Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Applications of artificial intelligence and machine learning in disasters and public health emergencies
Indexed literature (from 2015 to 2020) on artificial intelligence (AI) technologies and
machine learning algorithms (ML) pertaining to disasters and public health emergencies …
machine learning algorithms (ML) pertaining to disasters and public health emergencies …
Intelligent traffic control for autonomous vehicle systems based on machine learning
This study aimed to resolve a real-world traffic problem in a large-scale plant. Autonomous
vehicle systems (AVSs), which are designed to use multiple vehicles to transfer materials …
vehicle systems (AVSs), which are designed to use multiple vehicles to transfer materials …
Predicting and assessing wildfire evacuation decision-making using machine learning: Findings from the 2019 kincade fire
To develop effective wildfire evacuation plans, it is crucial to study evacuation decision-
making and identify the factors affecting individuals' choices. Statistic models (eg, logistic …
making and identify the factors affecting individuals' choices. Statistic models (eg, logistic …
Bi-objective bi-level optimization for integrating lane-level closure and reversal in redesigning transportation networks
Q Zhang, SQ Liu, A D'Ariano - Operational Research, 2023 - Springer
Traditionally, traffic congestion was alleviated through significantly upgrading the
infrastructure of transportation networks. However, building new roads or adding more lanes …
infrastructure of transportation networks. However, building new roads or adding more lanes …
Human detection and action recognition for search and rescue in disasters using yolov3 algorithm
B Valarmathi, J Kshitij, R Dimple… - Journal of Electrical …, 2023 - Wiley Online Library
Drone examination has been overall quickly embraced by NDMM (natural disaster
mitigation and management) division to survey the state of impacted regions. Manual video …
mitigation and management) division to survey the state of impacted regions. Manual video …
[HTML][HTML] Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Methods
Facing the escalating effects of climate change, it is critical to improve the prediction and
understanding of the hurricane evacuation decisions made by households in order to …
understanding of the hurricane evacuation decisions made by households in order to …
Resilience enhancement of urban roadway network during disruption via perimeter control
Frequent happened extreme weather events (EWEs) cause severe disruptions to the
operation of large-scale urban road network. Perimeter control is of high application …
operation of large-scale urban road network. Perimeter control is of high application …
A traffic congestion analysis by user equilibrium and system optimum with incomplete information
Nowadays, the rapid development of intelligent navigation systems has profound impacts on
the routing of traffic users. With the assistance of these intelligent navigation systems, traffic …
the routing of traffic users. With the assistance of these intelligent navigation systems, traffic …
Reinforcement learning-based subway station lighting and emergency system
M Xu, C Lu - Computers and Electrical Engineering, 2024 - Elsevier
Due to its substantial capacity, the subway has emerged as a primary mode of transportation
crucial for the advancement of modern cities. However, the characteristics of subway and …
crucial for the advancement of modern cities. However, the characteristics of subway and …