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Sustainability
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Simulated Analysis of Sustainable Intelligent Transportation Solutions
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Simulated Analysis of Sustainable Intelligent Transportation Solutions

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

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 7499

Special Issue Editors

Prof. Dr. Stéphane Galland

E-Mail Website
Guest Editor
Laboratoire Connaissance et Intelligence Artificielle Distribuées (CIAD), Université de Technologie de Belfort-Montbéliard (Univ. Bourgogne Franche-Comté), Belfort, 90010, France
Interests: multiagent systems; agent-based simulation; Janus multi-agent platform; ASPECS agent-based methodology; Holonic systems; virtual life simulation; 3D and virtual reality; multilevel simulation; urban simulation; transport system simulation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ansar Yasar

E-Mail Website
Guest Editor
Transportation Research Institute (IMOB), Hasselt University, 3500 Hasselt, Belgium
Interests: ITS; vehicular networks; agent-based modeling; modeling and simulation; transportation behavior
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transportation system is a highly complex system that involves and influences the daily activities of each stakeholder. Targeted at improving the performance of transportation systems, the concept of an intelligent transportation system (ITS) has received increasing attention in both academic and industry arenas.

In ITS, the technologies supporting communications, sensing and surveillance mechanisms, and information and control systems are spread throughout the infrastructure. Their critical mission is to endorse the efficiency, safety, and sustainability of transportation networks that promote citizens' quality of life. This complex and multidisciplinary challenge requires a conceptual framework to guide the operations and to integrate systems, processes, tools, personnel, and data. In addition, a modular platform with proper modeling, simulating, and visualization capabilities is critical to understand the system-in-analysis, to support well-informed decisions, and to involve the general public in traffic and environmental issues.

This Special Issue is dedicated to exploring the most recent advances in the simulation of ITS solutions and their related technologies. We will also look at the effects of such systems on travelers’ behavior and system performances, including theoretical and applied research. Our scope is focused on (but not limited to) the following topics:

  1. AI applications in ITS;
  2. Connected technologies and autonomous driving;
  3. Sharing mobility and mobility-as-a-service systems;
  4. Modeling multi-modal transport network utilizing ITS;
  5. Application of ITS technologies for analyzing and controlling traffic flows;
  6. Low carbon transitions of transportation systems with ITS;
  7. Environmental evaluations of ITS;
  8. Evolution of ITS solutions to enable future mobility, such as UAVs/PAVs.

Prof. Dr. Stéphane Galland
Prof. Dr. Ansar-Ul-Haque Yasar
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 transportation system (ITS)
  • AI applications
  • autonomous driving
  • Low carbon transitions
  • Modeling
  • Environmental evaluations
  • Sharing mobility

Published Papers (3 papers)

