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An Aggregate Matching and Pick-up Model for Mobility-on-demand Services


SPEAKER:

Dr. LI Xinwei

School of Economics and Management, Beihang University China


DATE & TIME:

July 3 (Monday) 11:00-12:00 HKT


VENUE:

Room 612B, 6/F Haking Wong Building, The University of Hong Kong


ABSTRACT:

This research presents an Aggregate Matching and Pick-up (AMP) model to delineate the matching and pick-up processes in mobility-on-demand (MoD) service markets by explicitly considering the matching mechanisms in terms of matching intervals and matching radii. With passenger demand, vehicle fleet size and matching strategies as inputs, the AMP model can well approximate drivers’ idle time, passengers’ waiting time for matching and pick-up by considering batch matching in a stationary state. Properties of the AMP model are then analyzed, including the relationship between passengers’ waiting time and drivers’ idle time, and their changes with market thickness which is measured in terms of the passenger arrival rate (demand) and the number of active vehicles in service (supply). The model can also unify several prevailing inductive and deductive matching models used in the literature and spell out their specific application scopes. In particular, when the matching radius is sufficiently small, the model reduces to a Cobb-Douglas type matching model for street-hailing taxi markets, in which the matching rate depends on the pool sizes of waiting passengers and idle vehicles. With a zero matching interval and a large matching radius, the model reduces to Castillo model based on an instant matching mechanism, or a bottleneck type queuing model, in which passengers’ matching time is derived from a deterministic queue at a bottleneck with the arrival rate of idle vehicles as its capacity and waiting passengers as its customers. When both the matching interval and matching radius are relatively large, the model also reduces to the bottleneck type queuing model. The performance of the proposed AMP model is verified with simulation experiments.


ABOUT THE SPEAKER:


Dr. LI Xinwei is an Assistant Professor in the School of Economics and Management at Beihang University, China. She received her Ph.D. from the Hong Kong University of Science and Technology in 2018, and B.S. from University of Science and Technology of China in 2013. Dr Li’s research interest is in the area of traffic dynamics, traffic economics and shared mobility services. Her research work has been published in various world-leading SCI journals such as Transportation Research Part B, Transportation Research Part C, Transportation Research Part D, Transportation Research Part E, etc. Dr. Li’s research has been supported by the National Natural Science Foundation of China (NSFC).


DEPARTMENT OF CIVIL ENGINEERING

JOINTLY ORGANIZED WITH

HONG KONG SOCIETY FOR TRANSPORTATION STUDIES

And

INSTITUTE OF TRANSPORT STUDIES, HKU

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Prof. Anthony Yeh, Chair Professor of Department of Urban Planning and Design at the University of Hong Kong won a Silver and a Bronze Medal in the 48th International Exhibition of Inventions of Geneva on 28 April 2023. The Silver Medal is for his PI’s project “Smart Address Plates for Pedestrian Indoor Navigation and Location-Based Services and Management” and the Bronze Medal is for his Co-I’s project “Remote e-Inspection System for the Manufacturing and Delivery of Offsite Modular Construction” which has also received the Hong Kong ICT Smart Mobility (Smart Logistics) Gold Award in November 2022. He has obtained a Gold Medal in Geneva in 2018 for his “Angle Difference Method for Vehicle Navigation in Multilevel Road Networks”.


Prof. Anthony G.O. Yeh winning a Silver and a Bronze Medal in the 48th International Exhibition of Inventions of Geneva, 28 April 2023, for his two projects Smart Address Plates for Pedestrian Indoor Navigation and Location-Based Services and Management (PI) and Remote e-Inspection System for the Manufacturing and Delivery of Offsite Modular Constructio (Co-I) respectively.

香港科學院,中國科學院 院士, 香港大學城市規劃及設計系,葉嘉安講座教授在「2023年日內瓦國際發明展」獲得銀牌和銅牌。獲得銀牌是他主持的《行人室內導航及基于位置服務和管理的智慧地址牌》項目,銅牌是他作爲共同研究者的《組裝合成建築模組生産和運輸遙距監控系統》項目。


1. Smart Address Plates for Pedestrian Indoor Navigation and Location-Based Services and Management (Silver Medal)

Traditionally, pedestrian navigation uses Location Positioning System (LPS) with trilateration to find the user’s position, which have very high positioning error for outdoor GPS and indoor positioning. This new solution adopts a cost-effective innovative Location Confirmation System (LCS) to accurately locate and guide the user to the destination by using Smart Address Plates (SAP) that transmit stored geographic coordinates with innovative 3D Smart Address (SA) codes to the users even without WiFi or telephone signals. This SAP system can help to find shops/ offices/ restaurants/ car parking spaces inside a multi-storey building accurately while providing location-based services and management for precise target marketing. It is highly scalable, connecting shops/rooms on a floor to a building, then to a district and to the whole city through a Smart Address Plate Management System (SAP-MS).


The Smart Address Plates and Location Confirmation System were developed by Professor Anthony Yeh, Dr Zhong Teng and Dr Run Shi from the Department of Urban Planning and Design, The University of Hong Kong.


