Advancements in Intelligent Transportation Systems (ITS) and Roadside Unit (RSU) Design: A Comprehensive Review


Abstract views: 654 / PDF downloads: 137

Authors

  • Mohammed. F Rashad University of mousl
  • Qutaiba I. Ali University of mousl

DOI:

https://doi.org/10.59287/ijanser.1534

Keywords:

Intelligent Transportation Systems (ITS), Roadside Unit (RSU) Design, V2I Communication, 5G Technology, IoT, Edge Computing, AI-driven Traffic Management, Smart City Integration, Future Transportation Prospects

Abstract

This conference paper provides a comprehensive review of the latest research trends in Intelligent Transportation Systems (ITS) and Roadside Unit (RSU) design. ITS and RSUs play a pivotal role in modern transportation infrastructure, facilitating safer, more efficient, and sustainable mobility. This paper highlights key developments, emerging technologies, and research directions within these domains. We delve into topics such as vehicle-to-infrastructure (V2I) communication, edge computing for RSUs, AI-driven traffic management, and the integration of 5G and IoT into ITS. By examining recent advancements, this paper aims to contribute to the ongoing discourse on the future of transportation systems.

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Author Biographies

Mohammed. F Rashad, University of mousl

Departmentof Computer Engineering ,  Iraq

Qutaiba I. Ali, University of mousl

Departmentof Computer Engineering ,  Iraq

References

Olga KATERNA INTELLIGENT TRANSPORT SYSTEM: THE PROBLEM OF DEFINITION AND FORMATION OF CLASSIFICATION SYSTEM, 2019.

Tanya Garg, and Gurjinder Kaur, A Systematic Review on Intelligent Transport Systems,2022.

Salvatore Trubia , Alessandro Severino, Salvatore Curto, Fabio Arena and Giovanni Pau , Smart Roads: An Overview of What Future Mobility Will Look Like,2020.

Damilola Oladimeji , Khushi Gupta, Nuri Alperen Kose , Kubra Gundogan , Linqiang Ge and Fan Liang , Smart Transportation: An Overview of Technologies and Applications,2023.

Aditi Zear, Pradeep Kumar Singh* and Yashwant Singh, Intelligent Transport System: A Progressive Review,2016.

US Department of Transportation (2022). Intelligent Transportation Systems: Benefits and Opportunities. [Online] Available at: https://www.its.dot.gov/.

Divya Gangwani and Pranav Gangwani, Applications of Machine Learning and Artificial Intelligence in IntelligentTransportation System: A Review,2021.

5G Automotive Association (2023). 5G for Smart Mobility: A White Paper. [Online] Available at: https://5gaa.org/5gaa-releases-white-paper-on-making-5g-proactiveand-predictive-for-the-automotive-industry/.

Massive traffic experiment pits machine learning against ‘phantom’ jams By Kara Manke (2022) [Online] Available at: https://news.berkeley.edu/2022/11/22/massivetraffic-experiment-pits-machine-learning-against-phantom-jams.

Ali Gohar and Gianfranco Nencioni, The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System,2021.

U. S. Department of Transportation Intelligent Transportation Systems Joint Program Office, Developing Traffic Signal Control Systems Using the National ITS Architecture,1998.

Phil Caruso,(2016) Electronic Toll Systems: Connectivity, Convenience, and . . . Collections? [Online] Available at: https://d3.harvard.edu/platformrctom/submission/electronic-toll-systems-connectivity-convenienceand-collections.

U.S. Department of Transportation,( 2023 Update), HISTORY OF INTELLIGENT TRANSPORTATION SYSTEMS.

Intelligent Transportation Systems Field Operational Test Cross-Cutting Study, Advanced Traveler Information Systems, Prepared for: U.S. Department of Transportation Federal Highway Administration Washington, D.C. , Booz·Allen & Hamilton Highway,& Vehicle Technology Group McLean, Virginia,1998.

US Department of Transportation (2019). Vehicle-tovehicle communication [Online] Available at: https://www.nhtsa.gov/technology-innovation/vehicle-vehiclecommunication.

Siam Ahmed , Get to know vehicle to infrastructure communication, (2019) [Online]. Available at: https://www.geotab.com/blog/vehicle-to-infrastructurecommunication/.

