A supervised hybrid quantum machine learning solution to the emergency escape routing problem
Managing the response to natural disasters effectively can considerably mitigate their
devastating impact. This work explores the potential of using supervised hybrid quantum …
devastating impact. This work explores the potential of using supervised hybrid quantum …
A fast and multifactor evacuation method considering cumulative fatality rate based on deep reinforcement learning for urban toxic gas leakage
Toxic gas leakage accidents negatively impact human health and the social economy,
affecting the sustainability and resilience of cities. It is significant to provide safe evacuation …
affecting the sustainability and resilience of cities. It is significant to provide safe evacuation …
Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey
AE Brower, B Ramesh, KA Islam, HS Mortveit… - … Environment and Urban …, 2023 - Elsevier
In this work, an agent-based model (ABM) of population evacuation during Hurricane
Harvey is developed. The ABM integrates data from several sources, including data about …
Harvey is developed. The ABM integrates data from several sources, including data about …
A hybrid approach of traffic simulation and machine learning techniques for enhancing real-time traffic prediction
Accurate traffic prediction is important for efficient traffic operation, management, and user
convenience. It enables traffic management authorities to allocate traffic resources …
convenience. It enables traffic management authorities to allocate traffic resources …
Modeling Link-level Road Traffic Resilience to Extreme Weather Events Using Crowdsourced Data
Climate changes lead to more frequent and intense weather events, posing escalating risks
to road traffic. Crowdsourced data offer new opportunities to monitor and investigate …
to road traffic. Crowdsourced data offer new opportunities to monitor and investigate …
An Integrated Data-Driven Predictive Resilience Framework for Disaster Evacuation Traffic Management
Maintaining smooth traffic during disaster evacuation is a lifesaving step. Traffic resilience is
often used to define the ability of a roadway during disaster evacuation to withstand and …
often used to define the ability of a roadway during disaster evacuation to withstand and …
Deploying scalable traffic prediction models for efficient management in real-world large transportation networks during hurricane evacuations
Accurate traffic prediction is vital for effective traffic management during hurricane
evacuation. This paper proposes a predictive modeling system that integrates Multilayer …
evacuation. This paper proposes a predictive modeling system that integrates Multilayer …
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach
Traffic prediction during hurricane evacuation is essential for optimizing the use of
transportation infrastructures. It can reduce evacuation time by providing information on …
transportation infrastructures. It can reduce evacuation time by providing information on …
[HTML][HTML] Data-driven evacuation and rescue traffic optimization with rescue contraflow control
Z Liu, J Liu, X Shang, X Li - Journal of Safety Science and Resilience, 2024 - Elsevier
In response to local sudden disasters, eg, high-rise office or residential building fire
disasters, road occupation can cause conflicts, and traffic directions may be opposite …
disasters, road occupation can cause conflicts, and traffic directions may be opposite …
DEVELOPMENT OF AN ELECTRONIC EXAMINATION PLATFORM USING FACE RECOGNITION METHODS
MA Sulaiman - Science Journal of University of Zakho, 2024 - sjuoz.uoz.edu.krd
Online systems face a major challenge in efficiently monitoring participants and students
throughout lectures, particularly during exams. Establishing robust approaches and …
throughout lectures, particularly during exams. Establishing robust approaches and …