Deployment of an AI-enabled Parking Vacancy Prediction System in Hong Kong

Technical Seminar:
Deployment of an AI-enabled Parking Vacancy Prediction System in Hong Kong

Date, time & venue

6 September 2023 (Wednesday), 17:00-18:00, Seminar via Zoom Meeting

Organized by

HKIE Civil Division and The Hong Kong Polytechnic University

Programme Highlight

Recent decades have witnessed a significant growth of vehicle numbers in many megacities like Hong Kong, and parking has become one major pain point for urban drivers. Limited parking spaces lead to the “cruise for parking” phenomenon in dense urban areas. This not only increases travelers’ overall travel cost, but also adds additional congestion and emission due to the inefficient parking cruising. As one initiative in the Smart City Blueprint for Hong Kong, the Transport Department is replacing all the on-street parking meters with new meters that can continuously monitor the vacancy status of on-street parking spaces. In view of this, this project aims to develop a holistic framework to make use of the multi-source real-time data in Hong Kong and predict the short-term parking vacancy for both on-street and garage parking. Because some of the parking spaces are not equipped with meters, the proposed framework is also designed to predict the parking vacancy without real-time information. In terms of the product, we will develop web and mobile phone-based parking guidance applications on both Android & iOS, and all the parking-related information can be shared with travelers, public agencies, and private sectors. We wish the project outcomes could enhance the convenience of motorists, increase the utilization rate of parking spaces, and improve the efficiency of road networks.

Language

English

Fee

Free of Charge.

Speakers
Dr. Ma Wei is currently an assistant professor with the Department of Civil and Environmental Engineering at the Hong Kong Polytechnic University (PolyU). He received bachelor’s degrees in Civil Engineering and Mathematics from Tsinghua University, China, master’s degrees in Machine Learning and Civil and Environmental Engineering, and Ph.D. in Civil and Environmental Engineering from Carnegie Mellon University, USA. Dr. Ma’s research focuses on the intersection of AI and transportation modeling, with applications for smart and sustainable mobility systems. He currently directs the PolyU Mobility AI Lab (http://polyu-mobility-ai-lab.com/), and his research has been supported by various agencies, such as Research Grants Council of Hong Kong, Transport Department in Hong Kong, National Natural Science Foundation of China, and Uber. Dr. Ma received the best paper award (theoretical track) at INFORMS Data Mining and Decision Analytics Workshop and Kikuchi-Karlaftis Best Paper Award by the Transportation Research Board (TRB).

Registration & Enquiries

Please complete the on-line registration at https://us02web.zoom.us/webinar/register/WN_8XqrpsgbShqMFXfqsn1RLA. The number of participants is limited to 500 on a first-come-first served basis. Priority will be given to members of the Civil Division.

Email registration will not be accepted. Successful applicants will be informed by email and provided a link to the Zoom Meeting at the designated time slot. Participants need to sign in using the membership no. and name entered at the time of registration. A CPD certificate will be issued 3 weeks after the seminar based on this membership no. and name.

For enquiries, please contact Mr. Alan Yan via email: alanyan@pyengineering.com.