more eco-friendly transportation systems. This research, therefore, provides a pivotal step towards realizing efficient, sustainable urban mobility solutions. Full article
(This article belongs to the Special Issue Open Urban Mobility for Efficient and Sustainable Transport)
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14 pages, 4094 KiB  
Article
The Impact of Unconditional Priority for Escorted Vehicles in Traffic Networks on Sustainable Urban Mobility
by Miroslav Vujić, Martin Gregurić, Luka Dedić and Daniela Koltovska Nečoska
Sustainability 2024, 16(1), 151; https://doi.org/10.3390/su16010151 - 22 Dec 2023
Cited by 1 | Viewed by 812
Abstract
Efficient traffic systems control in large cities, and the complex traffic management of signalized intersections is a challenging task, particularly when dealing with high traffic volumes. The city of Zagreb faces this challenge, as all administrative and governmental institutions are in the historic [...] Read more.
Efficient traffic systems control in large cities, and the complex traffic management of signalized intersections is a challenging task, particularly when dealing with high traffic volumes. The city of Zagreb faces this challenge, as all administrative and governmental institutions are in the historic part of the city, and routes for escorted vehicles have a significant impact on the traffic network. This paper addresses the issue of the impact of unconditional priority for escorted vehicles on the energy efficiency of the urban traffic network in the city of Zagreb. The traffic network model is developed using the PTV Vissim microsimulation software. The evaluation was conducted with nodes (delay, queue length, and number of stops) and network evaluation parameters (CO2 emission, NOx emission, PM10 emission, and fuel consumption). The results show that unconditional priority has minimal impact on energy consumption and exhaust emission in the observed scenario. This is a significant result considering all actions that must be undertaken to manage the passage of the escorted vehicles through the traffic network. Full article
(This article belongs to the Special Issue Open Urban Mobility for Efficient and Sustainable Transport)
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Review

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20 pages, 1713 KiB  
Review
An Advanced Driver Information System at Critical Points in the Multimodal Traffic Network
by Maja Tonec Vrančić, Pero Škorput and Krešimir Vidović
Sustainability 2024, 16(1), 372; https://doi.org/10.3390/su16010372 - 31 Dec 2023
Cited by 1 | Viewed by 1561
Abstract
Enhancing traffic safety is one of the fundamental objectives of Intelligent Transport Systems (ITS), and it aligns closely with the principles of sustainable transport. Due to specific differences in infrastructure, vehicles, and users’ behavior, places where different modes of traffic intersect are recognized [...] Read more.
Enhancing traffic safety is one of the fundamental objectives of Intelligent Transport Systems (ITS), and it aligns closely with the principles of sustainable transport. Due to specific differences in infrastructure, vehicles, and users’ behavior, places where different modes of traffic intersect are recognized as critical points of the traffic system, making them crucial areas for the implementation of Sustainable Urban Mobility Plans (SUMPs). The SUMPs aim to create urban mobility that is both environmentally friendly and safe for all users. The continuous development and widespread adoption of innovative ITS technologies have paved the way for a system that can provide drivers with real-time information about both immediate and potential dangers at these critical points. This paper presents a comprehensive review of prior research conducted in the field, investigating the impact of information systems on drivers’ behavior, various detection and communication solutions that can be effectively integrated into such a system, and a brief overview of the models and solutions that have been developed to warn drivers in a similar context. A review of the literature found that warning systems have a significant impact on driver behavior, which contributes to increased traffic safety. Furthermore, there are numerous solutions applicable to a multimodal environment. Yet, they mostly refer either to autonomous vehicles or require an additional unit of infrastructure for communication, which is not realistically applicable to the current state of traffic in most countries of the world. This paper proposes a system architecture framework for future research that would take advantage of widely available technologies and make the system accessible to different users in a multimodal environment. Full article
(This article belongs to the Special Issue Open Urban Mobility for Efficient and Sustainable Transport)
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