Intelligent Transportation Systems: Current Challenges and Future Directions

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 2246

Special Issue Editors


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Guest Editor
School of Electrical and Electronic Engineering, University College Dublin, D04 V1W8 Dublin, Ireland
Interests: high-performance computational models/algorithms for emerging wireless technologies in 5G/6G/THz wireless communications; intelligent transportation (air, ground, underground); underwater communications; industrial Internet of Things; biomedical sensing; healthcare applications

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Guest Editor
Zhejiang University-University of Illinois at Urbana Champaign Institute (ZJU-UIUC), Hangzhou 314406, China
Interests: wireless channel modeling; intelligent transportation; vehicular-to-vehicular communications; massive MIMO; mmWave

Special Issue Information

Dear Colleagues,

The paradigm of vehicular communication and networking systems is gaining momentum on a global scale. Intelligent transportation systems (ITSs) are receiving increasing attention in both academia and industry as a result of the rising demands for improved urban mobility, operation efficiency, and traffic safety. Intelligent transportation systems use advanced information and communication technologies, sensors, and electronics, as well as big data and artificial intelligence, to solve problems such as traffic congestion, transportation efficiency, environmental factors, etc. However, several challenges in the field of intelligent transportation remain, particularly in relation to autonomous driving, energy efficiency, scene understanding, localization and mapping, navigation and path planning, etc.

This Special Issue aims to exhibit and discuss current challenges as well as state-of-the-art technological developments and future directions in the theory, analysis, simulation, design, and optimization of transportation systems. Both original research articles and comprehensive reviews are welcome. Topics of interest include, but are not limited to, the following:

  • Regulation, standardization, and management in ITS;
  • Advanced sensing and wireless technologies for ITS;
  • Vehicle-to-everything (V2X) communications in ITS;
  • Vehicle localization, object tracking, and navigation;
  • Machine learning and artificial intelligence-based techniques for ITS;
  • Green and sustainable solutions for ITS.

Dr. Xingqi Zhang
Dr. Asad Saleem
Guest Editors

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Keywords

  • regulation, standardization, and management in ITS
  • advanced sensing and wireless technologies for ITS
  • vehicle-to-everything (V2X) communications in ITS
  • vehicle localization, object tracking, and navigation
  • machine-learning- and artificial-intelligence-based techniques for ITS
  • green and sustainable solutions for ITS

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Published Papers (1 paper)

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Research

22 pages, 14863 KiB  
Article
Road-Network-Based Event Information System in a Cooperative ITS Environment
by Kieun Lee, Dongwon Hong, Juhyun Kim, Dongkeun Cha, Hyunmin Choi, Jeongmin Moon and Changjoo Moon
Electronics 2023, 12(11), 2448; https://doi.org/10.3390/electronics12112448 - 29 May 2023
Cited by 3 | Viewed by 1254
Abstract
This study proposes and implements an intelligent transportation system (ITS)-based system that collects road event information via a vehicle’s on-board unit (OBU) and roadside unit (RSU), integrates and processes information based on the database and the road network, and provides information to vehicles. [...] Read more.
This study proposes and implements an intelligent transportation system (ITS)-based system that collects road event information via a vehicle’s on-board unit (OBU) and roadside unit (RSU), integrates and processes information based on the database and the road network, and provides information to vehicles. This system enables the collection of road unit information without calculating the exact location of event information recognized by the vehicle and facilitates duplicate processing of information recognized from multiple sources. This information can then be provided to other vehicles or road operators via apps or the web, enabling immediate response to emergency situations or changes in road conditions. To verify the practical applicability of this system, we developed a prototype and validated its functions through experiments. Using this system and methods, general drivers, autonomous vehicles, and infrastructure can cooperate in an ITS environment to recognize and propagate various road situations, contributing to the creation of safer and more efficient roads. Full article
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