I. Time and Place

Time: Wednesday, September 27, 2023, 14:30

Location: First Meeting Room, Academic Exchange Center, North Campus, South Campus

II. Report Content

Report Title: Data Science Behind Smart Transportation: from theory to the real world

Abstract: Data science is an interdisciplinary field that encompasses multiple domains, including statistics, computer science, mathematics, and domain knowledge, to extract meaningful information and knowledge from data. It also plays a critical role in the development and implementation of intelligent transportation systems. By leveraging data from various sources, data scientists can develop models and algorithms that optimize transportation systems and improve travel as well. However, there are gaps between textbooks and the real world. I hope my lecture can bridge the gap to some extent. In my more than ten years of experience in both academia and industry, I have personally witnessed the practical applications of data science and its importance in various fields. In this lecture, I will draw on my personal experience to discuss the application of data science in intelligent transportation. I hope the lecture can provide some insights for students who are interested in data science and the cross-domain research and application bridging theory and practices.

Speaker: Ma Jiangshan

III. Speaker Profile

Ma Jiangshan, Algorithm Director at Ctrip Group, graduated with a bachelor's and master's degree from Southeast University in 2007 and 2009, respectively, and obtained his Ph.D. from Tokyo Institute of Technology in Japan in 2012. His main research directions include transportation geographic information systems, route planning models and algorithms, multi-agent traffic simulation, and traffic data mining. In 2014, he received the Excellent Advanced Technology Development Award from the Japanese Ministry of Land, Infrastructure, Transport and Tourism, and in 2021, he won the first prize of the Science and Technology Progress Award from the China Communications and Transportation Association. He has published numerous papers in Transportation Research Part C, IEEE Transactions on ITS, Transportation Research Record, Transportmetrica A: Transport Science, Procedia Computer Science, and presented at international conferences such as ISTTT21 (oral presentation), TRB, EASTS, HKSTS, INSTR, CICTP, etc. He has also contributed to the writing of sections of the book on the multi-agent traffic simulation open-source project MATSim Agent-based Simulation Tool.

IV. Participation Requirements

1. The lecture      registration link will be posted in the QQ group for graduate students of      the School of Transportation Engineering. Please pay attention in time.

2. After the lecture      begins, please listen attentively and keep your communication devices on      silent mode.