Abderrahim Guerna, Salim Bitam and Carlos T. Calafate , Roadside Unit Deployment in Internet of Vehicles Systems: A Survey,2022.

M. Chowdhury, Kakan C. Dey, Intelligent Transportation Systems-A Frontier for Breaking Boundaries of Traditional Academic Engineering

Disciplines [Education],2016.

F. Zhu, Yisheng Lv, Yuan-yuan Chen, Xiao Wang, Gang Xiong, Feiyue Wang, Parallel Transportation Systems: Toward IoT-Enabled Smart

Urban Traffic Control and Management,2020.

M. Peyman, P. Copado, R. D. Tordecilla, L. D. C. Martins, F. Xhafa, A. Juan, Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems,2021.

Ahmed Y. Awad, S. Mohan, Internet of Things for a Smart Transportation System,2019.

B. V. Sundawa, A. Amelia, Ida Susanti, Design of Roadsite Unit (RSU) Based On ESP32 for Vehicle to Infrastructure (V2I) Communication System,2019.

Haleem Farman,Zahid Khan, Bilal Jan, W. Boulila, Shabana Habib, A. Koubâa, Smart Transportation in Developing Countries: An Internet ofThings-Based Conceptual Framework for Traffic Control,2019.

R. Dlugosz, M. Banach, K. Kubiak, Positioning Improving of RSU Devices Used in V2I Communication in Intelligent Transportation System,2019.

Muath Altuijary , An Overview of Vehicle-toInfrastructure Communication Technology,2020.

Maanak Gupta, James Benson, Farhan Patwa, Ravi Sandhu, Secure V2V and V2I Communication in Intelligent Transportation using Cloudlets,2020.

Fabio Arena, G. Pau, An Overview of Vehicular Communications,2019.

M. Eder, M. Wolf, V 2 X communication overview and V 2 I traffic light demonstrator,2017.

Paras Kumar, Kunwar Babar Ali, Intelligent Traffic System using Vehicle to Vehicle (V2V) & Vehicle to Infrastructure (V2I) communication based on Wireless Access in Vehicular Environments (WAVE) Std,2022.

Tibor Petrov,Peter Pocta andTatiana Kovacikova, Benchmarking 4G and 5G-Based Cellular-V2X for Vehicle-to-Infrastructure Communication and Urban Scenarios in Cooperative Intelligent Transportation Systems,2022.

Muhammad Naeem Tahir, Pekka Leviäkangas, and Marcos Katz, Connected Vehicles: V2V and V2I Road Weather and Traffic Communication Using Cellular Technologies,2022.

V. N. Shchukina, DESIGNING A FAULT FINDING ALGORITHM FOR REMOTE DIAGNOSTICS,2022.

Mujahid Muhammad , Ghazanfar Ali Safdar, 5G-based V2V broadcast communications: A security perspective,2021.

D. Anushya, Vehicle Monitoring for Traffic Violation Using V2I Communication,2018.

K. Suganthi, M. Arun Kumar, N. Harish, S. HariKrishnan, G. Rajesh and S. Sofana Reka, Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability,2023.

Sushruta Mishra, Shikha Patel, Amiya Ranjan Panda, B. K. Mishra , Exploring IoT-Enabled Smart Transportation System,2019.

Toubi Ayoub, T. Mazri, Security Challenges in V2I Architectures and Proposed Solutions,2018.

Isna Yaumirrahma Saniyyah, Mike Yuliana, Amang Sudarsono, Analysis of Key Generation Which Extracted from RSS for Handover System in V2I Communication,2021.

Mingmin Liu, Jiayong Liang, Wenxue He, Yanmei Jing, Huafu Li, The Influence of Terrain on Propagation Loss of V2I Network in High Altitude Mountainous Area,2021.

Yong Liao, Zhirong Cai, Guodong Sun, Xiaoyi Tian, Yuanxiao Hua, Xiaoheng Tan , Deep Learning Channel Estimation Based on Edge Intelligence for NRV2I,2022.

Wazir Zada Khan , Ejaz Ahmad , Saqib Haka , Ibrar Yaqoob , Atif Ahmed, Edge computing: A survey,2019.

