Birkbeck Institute for Data Analytics > Events > Identification of Asymmetric Phenomena of Seoul Metro Systems based on Big Data Analytics

Identification of Asymmetric Phenomena of Seoul Metro Systems based on Big Data Analytics

When
Venue External, Room 102, Chadwick Building, UCL
Booking details
Free entry; booking required

Event description

Centre for Transport Studies (CTS) Seminar Series

Room102, Chadwick Building, UCL

Information and registtration here

https://ucl.us19.list-manage.com/track/click?u=4b93549356ae8681f3fc51039&id=f403811fe9&e=926be8bd08

 

Contact name
Speakers

Seungjae LEE.

Professor of Transportation Planning in University of Seoul.