About IITS, Zhejiang University
June 1, 2018
Institute of Intelligent Transportation Systems (IITS), a research and education institute of Zhejiang University, Hangzhou, China, provides its students with in-depth knowledge of the range of topics that are of importance to the field of transportation management, transportation planning, traffic information, and traffic control. IITS was founded on December 21, 2017. Administered by the College of Civil Engineering and Architecture, IITS is a multi-disciplinary program with faculty, staff, and students from universities worldwide and cooperative projects with national and local agencies, private industry, and nonprofit institutions.
The mission of IITS is to develop solutions that address the challenges of China’s comprehensive transportation systems, take the high-quality student training and development and high-level research outputs as the goals, and construct an international first-class research institute of intelligent transportation systems.
We aspire to the highest level of performance for our sponsors, stakeholders, and students. There are 2 Professors, 1 “Hundred Talents Program” Professor, 4 Associate Professors, and 2 Assistant Professors in the IITS. The faculty, researchers, and students engaged in more than 50 research, education, outreach, and technology transfer projects. In particular, IITS performed excellent engagement in the comprehensive and collaborative research. More than 30 projects were funded by national agencies, e.g., National Natural Science Foundation of China, National Program on Key Basic Research Project (973 Program), National High-tech R&D Program of China (863 Program), and National Key Technology Support Program. The faculty of IITS won 2 Second Class Prizes of The State Scientific and Technological Progress Award, 7 Ministerial and Provincial-Level Science and Technology Awards, and published more than 400 academic journal articles indexed by SCI/SSCI/EI. To date, more than 30 Ph.D. students and 80 master students graduated.
The objective is to mitigate urban and regional traffic congestion. Principal areas of research include:
Transportation Management, including macro/meso/micro-scopic transportation simulation, simulation optimization theory and methods, mixed traffic flow characteristics, traffic wave theory, car-following theory, mechanism of isolated and network traffic congestion, intersection/road segment traffic operations, evaluation, and optimization, etc.
Transportation Planning, including transportation system analytics, shared transportation and mobility, travel behavior theory, urban transportation demand-supply structure optimization, urban road traffic operations, congestion pricing, parking system planning and guidance, network traffic evolution mechanism, public transit planning, etc.
Traffic Information, including transportation big data analytics, traffic detector layout optimization, video-based mixed traffic flow parameters collection, multi-source traffic information processing, road network traffic status recognition and evaluation, etc.
Traffic Control, including road traffic system modeling, monitoring, optimization and control, ramp metering and speed limit control, real-time network path guidance, vehicle infrastructure autonomous communication network, traffic control sub-region dynamic division, mixed traffic control theory, network transit signal priority control technologies, traffic bottleneck control, mixed urban traffic control system research and development, etc.