A Simulation Platform for Shared Mobility Services
Principal Investigator: Dr. Jintao Ke (Assistant Professor from Department of Civil Engineering)
This project is showcased in the second exhibition – Digitization in Innovation Wing Two
Principal Investigator: Dr. Jintao Ke (Assistant Professor from Department of Civil Engineering)
This project is showcased in the second exhibition – Digitization in Innovation Wing Two
Teaching and research interests:
• Smart mobility, smart transportation, and smart city
• Urban computing and transportation big data analytics
• Artificial intelligent for transportation
• Operations research and operational management for on-demand mobility
Email: kejintao@hku.hk
Website: https://www.civil.hku.hk/pp-kejt.html
Researchers can make use of this simulation platform to train and test optimization, machine learning and reinforcement learning algorithms for designing better operating strategies, such as order dispatching, vehicle repositions and dynamic pricing. The simulation platform can also assist the transport department of Hong Kong government in evaluating and designing policies for Hong Kong taxi markets, including vehicle fleet size control and pricing regulations. The ultimate goal of developing this simulation platform is to help taxi operators and government to better manage and operate taxis and ride-hailing vehicles (such as Uber) so as to achieve a sustainable, efficient, and environmentally friendly on-demand transportation systems in Hong Kong.
Please feel free to give your enquiry / feedbacks to the research team by filling the form (https://forms.gle/JV59N47nTj19ndYz6). Thank you!