Smart City Gnosys

Smart city article details

Title	Using A Fuzzy Logic Integrated Machine Learning Algorithm For Information Fusion In Smart Parking
ID_Doc	60461
Authors	Maktoof M.A.J.; Jawad A.J.M.; Abd H.M.; Husain A.; Majdi A.
Year	2023
Published	Fusion: Practice and Applications, 11, 1
DOI	http://dx.doi.org/10.54216/FPA.110109
Abstract	The free flow of people and products within metropolitan areas depends on well-managed transportation systems. However, public parking places in smart cities are often limited by traffic, causing cars and residents to waste time, money, and fuel. To counteract this issue, today's automobile systems combine information fusion with intelligent parking solutions. In this research, we present a Fuzzy Logic Integrated Machine Learning Algorithm (FL-MLA) for use in smart parking and traffic management in a metropolis. The FL-MLA use fuzzy induction to distinguish between parked and moving vehicles while calculating traffic flow. The suggested technique efficiently resolves the problem of locating suitable parking places by avoiding incorrect configurations that govern traffic management difficulties. Therefore, the FL-MLA is used in traffic management systems to boost performance metrics like efficiency ratio (98.1%) and accident detection (98.1%) based on simulation results like reduced energy consumption (95.3%), more accurate traffic estimation (97.9%), higher average daily park occupancy (97.2%), and higher efficiency ratio (98.1%). © 2023, American Scientific Publishing Group (ASPG). All rights reserved.
Author Keywords	Artificial neural network; Fuzzy controller; Information fusion; Information fusion; Smart parking; Smart transport system; Traffic management

Similar Articles

Id	Similarity	Authors	Title	Published
27581	0.903	Sumini M.V.; Mulerikkal J.; Ramkumar P.B.; Tharakan P.	Fuzzy Concepts And Machine Learning Algorithms For Car Park Occupancy And Route Prediction	Lecture Notes in Networks and Systems, 120 (2020)
32479	0.895	Errousso H.; Alaoui E.A.A.; Benhadou S.; Nayyar A.	Intelligent Parking Space Management: A Binary Classification Approach For Detecting Vacant Spots	Multimedia Tools and Applications, 84, 8 (2025)
7088	0.894	Shalini M.K.; Hanumanthappa J.; Santhosh Kumar K.S.; Shiva Prakash S.P.	Ai-Powered Hybrid Smart Parking: Optimizing Parking Management Across Diverse Applications In Smart Cities	Procedia Computer Science, 258 (2025)
36188	0.882	Miao L.	Making Smart Parking Decisions: A Driver'S Perspective	Proceedings - 2019 4th International Conference on Computational Intelligence and Applications, ICCIA 2019 (2019)
51290	0.88	Abo-Zahhad M.M.; Abo-Zahhad M.	Smart Parking System In Smart Cities Based On The Internet Of Things And Machine Learning	2024 International Telecommunications Conference, ITC-Egypt 2024 (2024)
32480	0.88	Bante K.; Bawankule S.; Dhule C.; Agrawal R.; Kumbhare K.	Intelligent Parking Systems Design Using Iot And Ai	2024 International Conference on Innovations and Challenges in Emerging Technologies, ICICET 2024 (2024)
4732	0.88	Anand D.; Singh A.; Alsubhi K.; Goyal N.; Abdrabou A.; Vidyarthi A.; Rodrigues J.J.P.C.	A Smart Cloud And Iovt-Based Kernel Adaptive Filtering Framework For Parking Prediction	IEEE Transactions on Intelligent Transportation Systems, 24, 3 (2023)
2778	0.878	Baranwal G.; Kumar D.; Vidyarthi D.P.	A Multi-Criteria Framework For Smart Parking Recommender System	2020 IEEE International Smart Cities Conference, ISC2 2020 (2020)
44321	0.874	Alghoniemy A.; Susko J.; Kahle D.; Saunders L.; Belsare P.; El-Tawab S.	Real-Time Cloud-Based Data Analysis Using Machine Learning For Smart Parking	2024 International Conference on Computer and Applications, ICCA 2024 (2024)
51296	0.87	Raj A.; Shetty S.D.	Smart Parking Systems Technologies, Tools, And Challenges For Implementing In A Smart City Environment: A Survey Based On Iot & Ml Perspective	International Journal of Machine Learning and Cybernetics, 15, 7 (2024)