Mengkai Shi is currently a PhD candidate of Tsinghua University, China. He received the BEng
degree from Tsinghua University in 2013. He has participated several research projects
granted from MOST, NSFC, and some companies. His research interests include intelligent
transportation system, intelligent vehicle-infrastructure cooperation systems, Vehicular
Ad hoc Networks (VANET), connected vehicles, and cooperative driving.
Chang Lu is currently a master student of Department of Automation, Tsinghua University. She
received the BEng degree from Tsinghua University in 2016. Her recent research interests
include intelligent transportation system, wireless communication in V2X system, and
performance evaluation of vehicular networks.
Yi Zhang received the BEng degree in 1986 and MEng degree in 1988 both from Tsinghua University,
China, and earned the PhD degree in 1995 from University of Strathclyde in UK. He
is a professor in control science and engineering at Tsinghua University with his
current research interests focusing on intelligent transportation systems. Active
research areas include intelligent vehicle-infrastructure cooperative systems, analysis
of urban transportation systems, urban road network management, traffic data fusion
and dissemination, and urban traffic control and management. His research fields also
cover the advanced control theory and applications, advanced detection and measurement,
and systems engineering.
Danya Yao received the BEng, MEng, and PhD degrees from Tsinghua University in 1988, 1990,
and 1994, respectively. He is a professor in control science and engineering at Tsinghua
University with his current research interests focusing on intelligent transportation
systems. His active areas include intelligent vehicle-infrastructure cooperative systems,
connected vehicles, cooperative driving, high accuracy positioning, advanced driver
assistant system, cooperative driver assistant system, traffic behaviour analysis
and modeling, advanced detection and measurement, cooperative traffic control and
optimization, and distributed sensor networks.