[HTML][HTML] Emergency response facility location in transportation networks: A literature review

Y Liu, Y Yuan, J Shen, W Gao - Journal of traffic and transportation …, 2021 - Elsevier
Emergency response activity relies on transportation networks. Emergency facility location
interacts with transportation networks clearly. This review is aimed to provide a combined …

State-of-the-art review on traffic control strategies for emergency vehicles

W Yu, W Bai, W Luan, L Qi - IEEE Access, 2022 - ieeexplore.ieee.org
Emergency vehicles (EVs) play an essential role in emergency services. One of the most
intuitive indicators of the emergency service process is the response time of EVs. This …

Deep learning and case-based reasoning for predictive and adaptive traffic emergency management

A Louati, H Louati, Z Li - The Journal of Supercomputing, 2021 - Springer
An efficient traffic signal control system (TSCS) should not only be reactive to the current
traffic but also be predictive by anticipating future traffic disturbances. In this study, we …

A strategy for emergency vehicle preemption and route selection

K Shaaban, MA Khan, R Hamila, M Ghanim - Arabian Journal for Science …, 2019 - Springer
Emergency vehicle preemption (EVP) aims to give right of way to emergency vehicles (EV)
heading toward the incident location through a network of signalized intersections by …

[PDF][PDF] A survey on emergency vehicle preemption methods based on routing and scheduling

SJ Kamble, MR Kounte - Int. J. Comput. Netw. Appl, 2022 - academia.edu
Emergency Vehicles (EVs) play a significant role in saving human lives and property
damages. Reducing the time delay of emergency vehicles is important to enhance …

Multi-agent deep neural networks coupled with LQF-MWM algorithm for traffic control and emergency vehicles guidance

A Louati, H Louati, M Nusir, B Hardjono - Journal of Ambient Intelligence …, 2020 - Springer
Authorities in modern cities are facing daily challenges related to traffic control. Due to the
problem complexity caused by the urbanization growth, investing in developing traffic signal …

Efficient and safe strategies for intersection management: a review

J Wang, X Guo, X Yang - Sensors, 2021 - mdpi.com
Intersection management is a sophisticated event in the intelligent transportation system due
to a variety of behavior for traffic participants. This paper primarily overviews recent studies …

Multi-agent systems for distributed data mining techniques: An overview

MH Qasem, A Hudaib, N Obeid, MA Almaiah… - Big Data Intelligence for …, 2022 - Springer
The term “multi-agent systems”(MAS) refers to a mechanism that is used to create goal-
oriented autonomous agents in a shared environment and have communication and …

A hybridization of deep learning techniques to predict and control traffic disturbances

A Louati - Artificial Intelligence Review, 2020 - Springer
Predicting traffic disturbances is a challenging problem in urban cities. Emergency vehicles
(EV) is one of the biggest disturbances that affect traffic fluidity. The goal of this paper is to …

The Impact of Priority in Coordinated Traffic Lights on Tram Energy Consumption

A Górka, A Czerepicki, T Krukowicz - Energies, 2024 - mdpi.com
Traffic signal priority issues have been a research subject for several decades in Poland and
worldwide. Traffic control algorithms have evolved considerably during this period and have …