Potential of cooperative intelligent transport system services to mitigate risk factors associated with emergency vehicle accidents

K Weibull, B Lidestam, E Prytz - Transportation research …, 2023 - journals.sagepub.com
Emergency vehicles (EVs) are at high risk of accidents during emergency driving. To make
use of countermeasures to mitigate these risks, it is important to understand under what …

[HTML][HTML] An optimal control strategy for emergency vehicle priority system in smart cities using edge computing and IOT sensors

P Rosayyan, J Paul, S Subramaniam, SI Ganesan - Measurement: Sensors, 2023 - Elsevier
Smart city mission is a concept which improves economic growth and quality of life of people
by using Information and Communication Technology (ICT). Smart cities collect data from …

[PDF][PDF] Smart system for emergency traffic recommendations: Urban ambulance mobility

A Charef, Z Jarir, M Quafafou - International Journal of Advanced …, 2022 - researchgate.net
With the increasing evolution of advanced technologies and techniques such as the Internet
of Things, Artificial Intelligence and Big Data, the traffic management systems industry has …

[HTML][HTML] Every Second Counts: A Comprehensive Review of Route Optimization and Priority Control for Urban Emergency Vehicles

Z Hao, Y Wang, X Yang - Sustainability, 2024 - mdpi.com
Emergency vehicles (EMVs) play an important role in saving human lives and mitigating
property losses in urban traffic systems. Due to traffic congestion and improper priority …

P-VERSE: prioritization of vehicles to enhance road safety in IoT environment

S Misra, C Roy, R Ghosh - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In this article, we propose a scheme, named P-VERSE, to prioritize the emergency vehicles
(ERVs) in the absence of a traffic signal at a multiway intersection point on a road. We …

[HTML][HTML] Emergency vehicle driving assistance system using recurrent neural network with navigational data processing method

M Anjum, S Shahab - Sustainability, 2023 - mdpi.com
Emergency vehicle transportation is important for responding to and transporting individuals
during emergencies. This type of transportation faces several issues, such as road safety …

Learning to help emergency vehicles arrive faster: A cooperative vehicle-road scheduling approach

L Ding, D Zhao, Z Wang, G Wang, C Tan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The ever-increasing heavy traffic congestion potentially impedes the accessibility of
emergency vehicles (EVs), resulting in detrimental impacts on critical services and even …

Reinforcement learning based control scheme for emergency vehicle preemption with edge computing

P Rosayyan, J Paul, S Subramaniam… - International journal of …, 2023 - Springer
This paper proposes a reinforcement learning-based collaborative multi-agent actor and
critic scheme (RL-CMAS) under edge computing architecture for emergency vehicle …

Dead Reckoning in Emergency Vehicle Preemption System Using Deep Output Kernel Learning and Extended Kalman Filter

P Rosayyan, J Paul, S Subramaniam… - IETE Journal of …, 2024 - Taylor & Francis
Emergency Vehicle Preemption (EVP) system plays an important role in reducing the
response time of emergency vehicles by around 15–50%. Emergency Vehicle location …

MAQ Geo-fencing Algorithm-based LCBS for Enhanced Emergency Alerting in Legacy RAN

SL Ju, H Kang, SH Oh - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
The cell broadcast service (CBS) is an effective broadcasting technology commonly used for
emergency alerting. Herein, we address the challenges of geo-fencing and language …