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Research

15 pages, 1191 KiB  
Article
Increasing the Value of Shared Vehicles: Insights from an Implementation of User-Based Relocation in Station-Based One-Way Carsharing
by Alfred Benedikt Brendel, Sascha Lichtenberg, Christoph Prinz and Bernd Herrenkind
Sustainability 2020, 12(21), 8800; https://doi.org/10.3390/su12218800 - 23 Oct 2020
Cited by 4 | Viewed by 1967
Abstract
New digital technologies are a driving force behind many pivotal changes in our modern world. For example, the carsharing business model has improved drastically through the adoption of technologies for online booking, instant access, vehicle monitoring, and automated billing. However, the challenge of [...] Read more.
New digital technologies are a driving force behind many pivotal changes in our modern world. For example, the carsharing business model has improved drastically through the adoption of technologies for online booking, instant access, vehicle monitoring, and automated billing. However, the challenge of vehicle supply and demand management hinders carsharing from reaching its full potential and mainstream application. The current norm of relocating vehicles via employees is expensive and unsustainable, counteracting the environmental benefits of carsharing. To engage this problem, a new concept called user-based relocation has emerged in recent years. For user-based relocation, customers are requested to return rented vehicles at undersupplied locations. However, research and practice lack knowledge on how to implement user-based relocation in a real-world carsharing system. This study employs an iterative research approach, including the implementation of user-based relocation in a real-world carsharing system. During the development and evaluation process, novel requirements and challenges for user-based relocation were discovered, providing valuable knowledge for its implementation and future research. Full article
(This article belongs to the Special Issue Simulated Analysis of Sustainable Intelligent Transportation Solutions)
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13 pages, 510 KiB  
Article
Empowering Communications in Vehicular Networks with an Intelligent Blockchain-Based Solution
by Bacem Mbarek, Nafaa Jabeur, Tomás Pitner and Ansar-Ul-Haque Yasar
Sustainability 2020, 12(19), 7917; https://doi.org/10.3390/su12197917 - 24 Sep 2020
Cited by 3 | Viewed by 2031
Abstract
Blockchains have emerged over time as a reliable and secure way to record transactions in an immutable manner in a wide range of application domains. However, current related solutions are not yet capable of appropriately checking the authenticity of data when their volumes [...] Read more.
Blockchains have emerged over time as a reliable and secure way to record transactions in an immutable manner in a wide range of application domains. However, current related solutions are not yet capable of appropriately checking the authenticity of data when their volumes are huge. They are not also capable of updating Blockchain data blocks and synchronizing them within reasonable timeframes. This is the case within the specific context of Blockchain vehicular networks, where these solutions are commonly cumbersome when attempting to add new vehicles to the network. In order to address these problems, we propose in this paper a new Blockchain-based solution that intelligently implement selective communication and collaborative endorsement approaches to reduce communications between vehicles. Our solution represents the vehicles of the Blockchain as intelligent software agents with a Belief–Desire–Intention (BDI) architecture. Furthermore, we propose an approach based on multi-endorsement levels to exchange data of varying sensitive categories. This approach, which is based on endorsing scores, is also used to shorten the admission of new vehicles into the Blockchain. We run simulations using the Hyperledger Fabric Blockchain tool. Results show the efficiency of our solution in reducing the processing times of transactions within two different scenarios. Full article
(This article belongs to the Special Issue Simulated Analysis of Sustainable Intelligent Transportation Solutions)
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15 pages, 1766 KiB  
Article
Evaluating Active Traffic Management (ATM) Strategies under Non-Recurring Congestion: Simulation-Based with Benefit Cost Analysis Case Study
by Siham G. Farrag, Fatma Outay, Ansar Ul-Haque Yasar and Moulay Youssef El-Hansali
Sustainability 2020, 12(15), 6027; https://doi.org/10.3390/su12156027 - 27 Jul 2020
Cited by 9 | Viewed by 2974
Abstract
Dynamic hard shoulder running and ramp closure are two active traffic management (ATM) strategies that are used to alleviate highway traffic congestion. This study aims to evaluate the effects of these two strategies on congested freeways under non-recurring congestion. The study’s efforts can [...] Read more.
Dynamic hard shoulder running and ramp closure are two active traffic management (ATM) strategies that are used to alleviate highway traffic congestion. This study aims to evaluate the effects of these two strategies on congested freeways under non-recurring congestion. The study’s efforts can be considered in two parts. First, we performed a detailed microsimulation analysis to quantify the potential benefits of these two ATM strategies in terms of safety, traffic operation, and environmental impact. Second, we evaluated the implementation feasibility of these two strategies. The simulation results indicated that the implementation of the hard shoulder showed a 50%–57% reduction in delay, a 41%–44% reduction in fuel consumption and emissions, and a 15%–18% increase in bottleneck throughput. By contrast, the implementation of ramp closure showed a 20%–34% decrease in travel time, a 6%–9% increase in bottleneck throughput, and an 18%–32% reduction in fuel consumption and emissions. Eventually, both strategies were found to be economically feasible. Full article
(This article belongs to the Special Issue Simulated Analysis of Sustainable Intelligent Transportation Solutions)
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