N. Hassan, S. Gillani, E. Ahmed, I. Yaqoob, M. Imran, The role of edge computing in internetof things, IEEE Communications Magazine (99) (2018) 1-6.

M. Liu, F. R. Yu, Y. Teng, V. C. Leung, M. S ong,Distributed resource allocation in

blockchain-based video streaming systems with mobile edge computing, IEEE Transactionson Wireless Communications 18 (1) (2019) 695-708.

Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, Lanyu Xu, Edge Computing: Vision and Challenges,2016.

G. Carvalho, B. Cabral, Vasco Pereira, Jorge Bernardino , Edge computing: current trends, research challenges and future directions,2021.

G. Carvalho, B. Cabral, Vasco Pereira, Jorge Bernardino,Edge computing: current trends, research challenges and future directions,2021.

Rongbo Zhang, Kaiyu Cai, The Application of Edge Computing in High-Definition Maps Distribution,2020.

Quy Nguyen Minh, Van-Hau Nguyen, V. K. Quy, L. Ngoc, A. Chehri, Gwanggil Jeon, Edge Computing for IoT-Enabled Smart Grid: The Future of Energy,2022.

Feng Wang, Dingde Jiang, Sheng Qi, Chen Qiao, H. Song, Fine-Grained Resource Management for Edge Computing Satellite Networks,2019.

Qiong Wu, Yu Zhao, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Cui Zhang, Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning,2022.

Lei Liu1 · Chen Chen · Qingqi Pei · Sabita Maharjan · Yan Zhang Vehicular Edge Computing and Networking: A Survey,2020.

Priyadarshan Patil, Machine Learning for Traffic Management in Large-Scale Urban Networks: A Review,2019.

Samah A. Gamel, Ahmed I. Saleh, and Hesham A. Ali, Machine learning-based traffic management techniques for intelligent transportation system: Review,2021.

Asma Ait Ouallanea, Ayoub Bahnassea,b, Assia Bakalia, Mohamed Taleaa, Overview of Road Traffic Management Solutions based on IoT and AI ,2021.

S. El Hamdani and N. Benamar, “A Comprehensive Study of Intelligent Transportation System Architectures for Road Congestion Avoidance,” in Ubiquitous Networking, Cham, 2017, pp. 95–106. doi: 10.1007/978-3-319-68179-5_9.

J. Assbeihat, Al-Balqa, Nosheen Rafi, MANAGEMENT OF ARTIFICIAL INTELLIGENCE TRAFFIC SYSTEMS IN SMART CITIES,2021.

Gouse Pasha Mohammed, Naif Alasmari, Hadeel Alsolai, Saud S. Alotaibi, Najm Alotaibi, Heba Mohsen, Autonomous Short-Term Traffic Flow Prediction Using Pelican Optimization with Hybrid Deep Belief Network in Smart Cities,2022.

Palwasha W. Shaikh, Mohammed El-Abd, M. Khanafer, K. Gao, A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem,2022.

Augustin Degas, Mir Riyanul Islam, C. Hurter, Shaibal Barua, Hamidur Rahman, M. Poudel, D. Ruscio, Mobyen Uddin Ahmed, S. Begum, Md Aquif Rahman, S. Bonelli, G. Cartocci, Gianluca di Flumeri, G. Borghini, F. Babiloni, P. Aricó , A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory,2022.

M. Mohammadi, A. Dideban, Asad Lesani, B. Moshiri, An Implementation of the AI-based Traffic Flow Prediction in The Resilience Control Scheme,2020.

Haiqiang Yang, Xinming Zhang, Zihan Li, J. Cui, Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data,2022.

C. Jacob, A. Hadayeghi, B. Abdulhai, B. Malone, Work Zone Traffic Management on Highways,2006.

Dai Li, B. de Schutter, Distributed Model-Free Adaptive Predictive Control for Urban Traffic Networks,2021.

R. Reddy, Luís Almeida, Miguel Gutiérrez Gaitán, P. Santos, E. Tovar, Sustainability Analysis of Complex Multi-Lane Intelligent Signalized Intersections,2022.

Gaurav Meena, Deepanjali Sharma, Mehul Mahrishi, Traffic Prediction for Intelligent Transportation System using Machine Learning,2020.

