The rapid increase in population has increased the traffic density in urban areas. In current scenario, the major challenges faced by transportation systems are congestion, accidents and pollution control, etc. In recent decade’s development of Internet of Things (IoT) and communication technologies and connected devices have paved way for the involvement of information and communication in all aspects of smart city. IoT has transformed the transportation system by enhancing customer experience, safety, and operational performance. The smart or intelligent transportation system is possible that can provide in vehicle transportation and navigation system and assistance. Various new techniques are required to further enhance the intelligence and capabilities of applications. Cyber-physical system is an integral part of intelligent transportation system. CPS can help in gathering information in distributed manner over various diverse networks and analysing useful information to control operations of Intelligent Transportation system. This paper provides the description of the main elements of traffic management system in intelligent transportation systems. The focus is on the algorithms used to increase the efficiency of transport management in Intelligent Transportation System.
Intellıgent Transportatıon System Applıcatıons: A Traffıc Management Perspectıve
Lect. Notes in Networks, Syst.
2021-08-27
15 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Intelligent transportation system (ITS) , Connected vehicles , Intelligent transportation system applications , Traffic management system , Traffic data sources , Deep learning algorithms Engineering , Computational Intelligence , Artificial Intelligence , Power Electronics, Electrical Machines and Networks
Applications of Big Data Analytics in Traffic Management in Intelligent Transportation Systems
DOAJ | 2022
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