Research：Urban TRAffic & Mobility (uTram)

Xiaoyan's research interests focused on traffic and mobility modeling and related theories for urban transportation and mobility systems, especially for emerging or intelligent transportation and smart mobility systems and their infrastructures, based on “AI+”，operational research and traffic flow theory. The goal was to gain insight into the characteristics of traffic, travel behaviors, mobility patterns, and urban dynamics to solve inherent and novel issues, such as congestion, accessibility, safty, risk, spatial structure, etc. The ultimate objective was to enhance the land use, and the Level of Service (LOS) or Quality of Service (QoS) of transportation and mobility systems, to promote the planning and development of eco-friendly, comfortable, safe, and sustainable transportation and mobility systems.

The above studies involved multiple data sources of different cities, regions (Greater Paris Metropolis, etc.), such as synthetic data, new passive massive datasets - Big Data (smart ticketing-Smartcard/etc., FCD, GPS/AVL, Smartphone, etc.), OpenData (smart ticketing-Smartcard/etc., GTFS, OSM, etc.), and travel surveys (EGT, RP, etc.), provided by the Transportation or Mobility Organizing Authority, the Transportation Operators, the Mobility companies, etc.

Keywords: Traffic flow theory (Vehicle & Passenger Traffic Characteristics, and Traffic control); (Digital) Mobility Analytics; Supply (System - Infrastructure); Demand (Vehicle & Passenger); Machine Learning (Big data); Modeling; Simulation; Optimization (Automatization).



Research projects

       -.Partners : Ecole Centrale de Lyon, EGIS, CEA, VOLVO IT



Synergy research projects



Academic research funds/grants/scholarships