Smart City Gnosys

Smart city article details

Title	Disseminating Dynamic Traffic Information For Sustainable Mobility And Transport
ID_Doc	20556
Authors	Ganapathy J.; Sureshkumar T.; Renuka A.; Krishna V.; Das A.
Year	2024
Published	Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications
DOI	http://dx.doi.org/10.1201/9781003409502-8
Abstract	Smart cities are empowered with deployable Intelligent Transport System (ITS) services. One such essential service for traffic operations in smart cities is highway traffic profiling. Time series traffic forecasting, an integral part of ITS, emphasizes the daily traffic profiling of the physical traffic flow on highways. However, recent research in traffic forecasting is more dependent on data-driven approaches to traffic forecasting for congestion management and vehicle routing. In this regard, the sections of the chapter are organized to present the recent advancements with a highlight on research methodologies, data acquisition, computational technologies, and research outcomes in highway traffic information analysis. In this direction, case studies on vehicle trajectory mining and highway traffic profiling are elaborated with illustrations. Finally, the chapter is concluded with a summary of various sections. © 2024 selection and editorial matter, T. V. Ramana, G. S. Pradeep Ghantasala, R. Sathiyaraj, Mudassir Khan individual chapters, the contributors.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
8929	0.905	Mrad S.; Mraihi R.	An Overview Of Model-Driven And Data-Driven Forecasting Methods For Smart Transportation	Studies in Big Data, 132 (2023)
35056	0.886	Mahmud S.; Day C.M.	Leveraging Data-Driven Traffic Management In Smart Cities: Datasets For Highway Traffic Monitoring	The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems (2022)
22862	0.877	Jenifer J.; Jemima Priyadarsini R.	Empirical Research On Machine Learning Models And Feature Selection For Traffic Congestion Prediction In Smart Cities	International Journal on Recent and Innovation Trends in Computing and Communication, 11 (2023)
25494	0.876	Almeida A.; Brás S.; Sargento S.; Oliveira I.	Exploring Bus Tracking Data To Characterize Urban Traffic Congestion	Journal of Urban Mobility, 4 (2023)
8060	0.876	Shouaib M.; Metwally K.; Badran K.	An Enhanced Time-Dependent Traffic Flow Prediction In Smart Cities	Advances in Electrical and Computer Engineering, 23, 3 (2023)
58652	0.874	Swathi V.; Yerraboina S.; Mallikarjun G.; Jhansirani M.	Traffic Prediction For Intelligent Transportation System Using Machine Learning	2022 2nd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2022 (2022)
46591	0.874	Deveshwar P.; Singh T.; Sharma Y.; Bidwe R.V.; Hiremani V.; Devadas R.; Shah K.	Revolutionizing Smart Cities: A Data-Driven Traffic Monitoring System For Real-Time Traffic Density Estimation And Visualization	Lecture Notes in Networks and Systems, 1075 LNNS (2025)
58977	0.873	Ding X.; Liu W.; Wang C.; Kong D.; Tang W.; Xu R.; Zhang C.	Trend Analysis Of Traffic Management Based On Literature Data Mining And Graph Analysis Tools	IET Intelligent Transport Systems, 17, 11 (2023)
60507	0.871	Christantonis, K; Tjortjis, C; Manos, A; Filippidou, DE; Mougiakou, E; Christelis, E	Using Classification For Traffic Prediction In Smart Cities	ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2020, PT I, 583 (2020)
10797	0.87	Zaman M.; Saha S.; Abdelwahed S.	Assessing The Suitability Of Different Machine Learning Approaches For Smart Traffic Mobility	2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 (2023)