Presented our Work on smart IoT prototype for transportation at TRB 96th Annual Meeting

Presented our Work on smart IoT prototype for transportation at TRB 96th Annual Meeting

We presented our work on a smart IoT prototype for transportation at 96th Transportation Research Board (TRB) Annual Meeting. This technique can be combined with the smart traffic signals to gain more potential in achieving safer and more efficient urban mobility. Making inappropriate driving decisions at signalized intersections is one of the major reasons causing accidents. In this paper, the authors present an integrated in-vehicle decision su

Presented our work on data-driven smart mobility at the Workshop on Smart Cities & Connected Communities

Presented our work on data-driven smart mobility at the Workshop on Smart Cities & Connected Communities

We presented our work on data-driven smart mobility at the Workshop on Smart Cities & Connected Communities. This Workshop aims to bring together leaders in community and economic development, government, science, and technology to chart a course for future R&D investment and build collaborative private, non-profit, and public sector partnerships that address sustainability challenges for livable communities. Our work combined social medi

Work on leveraging optimization with mixed individual and social learning appears on Applied Soft Computing

Work on leveraging optimization with mixed individual and social learning appears on Applied Soft Computing

Our work on leveraging optimization with mixed individual and social learning in CGO appears on Applied Soft Computing. You can free access to the article through this link. X.-F. Xie, Z.-J. Wang. Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning. Applied Soft Computing, 2017, 50: 223-234. [DOI] We present CGO-AS, a generalized Ant System (AS) implemented in the framework of Coopera

Work on analyzing traffic impacts published on Journal of Transportation Engineering

Work on analyzing traffic impacts published on Journal of Transportation Engineering

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). Y. Gu, Z. S. Qian, X.-F. Xie, et al. An unsupervised learning approach for analyzing traffic impacts under arterial road closures: Case study of East Liberty in Pittsburgh. Journal of Transportation Engineering ASCE, 20

Presented our work on combinatorial optimization at International Joint Conference on Artificial Intelligence (IJCAI)

Presented our work on combinatorial optimization at International Joint Conference on Artificial Intelligence (IJCAI)

We presented our work on exploiting problem structure in combinatorial landscapes at the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York. X.-F. Xie, Z.-J. Wang. Exploiting problem structure in combinatorial landscapes: A case study on pure mathematics application. International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, USA, 2016: 2683-2689.   IJCAI is the premier conference bringing togeth

As the lead inventor, granted the patent for smart and scalable urban traffic control

As the lead inventor, granted the patent for smart and scalable urban traffic control

As the lead inventor, 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, No. 9,159,229, 2015. Scalable urban traffic control (surtrac) system has been developed to address current challenges and offers a new approach to real-time, adaptive control of traffic signal networks. The methods an

Work with the Polymath project was featured by Notices of the AMS

Work with the Polymath project was featured by Notices of the AMS

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 being primary participants of the Polymath8 project that improved dramatically the bound of prime gaps, based on the stunning work of  Dr. Yitang Zhang. Read

Presented work on Smart Urban Traffic Control at TFHRC

Presented work on Smart Urban Traffic Control at TFHRC

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 of traffic signal networks. The system exploits a novel conceptualization of the signal network control problem as a decentralized process, where each intersection in the n

PopCity: Pittsburgh as a driving force behind transportation technology

PopCity: Pittsburgh as a driving force behind transportation technology

… Pittsburgh boasts a comparable technology with Scalable Urban Traffic Control, or Surtrac, an artificial intelligence-based system… Like adaptive traffic signals, Surtrac, which was deployed at intersections in East Liberty earlier this year, responds in real-time as opposed to working on a fixed-time cycle. While the system operates similarly to PennDOT’s adaptive signals, Traffic 21 Executive Director Stan Caldwell explains that S

Presented our work on improving urban mobility at TRB 94th Annual Meeting

Presented our work on improving urban mobility at TRB 94th Annual Meeting

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 better understand and improve urban mobility networks. Transportation Research Board (TRB) Annual Meeting, Washington, DC, USA, 2015. An unsupervised learning appro