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Transport Data Analytics With Selection of Tools and Techniques
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Author(s): Jayanthi Ganapathy (Sri Ramachandra Faculty of Engineering and Technology, India), Purushothaman R. (Siddartha Institute of Science and Technology, India), Ramya M. (Sri Ramachandra Faculty of Engineering and Technology, India)and Joselyn Diana C. (Sri Ramachandra Faculty of Engineering and Technology, India)
Copyright: 2023
Pages: 14
Source title:
Convergence of Big Data Technologies and Computational Intelligent Techniques
Source Author(s)/Editor(s): Govind P. Gupta (National Institute of Technology, Raipur, India)
DOI: 10.4018/978-1-6684-5264-6.ch003
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Abstract
Emergency medical services (EMS) are inevitable in urban transport. The sustainable transport services during emergency situations are inevitable. These emergency services and vehicle operations are influenced by traffic flow rate on highways. The objective of this chapter is to present the use of transport data analytics in sustainable mobility and transport. Travel time is a key factor in emergency vehicle operations as the urban transport system is a time varying network. Temporal traffic information is a source for estimation of travel time on highways in emergency vehicle operations. The adverse traffic behavior during peak and non-peak hours of daily traffic profile hinders the operation of emergency vehicles during pandemic COVID-19 situations and so forth in evacuation planning when situation arises. Hence, this chapter presents the modern techniques and tools used in estimation of traffic flow rate on highways to access the connectivity of road network for emergency vehicle operations.
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