WIOMAX has participated as an transportation action cluster in the Global City Teams Challenge (GCTC) program. GCTC is a collaborative platform organized by National Institute of Standards and Technology (NIST) for the development of smart cities and connected communities. The
Our work on a smart IoT prototype for road safety appears on Transportation Research Part C: Emerging Technologies. X. Xie and Z. Wang, “SIV-DSS: Smart in-vehicle decision support system for driving at signalized intersections with V2I communication,” Transportation Research Part
Road traffic safety is a serious issue raising increased public concerns. According to the 2015 report by World Health Organization (WHO), globally there were 1.25 million road traffic deaths in 2013, and up to 50 million more per year suffering
Our co-founder, Dr. Wang attended the International Consumer Electronics Show (CES) held at Las Vegas, Nevada.CES is one of the largest global stages for innovation. According to the 2017 statistics, 184,279 attendees and more than 4000 exhibiting companies were attracted
We proposed a smart IoT prototype to make in-vehicle decisions for improving both traffic safety and mobility. This technique can be combined with the smart traffic signals to gain more potential in achieving safer and more sustainable urban mobility. X. Xie and
Our co-founder, Dr. Xie, presented his work on smart urban signal networks and latest progresses on multimodal urban traffic, big data and urban informatics, and other novel transportation works at Virginia Tech Transportation Institute (VTTI).
The system is a real-time, adaptive traffic control system (or the Internet of Smart Intersections, in the sense of Smart IoT) that optimally schedules dynamic traffic flows in complex urban road networks, by integrating traffic theory with artificial intelligence (AI). X.-F. Xie, et al.
For solving problems in multimodal traffic and transportation networks and achieving sustainable urban mobility, we have worked on creating Smart and Scalable Urban Signal Networks and multimodal extensions, designing Intelligent Route Choice Framework, and utilizing Big Data and Urban Informatics. Publications X.-F. Xie, Z.-J.
Traffic congestion significantly degrades the quality of life in urban environments. It results in lost time, wasted fuel resources and reduced air quality for urban residents. Recent work in real-time, schedule-driven control of traffic signal networks has introduced new possibilities
Route choice systems (RCS) and trafﬁc control systems (TCS) constitute two major approaches to mitigate congestion in urban road networks for achieving sustainable urban mobility. The interaction between signal control and route choice is often captured in the combined trafﬁc