Smart City Gnosys

Smart city article details

Title	Cloud Solutions For Smart Parking And Traffic Control In Smart Cities
ID_Doc	14436
Authors	Syamala M.; Malathi J.; Singh V.; Priya G.S.H.; Maheswari B.U.; Murugan S.
Year	2023
Published	Handbook of Research on AI and ML for Intelligent Machines and Systems
DOI	http://dx.doi.org/10.4018/978-1-6684-9999-3.ch008
Abstract	Urban mobility trends include 5G connectivity, autonomous vehicles, electric and sustainable modes, AI and machine learning, drones, and air mobility. These technologies enable real-time data exchange, reduce congestion, enhance safety, optimize road capacity, and optimize infrastructure planning. AI and machine learning algorithms provide accurate predictive analytics, adaptive traffic control, and personalized services. Cloud computing, IoT, and data analytics enable predictive modeling for mobility planning, traffic flow forecasting, demand forecasting, and behavioral analysis. MaaS platforms facilitate seamless integration of modes, while shared mobility services like car-sharing and ride-hailing grow, reducing private vehicle ownership and promoting efficient resource use. Mobility data transforms urban planning, infrastructure optimization, mixed-use development, and smart city integration, guiding transportation layouts, traffic signal placements, parking facilities, and neighborhood design. © 2024, IGI Global. All rights reserved.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
46597	0.874	Abbas Q.; Ahmad G.; Alyas T.; Alghamdi T.; Alsaawy Y.; Alzahrani A.	Revolutionizing Urban Mobility: Iot-Enhanced Autonomous Parking Solutions With Transfer Learning For Smart Cities	Sensors (Basel, Switzerland), 23, 21 (2023)
56490	0.872	El Haddad Imane K.; Barramou F.Z.; Hbiak I.	The Role Of Artificial Intelligence In Intelligent Transport Systems For Smart Cities: A Review	2025 5th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2025 (2025)
61044	0.87	Tsakiri A.; Lampiris N.; Prantalos J.; Mylonas P.; Ayfantopoulou G.	Versatile Car Sharing Modelling For Sustainable Mobility With Embedded Intelligent Modules	ACM International Conference Proceeding Series (2022)
51664	0.87	Mahrez Z.; Sabir E.; Badidi E.; Saad W.; Sadik M.	Smart Urban Mobility: When Mobility Systems Meet Smart Data	IEEE Transactions on Intelligent Transportation Systems, 23, 7 (2022)
60058	0.869	Dawale S.V.; Kanaga Suba Raja S.; Darsan R.V.	Urban Living Through Aiot Integration In Smart Cities	AIoT: Artificial Intelligence of Things (2025)
51201	0.868	Rishikesh A.; Shanmuga Priyan R.	Smart Mobility For Smart Cities: Analyzing Maas Adoption In Chennai	Proceedings - 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024 (2024)
8948	0.861	Slavulj M.; Šojat D.; Prskalo H.; Vidan L.	An Overview Of The Current State Of Mobility As A Service	Transportation Research Procedia, 73 (2023)
35879	0.861	Chaymae T.; Mhamed R.; Soumia Z.	Machine Learning And 5G Edge Computing For Intelligent Traffic Management	International Journal of Advanced Computer Science and Applications, 16, 6 (2025)
22949	0.861	Falanga A.; Henke I.; Cartenì A.	Empowering Sustainable Mobility: Exploring Maas As A Big Data Application In Transportation Planning	Lecture Notes on Data Engineering and Communications Technologies, 203 (2024)
52929	0.86	Slavulj M.; Tomašić D.; Ćosić M.; Šojat D.	State Of Developing Mobility As A Service In The City Of Zagreb	Tehnicki Vjesnik, 27, 4 (2020)