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Transportation Systems Read chapter Read first chapter

2022 | OriginalPaper | Chapter

9. Correlation Between Traffic Lights and Emergency Vehicles in Intelligent Transportation System

Authors : Gurpreet Kaur, Sumit Sharma

Published in: Intelligent Cyber-Physical Systems for Autonomous Transportation

Publisher: Springer International Publishing

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Abstract

The estimates state that more than 75% of Earth’s population will be living in urban areas by 2050. As the majority of population belonging to rural areas have started migrating to urban areas, this has led towards the issues of higher pressure on the existing resources and the infrastructure. These trends could be easily noticed in China, India, Africa, and Australia. In vehicles, vehicle-to-vehicle and vehicle-to-infrastructure applications tend to employ DSRC and Vehicular Ad Hoc Networks (VANETs) to provide rich, real-time fleet data to improve safety, efficiency, reliability, comfort, and convenience that would be infeasible to collect within the confines of a single vehicle. The work focuses upon a specific application of Intelligent Traffic Light System (ITLS) while keeping into consideration the need of traffic light clearance for emergency vehicles at the earliest possible. Future work of the paper includes evaluating the efficiency of proposed scheme and working on an offline–online sync-based information dissemination mechanism in a smart city.

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Metadata
Title
Correlation Between Traffic Lights and Emergency Vehicles in Intelligent Transportation System
Authors
Gurpreet Kaur
Sumit Sharma
Copyright Year
2022
Book
Intelligent Cyber-Physical Systems for Autonomous Transportation

Print ISBN: 978-3-030-92053-1

Electronic ISBN: 978-3-030-92054-8

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-92054-8_9

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