Smart City Gnosys

Smart city article details

Title	A Review Of Machine Learning And Iot In Smart Transportation
ID_Doc	4171
Authors	Zantalis F.; Koulouras G.; Karabetsos S.; Kandris D.
Year	2019
Published	Future Internet, 11, 4
DOI	http://dx.doi.org/10.3390/FI11040094
Abstract	With the rise of the Internet of Things (IoT), applications have become smarter and connected devices give rise to their exploitation in all aspects of a modern city. As the volume of the collected data increases, Machine Learning (ML) techniques are applied to further enhance the intelligence and the capabilities of an application. The field of smart transportation has attracted many researchers and it has been approached with both ML and IoT techniques. In this review, smart transportation is considered to be an umbrella term that covers route optimization, parking, street lights, accident prevention/detection, road anomalies, and infrastructure applications. The purpose of this paper is to make a self-contained review of ML techniques and IoT applications in Intelligent Transportation Systems (ITS) and obtain a clear view of the trends in the aforementioned fields and spot possible coverage needs. From the reviewed articles it becomes profound that there is a possible lack of ML coverage for the Smart Lighting Systems and Smart Parking applications. Additionally, route optimization, parking, and accident/detection tend to be the most popular ITS applications among researchers. © 2019 by the authors.
Author Keywords	Big data; Intelligent transportation systems; Internet of things; Machine learning; Smart city; Smart transportation

Similar Articles

Id	Similarity	Authors	Title	Published
3551	0.978	Sharma V.; Srivastava D.; Kumar L.; Payal M.	A Novel Study On Iot And Machine Learning-Based Transportation	Machine Learning Techniques and Industry Applications (2024)
4110	0.968	Mukhopadhyay S.; Kumar A.; Gupta J.; Bhatnagar A.; Kantipudi M.P.; Singh M.	A Review And Analysis Of Iot Enabled Smart Transportation Using Machine Learning Techniques	International Journal of Transport Development and Integration, 8, 1 (2024)
58554	0.917	Ouhmidou H.; Nabou A.; Ikidid A.; Bouassaba W.; Ouzzif M.; El Kiram M.A.	Traffic Control, Congestion Management And Smart Parking Through Vanet, Ml, And Iot: A Review	Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023 (2023)
35967	0.916	Yuan T.; Da Rocha Neto W.; Rothenberg C.E.; Obraczka K.; Barakat C.; Turletti T.	Machine Learning For Next-Generation Intelligent Transportation Systems: A Survey	Transactions on Emerging Telecommunications Technologies, 33, 4 (2022)
32177	0.912	Bhalodiya D.; Sarda J.; Garg D.; Yang T.; Rathore R.S.	Integration Of Iot And Machine Learning Models For Enhancing Efficiency In Smart Public Transportation Systems	Lecture Notes in Networks and Systems, 1293 (2025)
30638	0.903	Sabeer S.; Ali S.S.; Siddiqua A.; Anjum A.	Implementing Ml And Iot-Based Predictive Traffic-Management Systems For Smart Cities	2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences, IC3TES 2024 (2024)
51623	0.896	Oladimeji D.; Gupta K.; Kose N.A.; Gundogan K.; Ge L.; Liang F.	Smart Transportation: An Overview Of Technologies And Applications	Sensors, 23, 8 (2023)
8520	0.894	Shamitha C.; Radhika S.; Malathy K.; Ranjith S.; Sasirekha N.	An Intelligent Iot Enabled Traffic Queue Handling System Using Machine Learning Algorithm	Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 (2022)
19433	0.894	Al-Jawahry H.M.	Developing An Intelligent Traffic Management System For Smart Cities Through The Integration Of Machine Learning And Iot Technologies	Lecture Notes in Networks and Systems, 1306 LNNS (2025)
26305	0.893	Singh B.	Featuring Smart City Solutions With Machine Learning For Traffic Management, Object Detection, And Collision Avoidance In Autonomous Driving	Urban Mobility and Challenges of Intelligent Transportation Systems (2025)