Prof. Anthony Yeh explaining his Smart Address Pates and Location Confirmation System for Pedestrian Indoor Navigation to Prof. Dong Sun, Secretary for Innovation, Technology and Industry, HKSAR Government, in the 48th International Exhibition of Inventions of Geneva, 28 April 2023

香港科學院,中國科學院 院士, 香港大學城市規劃及設計系,葉嘉安講座教授於2023年4月28日在「2023年日內瓦國際發明展」向香港特別行政區創新科技及工業局局長孫東教授介绍他的《行人室內導航及基于位置服務和管理的智慧地址牌》。


Prof. Anthony G.O. Yeh winning Silver Medal in the 48th International Exhibition of Inventions of Geneva, 28 April 2023 for his PI’s project on Smart Address Plates for Pedestrian Indoor Navigation and Location-Based Services and Management (from left to right, Dr. Shi Run and Prof. A.G.O. Yeh (PI))

香港科學院,中國科學院 院士, 香港大學城市規劃及設計系,葉嘉安講座教授主持的《行人室內導航及基于位置服務和管理的智慧地址牌》項目,在「2023年日內瓦國際發明展」獲得銀牌。(從左到右, 石潤博士,葉嘉安院士)


2. Remote e-Inspection System for the Manufacturing and Delivery of Offsite Modular Construction (Bronze Medal)

This e-Inspection System is a Modular Construction Supply Chain Quality Assurance system that includes i-Core (an loT device attached to each MC module to monitor the position, humidity, temperature and collision data), e-InStar (an App for uploading the checking result of each production step in a remote factory to the block chain), e-TranStar (an App for monitoring the location and condition of the MC module in the transport process) and a blockchain-based backend. Designed for offsite modular construction use to help solve housing problems, it reduces resources required for supervision and paperwork while ensuring tamper-proof data, helping overcome the current difficulties in monitoring the quality of production and transportation from remote sites. The system has been piloted in an HKU project in Hong Kong with two 17-storey buildings using 952 MiC modules. This project has also received the Hong Kong ICT Smart Mobility (Smart Logistics) Gold Award in November 2022 and the 12th Guangdong-Hong Kong IoT Competition Best IoT Innovation Award in December 2022.


The system was developed by Prof Wilson Lu, Director of the iLab of the Faculty of Architecture, together with Professor Anthony Yeh, Chair Professor of the Department of Urban Planning and Design, and Mr KL Tam, Former Director of the Estates Office of the University of Hong Kong.



Prof. Anthony G.O. Yeh winning Bronze Medal in the 48th International Exhibition of Inventions of Geneva, 28 April 2023, for his Co-I’s project Remote e-Inspection System for the Manufacturing and Delivery of Offsite Modular Construction. (from left to right, Prof. Anthony G.O. Yeh, Prof. Wilson Weisheng Lu and Mr. Liupengfei Wu (PI))

香港科學院,中國科學院 院士, 香港大學城市規劃及設計系,葉嘉安講座教授作爲共同研究者的《組裝合成建築模組生産和運輸遙距監控系統》項目在「2023年日內瓦國際發明展」獲得銅牌。(從左到右, 葉嘉安院士,呂偉生教授,吳劉鵬飛先生)




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Digitalization in the Service of Society: Harnessing Big Vehicle Trajectory Data



SPEAKER:

Prof. Christian S. Jensen

Professor of Computer Science at Aalborg University, Denmark


DATE & TIME:

May 3 (Wednesday) 17:00-18:00 HKT


VENUE:

CPD-2.42, Centennial Campus, HKU


ABSTRACT:

The ongoing, sweeping digitalization of societal processes yields massive volumes of data that capture the underlying processes at an unprecedented level of detail, in turn enabling us to better understand and improve those processes. Put differently, if harnessed properly, data holds the potential to enable value creation throughout society.

Considering primarily vehicle trajectory data, this talk puts focus on the important process of transportation: While we all depend on it for mobility, transportation has adverse effects on our productivity due to lack of predictability and congestion, on the climate due to greenhouse gas emissions, and our health and safety due to air and noise pollution and accidents. In sum, it makes sense to invent techniques capable of leveraging trajectory data for the improvement of transportation.


This talk will describe how the availability of massive trajectory data renders the traditional routing paradigm, where a road network is modelled as an edge-weighted graph, inadequate. Instead, new paradigms that thrive on massive trajectory data are called for. The talk will cover several such paradigms. As even massive volumes of trajectory data are sparse in these settings, the talk will also cover means of making good use of available data.


ABOUT THE SPEAKER:

Christian S. Jensen is Professor of Computer Science at Aalborg University, Denmark. His research concerns analytics, including machine learning, data mining, and query processing, and data management, with a focus on temporal and spatio-temporal data. Christian is an ACM and IEEE Fellow, and he is a member of Academia Europaea, the Royal Danish Academy of Sciences and Letters, and the Danish Academy of Technical Sciences. He has received several awards, most recently the 2022 ACM SIGMOD Contributions Award and the 2019 IEEE TCDE Impact Award. He is on the board of Villum Fonden, a major funder of research in Denmark and is vice-chair of the Danish National Research Foundation. He is president of the steering committee of the Swiss National Research Program on Big Data. In Germany, he is on the scientific advisory board (SAB) of the Max Planck Institute for Informatics; and in Norway, he chairs the SAB of the Norwegian Research Center for AI Innovation.


HOST:



CO-HOST:


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© 2023 by Institute of Transport Studies. The University of Hong Kong.
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