Title
Priority Based Traffic Pre-emption System for Medical Emergency Vehicles in Smart Cities
Abstract
Over the years, traffic lights have been used to manage traffic at road intersections. Though relatively effective, the vehicular queues that build up at each intersection being managed by a traffic light and the subsequent delay thereof, could have adverse effects on medical emergency vehicles (EVs). Reports have shown that queues at traffic intersection can increase travel times of medical EVs by an average of 20%. This in many instances could mean the difference between life and death. Prioritizing EVs could be a potential solution to this challenge. In this paper, an Internet of Things based priority preemption model for EVs in smart cities is proposed. It leverages on sensors to dynamically track the EV’s location and speed, and adaptively adjusts the timing sequence of all traffic lights on the EV’s path. This ensures that the EV experiences little or no delay to and from its destination. Experimental results show that the proposed model has the potential to reduce travel delays experienced by medical EVs by up to 35%.
Year
DOI
Venue
2020
10.1109/ISCC50000.2020.9219628
2020 IEEE Symposium on Computers and Communications (ISCC)
Keywords
DocType
ISSN
Cyber Physical Systems,Medical Emergency Vehicles,Internet of Things,Fog Computing,Smart Traffic
Conference
1530-1346
ISBN
Citations 
PageRank 
978-1-7281-8086-1
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Olasupo Ajayi101.35
Antoine Bagula200.68
Ifeoma Chukwubueze300.34
Hloniphani Maluleke401.01