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

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

Joined the Program Committee Board for International Workshop on the Internet of Agents (IoA)

Joined the Program Committee Board for International Workshop on the Internet of Agents (IoA)

Our Co-Founder, Dr. Xie, is pleased to join the Program Committee Board for the First International Workshop on the Internet of Agents (IoA). Here is the CFP: On the confluence between Multi-Agent Systems (MAS) and the Internet of Things (IoT), there is a strong ongoing trend for the IoT to seize the intelligent nature/architecture of the MAS. In the Internet of Agents (IoA) workshop, we aim to understand the current range of nascent network cent

Work on Unified Route Choice Framework was published on Transportation Research Record

Work on Unified Route Choice Framework was published on Transportation Research Record

The unified route choice framework integrates route choice  (RCS) and traffic control systems (TCS) to mitigate congestion in urban road networks for achieving sustainable urban mobility. Unified route choice framework: Specification and application to urban traffic control. Transportation Research Record: Journal of the Transportation Research Board, 2014, 2466: 105-113. [DOI] Abstract: The route choice system and the traffic control system (TCS)

Work with the Polymath project was published on Algebra & Number Theory

Work with the Polymath project was published on Algebra & Number Theory

The work with the Polymath project was published on Algebra & Number Theory. D. H. J. Polymath. New equidistribution estimates of Zhang type. Algebra & Number Theory, 2014, 8(9): 2067-2199. [DOI] Polymath8a authors: Wouter Castryck, Etienne Fouvry, Gergely Harcos, Emmanuel Kowalski, Philippe Michel, Paul Nelson, Eytan Paldi, Janos Pintz, Andrew V. Sutherland, Terence Tao, Xiao-Feng Xie Abstract: We prove distribution estimates for primes

Work with the Polymath project was published on Research in the Mathematical Sciences

Work with the Polymath project was published on Research in the Mathematical Sciences

The work with the Polymath project was published on Research in the Mathematical Sciences. D. H. J. Polymath. Variants of the Selberg sieve, and bounded intervals containing many primes.Research in the Mathematical Sciences, 2014, 1(12): 1-83. [DOI] Here is the list of Polymath8b authors (arranged in alphabetical order of surname): Ignace Bogaert, Aubrey de Grey, Gergely Harcos, Emmanuel Kowalski, Philippe Michel, James Maynard, Paul Nelson, Pace

Work on cooperative group optimization system was published on Soft Computing

Work on cooperative group optimization system was published on Soft Computing

The cooperative group optimization system (CGOS) consists of a group of compact agents cooperating with their peers in a sharing environment for realizing a common intention of finding high-quality solution(s) based on the internal landscape representation of an optimization task. Xiao-Feng Xie, Jiming Liu, Zun-Jing Wang. A cooperative group optimization system. Soft Computing, 2014, 18(3): 469-495. [DOI] Abstract: A cooperative group optimizatio

Work on Smart Urban Traffic Control published on Transportation Research Part C

Work on Smart Urban Traffic Control published on Transportation Research Part C

Schedule-driven intersection control (SchIC) is the core control engine (the brain) of the smart and scalable urban traffic control system (SurTrac). X.-F. Xie, S. Smith, L. Lu, G. Barlow. Schedule-driven intersection control. Transportation Research Part C: Emerging Technologies, 2012, 24: 168-189. [DOI] Model-based intersection optimization strategies have been widely investigated for distributed traffic signal control in road networks. Due to