The work on analyzing traffic impacts under arterial road closures using machine learning techniques on traffic flow data was published online on Journal of Transportation Engineering by American Society of Civil Engineers (ASCE). “An unsupervised learning approach for analyzing traffic
We presented our work on exploiting problem structure in combinatorial landscapes at the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York. IJCAI is the premier conference bringing together the international AI community in communicating the advances and celebrating
As the lead inventor, our co-founder Dr. Xie is granted the U.S. patent for the smart and scalable urban traffic control system. X.-F. Xie, et al. Smart and Scalable Urban Signal Networks: Methods and Systems for Adaptive Traffic Signal Control. U.S. Patent,
The Polymath8 participants was featured on the June/July cover of Notices of the American Mathematical Society, the world’s most widely read mathematical journal. The photographs on the cover portray thirteen of the fifteen people, including a team of top mathematicians and Dr. Xie, as
As the lead inventor of smart and scalable urban traffic control, Dr. Xie presented his work at FHWA Turner-Fairbank Research Center. Scalable urban traffic control system has been developed to address current challenges and offers a new approach to real-time, adaptive control
During January 11-14, we presented our work on understanding and improving urban mobility at the Transportation Research Board (TRB) 94th Annual Meeting in the Walter E. Washington Convention Center, Washington, DC. An empirical study of combining participatory and physical sensing to
This work with the Polymath8 project was to find narrow gaps between primes. … Mal steuerte Xiao-Feng Xie einen Vorschlag bei, ein Robotikexperte aus Pittsburgh. Mal meldete sich Terence Tao aus Los Angeles, den einige für den brillantesten aller lebenden Mathematiker halten.
Presented the work on tackling real-world changes and the integration with a unified route choice framework for the smart and scalable urban traffic control system at the Transportation Research Board (TRB) Annual Meeting, Washington, DC.
Reported by the Breathe Project: A unique partnership has piloted a new adaptive traffic signal control technology that promises to dramatically reduce harmful vehicle emissions and frustratingly long travel times through urban neighborhoods. With funding support from three Pittsburgh foundations,
The challenge was to solve the Magic Square Problem (constrained and un-constrained versions) using modern heuristic methods, in an international optimisation competition organized by SolveIT Software Pty Ltd, a leading provider of enterprise software for supply & demand optimisation and