Coordinated Emergency Evacuation of Multimodal Transportation Systems via Intelligent Navigation Applications
Grant Data
Project Title
Coordinated Emergency Evacuation of Multimodal Transportation Systems via Intelligent Navigation Applications
Principal Investigator
Professor Shen, Zuojun Max
(Principal Investigator (PI))
Duration
24
Start Date
2024-06-01
Amount
2339560
Conference Title
Coordinated Emergency Evacuation of Multimodal Transportation Systems via Intelligent Navigation Applications
Keywords
Coordinated Emergency Evacuation, Multimodal Transportation Systems, Intelligent Navigation Applications
Discipline
Engineering
HKU Project Code
MHP/192/23
Grant Type
Mainland-Hong Kong Joint Funding Scheme (MHKJFS)
Funding Year
2024
Status
On-going
Objectives
In view of Hong Kong's dense and aging population, prevalence of public transport and complex weather conditions, the project is oriented to address emergency contingencies at key nodes of the urban transport network and sudden natural disasters in Hong Kong and the Greater Bay Area. We plan to use operations research, machine learning and simulation methods driven by data to develop theories and schemes for complex traffic evolutive prediction, emergency resource scheduling, and personnel evacuation supported by intelligent navigation and the coordination of multiple transportation modes including railway, bus and taxi etc. Benefiting from these methods, the project will help to quickly navigate and evacuate a large number of abnormally gathered people in contingencies, eliminate potential traffic congestion, economic losses and safety hazards, and ensure urban safety and citizens' welfare.