Muhammad Hassan, Asma Kanwal, M. Jarrah, Manas Pradhan, Arshad Hussain, Beenu Mago, Smart City Intelligent Traffic Control for Connected Road Junction Congestion Awareness with Deep Extreme Learning Machine,2022.

Muhammad Saleem, Sagheer Abbas, Taher M. Ghazal, Muhammad Adnan Khan, Nizar Sahawneh, Munir Ahmad, Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques,2022.

Rahul Anand and Smita Sankhe, Traffic Prediction for Intelligent Transportation Systems using Machine Learning,2022.

Zhang Lei, Shi Yigong, International Journal of Research Publication and Reviews,2023.

M. Kezia, K. AnusuyaA Comparative Study on Machine Learning Algorithms for Congestion Control in VANET,2022.

M. Cintra , A crise do trânsito em são paulo e seus custos, GVExecutivo 12 (2) (2013) 58–61 .

K.M. H. Allen, M. Stonehill, A summary of the proceedings from the United Nations climate change conference in Doha, Qatar, and their significance for the land transport sector, Copenhagen: bridging the gap (BTG) initiative, 2013.

W.T.J. Texas Transportation Institute, D.L. Schrank 2015 urban mobility score- card, mobility report, 2015.

Geraldo P. Rocha Filho , Rodolfo I. Meneguette , JoséR. Torres Neto , Alan Valejo , Li Weigang , JóUeyama , Gustavo Pessin , Leandro A. Villas, Enhancing intelligence in traffic management systems to aid in vehicle traffic congestion problems in smart cities,2020.

Sita Rani, Ram Krishn Mishra, Mohammed Usman, Aman Kataria, Pramod Kumar, P. Bhambri, A. Mishra, Amalgamation of Advanced Technologies for Sustainable Development of Smart City Environment: A Review,2021.

Bhagya Nathali Silva, Murad Khan, Changsu Jung, Jihun Seo, Diyan Muhammad Jihun Han Yongtak Yoon and Kijun Han, Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics,2018.

M. Doran, S. Daniel, Geomatics and Smart City: A transversal contribution to the Smart City development,2014.

K. Chin, Singapore perspective: smart mobility,2020.

Fiona Chang, Diganta Das, Smart Nation Singapore: Developing Policies for a Citizen-Oriented Smart City Initiative,2020.

Umesh Kumar Lilhore Agbotiname Lucky Imoize Chun-Ta Li Sarita Simaiya Subhendu Kumar Pani Nitin Goyal Arun Kumar and Cheng-Chi Lee, Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities,2022.

Khushboo Chaurasia, Dilesh Shahare, Nikhita Ramteke, Priya Kanekar, S. Dewagan, Payal Zade, Tushar S. Muratkar, A Review on Smart Parking Systems,2021.

Ki-Eun Nam, Myungkeun Park, IMPROVEMENT OF AN OPTIMAL BUS SCHEDULING MODEL BASED ON TRANSIT SMART CARD DATA IN

SEOUL,2018.

Arman Saeidi, S. Aghamohamadi-Bosjin, M. Rabbani, An integrated model for management of hazardous waste in a smart city with a sustainable approach,2020.

Agachai Sumalee , Hung Wai Ho , Smarter and more connected: Future intelligent transportation system,2018.

Beatriz L. Boada, Special Issue "Intelligent Transportation Systems (ITS)",2020.

Mădălin-Dorin Pop; Jitendra Pandey; Velmani Ramasamy, Future Networks 2030: Challenges in Intelligent Transportation Systems,2020.

Dalton Hahn; Arslan Munir; Vahid Behzadan, Security and Privacy Issues in Intelligent Transportation Systems: Classification and Challenges,2019.

US Department of Transportation (2022). Public Roads [Online] Available at: https://highways.dot.gov/publicroads/spring-2022

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Published

2023-10-08

How to Cite

Rashad, M. F., & Ali, Q. I. (2023). Advancements in Intelligent Transportation Systems (ITS) and Roadside Unit (RSU) Design: A Comprehensive Review. International Journal of Advanced Natural Sciences and Engineering Researches, 7(9), 209–221. https://doi.org/10.59287/ijanser.1534

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