Qijian Gan

Job title: 
Computational Data Science Research Specialist
Partners for Advanced Transportation Technology
Lead Researcher

Dr. Qijian Gan is a Computational Data Science Research Specialist for the California PATH program at UC Berkeley. He earned his bachelor’s degree in Automatic Control from the University of Science and Technology of China in 2009 and earned both his master’s degree and Ph.D. in Transportation Systems Engineering from the University of California, Irvine, in 2010 and 2014.

In 2016, Dr. Gan began working at PATH as a postdoctoral researcher which later developed into a position as a R&D Engineer. This began a years-long partnership with UC Berkeley Professor Alexandre Bayen, and the entire Connected Corridors team. It was during this collaboration that he succeeded in developing automated tools to analyze the quality of data retrieved from the field and a novel network-wide traffic estimation framework for the Connected Corridors I-210 Pilot. Besides that, Dr. Gan played a key role or was the PI in multiple Caltrans and University-funded research projects on traffic estimation, automated performance measures, and CTM-based signal control strategies.

Currently, Dr. Gan is the PI on the Caltrans project, “System Impact of Connected and Automated Vehicles: An Application to the I-210 Connected Corridors Pilot”, to develop an integrated platform in microsimulation to enable the modeling of CAVs and to evaluate potential impacts of CAVs on current ICM systems. This effort will help instruct Caltrans in how it can best support CAV deployment in California, as well as confirm California’s enduring leadership in the development of CAV technology.

Dr. Gan has a rich experience in transportation engineering, with a particular focus in the areas of network traffic flow theory, network modeling, simulation, freeway and arterial traffic estimation, traffic data analysis, CAV applications, and traffic signal control. He has published a number of research papers on these topics in top transportation journals, including Transportation Research Part B/C/D, Transportation Science, IEEE Transactions on ITS, and IEEE Transactions on Control Systems Technology. He is also an active reviewer for numerous transportation journals and conferences and was an associate editor for the 2018 IEEE 1st International Conference on Intelligent Transportation Systems (ITSC).

Research interests: 
  • Network traffic flow theory
  • Network modeling and simulation