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Future Internet
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IoT in Intelligent Transportation Systems
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IoT in Intelligent Transportation Systems

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 10513

Special Issue Editor

Dr. Hamada Alshaer

E-Mail Website
Guest Editor
Electronic & Electrical Engineering Department, LiFi R&D Centre, University of Strathclyde, Glasgow, UK
Interests: vehicular communications; Internet of Things; automated intelligent mobile and wireless communication systems; SDN; wireless network slicing; visible light communications; small cell networks; edge computing; 5G core networks

Special Issue Information

Dear Colleagues,

With the development of information and communication technologies, intelligent transportation systems have seen significant progress. Novel technologies, such as the Internet of Things (IoT), artificial intelligence, machine learning, and advanced automation, are providing solutions to the transport industry. The developed solutions have a clear potential to support groundbreaking applications, challenging the contemporary ideas of transport systems.

This Special Issue aims to provide advances in these topics, providing insight into the technologies that are transforming people’s lives. The topics covered include but are not limited to the following:

  • Vehicle to Everything (V2X): Vehicle to Pedestrian (V2P), Vehicle to Vehicle (V2V), vehicular ad hoc networks (VANETs), Vehicle to Infrastructure (V2I), and Internet of Vehicles (IoV);
  • Intelligent traffic lights management systems;
  • Autonomous and connected vehicles;
  • Intelligent traffic control systems;
  • IoT analytics for reliable and real-time vehicular communications;
  • IoT and edge computing for vehicular applications and 5G services provisioning to users on-board;
  • IoT for data communications coordination between terrestrial and non-terrestrial transport systems;
  • IoT for seamless urban and city transport connection;
  • IoT for cybersecurity in vehicular communications.

Dr. Hamada Alshaer
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. Future Internet is an international peer-reviewed open access monthly 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 1600 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.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

17 pages, 2171 KiB  
Article
IoT-Based System for Improving Vehicular Safety by Continuous Traffic Violation Monitoring
by Yousef-Awwad Daraghmi, Mamoun Abu Helou, Eman-Yasser Daraghmi and Waheeb Abu-ulbeh
Future Internet 2022, 14(11), 319; https://doi.org/10.3390/fi14110319 - 2 Nov 2022
Cited by 5 | Viewed by 3650
Abstract
The violation traffic laws by driving at high speeds, the overloading of passengers, and the unfastening of seatbelts are of high risk and can be fatal in the event of any accident. Several systems have been proposed to improve passenger safety, and the [...] Read more.
The violation traffic laws by driving at high speeds, the overloading of passengers, and the unfastening of seatbelts are of high risk and can be fatal in the event of any accident. Several systems have been proposed to improve passenger safety, and the systems either use the sensor-based approach or the computer-vision-based approach. However, the accuracy of these systems still needs enhancement because the entire road network is not covered; the approaches utilize complex estimation techniques, and they are significantly influenced by the surrounding environment, such as the weather and physical obstacles. Therefore, this paper proposes a novel IoT-based traffic violation monitoring system that accurately estimates the vehicle speed, counts the number of passengers, and detects the seatbelt status on the entire road network. The system also utilizes edge computing, fog computing, and cloud computing technologies to achieve high accuracy. The system is evaluated using real-life experiments and compared with another system where the edge and cloud layers are used without the fog layer. The results show that adding a fog layer improves the monitoring accuracy as the accuracy of passenger counting rises from 94% to 97%, the accuracy of seatbelt detection rises from 95% to 99%, and the root mean square error of speed estimation is reduced from 2.64 to 1.87. Full article
(This article belongs to the Special Issue IoT in Intelligent Transportation Systems)
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21 pages, 516 KiB  
Article
A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior
by Taghreed Alghamdi, Sifatul Mostafi, Ghadeer Abdelkader and Khalid Elgazzar
Future Internet 2022, 14(10), 294; https://doi.org/10.3390/fi14100294 - 15 Oct 2022
Cited by 14 | Viewed by 6225
Abstract
The significant advancements in intelligent transportation systems (ITS) have contributed to the increased development in traffic modeling. These advancements include prediction and simulation models that are used to simulate and predict traffic behaviors on highway roads and urban networks. These models are capable [...] Read more.
The significant advancements in intelligent transportation systems (ITS) have contributed to the increased development in traffic modeling. These advancements include prediction and simulation models that are used to simulate and predict traffic behaviors on highway roads and urban networks. These models are capable of precise modeling of the current traffic status and accurate predictions of the future status based on varying traffic conditions. However, selecting the appropriate traffic model for a specific environmental setting is challenging and expensive due to the different requirements that need to be considered, such as accuracy, performance, and efficiency. In this research, we present a comprehensive literature review of the research related to traffic prediction and simulation models. We start by highlighting the challenges in the long-term and short-term prediction of traffic modeling. Then, we review the most common nonparametric prediction models. Lastly, we look into the existing literature on traffic simulation tools and traffic simulation algorithms. We summarize the available traffic models, define the required parameters, and discuss the limitations of each model. We hope that this survey serves as a useful resource for traffic management engineers, researchers, and practitioners in this domain. Full article
(This article belongs to the Special Issue IoT in Intelligent Transportation Systems)
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