Smart City Gnosys

Smart city article details

Title	Machine Learning And Robotics In Urban Planning And Management
ID_Doc	35893
Authors	Ravesangar K.; Kaunert C.; Singh B.; Lal S.; Arora M.K.
Year	2025
Published	Machine Learning and Robotics in Urban Planning and Management
DOI	http://dx.doi.org/10.4018/979-8-3693-9410-6
Abstract	The integration of advanced technologies has led to drastic changes in the field of urban planning and management. When using large amounts of data from numerous sources, machine learning models can mimic past scenarios which predict future events. Urban planners use these predictions when making infrastructure or administrative decisions geared towards a highly efficient and sustainable urban environment. Machine learning algorithms can reduce the wait times at intersections, stop-and-go traffic, and overall congestion by adjusting signal timings on a real-time basis according to live density of vehicles. Conventional bottlenecks are identified and possible route changes proposed to generate improved traffic flow across regions. Further research may continue encouraging urban planning and management innovation. Machine Learning and Robotics in Urban Planning and Management explores the integration of machine learning and robotics technology in urban and regional development. It examines solutions for traffic management, infrastructure improvements, and prediction models using intelligent technology. This book covers topics such as neural networks, smart cities, and transportation systems, and is a useful resource for urban developers, business owners, scientists, civil engineers, academicians, and researchers. © 2025 by IGI Global Scientific Publishing. All rights reserved.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
37160	0.911	Ei Leen M.W.; Jafry N.H.A.; Salleh N.M.; Hwang H.J.; Jalil N.A.	Mitigating Traffic Congestion In Smart And Sustainable Cities Using Machine Learning: A Review	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13957 LNCS (2023)
26305	0.902	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)
38883	0.891	Kumar A.; Batra N.; Mudgal A.; Yadav A.L.	Navigating Urban Mobility: A Review Of Ai-Driven Traffic Flow Management In Smart Cities	2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024 (2024)
30571	0.888	Goyal V.; Bore M.; Gori Y.; Mayuri K.; Rao A.L.N.; Krishna O.	Implementation Of Machine Learning Techniques For Predicting Traffic Flow In Smart Cities	Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023 (2023)
58620	0.888	Almukhalfi H.; Noor A.; Noor T.H.	Traffic Management Approaches Using Machine Learning And Deep Learning Techniques: A Survey	Engineering Applications of Artificial Intelligence, 133 (2024)
5173	0.885	Zheng Y.; Hao Q.; Wang J.; Gao C.; Chen J.; Jin D.; Li Y.	A Survey Of Machine Learning For Urban Decision Making: Applications In Planning, Transportation, And Healthcare	ACM Computing Surveys, 57, 4 (2024)
35987	0.885	Singh B.; Kaunert C.	Machine Learning For Traffic Management, Object Detection, And Collision Avoidance In Autonomous Driving For Smart City Governance	Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance (2024)
23044	0.883	Revathy G.; Thangavel M.; Senthilvadivu S.; Savithri M.C.	Enabling Smart Cities: Ai-Powered Prediction Models For Urban Traffic Optimization	4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025 - Proceedings (2025)
21429	0.882	Skoropad V.N.; Deđanski S.; Pantović V.; Injac Z.; Vujičić S.; Jovanović-Milenković M.; Jevtić B.; Lukić-Vujadinović V.; Vidojević D.; Bodolo I.	Dynamic Traffic Flow Optimization Using Reinforcement Learning And Predictive Analytics: A Sustainable Approach To Improving Urban Mobility In The City Of Belgrade	Sustainability (Switzerland), 17, 8 (2025)
6910	0.882	Dankan Gowda V.; Yogi K.S.; Srinivas I.V.; Kumar B.K.; Srinivas D.; Sudhakar Reddy N.	Ai And Machine Learning For Intelligent Traffic Management In Iot-Connected Cities	2024 Asian Conference on Intelligent Technologies, ACOIT 2024 (2024)