The scientists and engineers at WIOMAX frequently create research reports and publish the results of their work in academic and industry journals and conferences. To request a copy of one of our publications or seek potential collaborations and partnerships, please contact us.

  • X.-F. Xie, Z. J. Wang. Combined traffic control and route choice optimization for traffic networks with disruptive changes. Transportmetrica B: Transport Dynamics, 7(1): 814-833, 2019.
  • X.-F. Xie, Z. J. Wang. Smart In-Vehicle Decision Support Systems and Methods with V2I Communications for Driving through Signalized Intersections. U.S. Patent Pending, No. 16/237,683, 2019.
  • X.-F. Xie, Z.-J. Wang. SIV-DSS: Smart In-Vehicle Decision Support System for driving at signalized intersections with V2I communication. Transportation Research Part C, 2018, 90: 181-197.
  • X.-F. Xie, Z. J. Wang. Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area. Journal of Transport Geography, 2018, 71: 84-102.
  • X.-F. Xie, Z.-J. Wang. Multiscale crash analysis: A case study of integrating FARS, Maryland’s crash data, and Montgomery County’s traffic violation data. Transportation Research Board (TRB) Annual Meeting, Washington, DC, USA, 2018.
  • X.-F. Xie, Z. J. Wang. Uncovering Urban Mobility and City Dynamics from Large-Scale Taxi Origin-Destination (O-D) Trips: Case Study in Washington DC Area. Technical Report No. WIO-TR-18-003, WIOMAX, 2018.
  • X.-F. Xie. Key Applications of the Smart IoT to Transform Transportation Systems. Technical Report No. WIO-TR-18-001, WIOMAX, 2018.
  • 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.
  • X.-F. Xie, Z.-J. Wang. Integrated in-vehicle decision support system for driving at signalized intersections: A prototype of smart IoT in transportation. Transportation Research Board (TRB) Annual Meeting, Washington, DC, USA, 2017.
  • 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.
  • Z.-J. Wang, X.-F. Xie. Optimized particle-based computational simulation method for studying bubble nucleation. International Symposium on Advances in Computational Heat Transfer (CHT), Piscataway, NJ, USA, 2015.
  • X.-F. Xie, Z.-J. Wang. 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.
  • Y. Gu, Z. 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. Transportation Research Board (TRB) Annual Meeting, Washington, DC, USA, 2015.
  • X.-F. Xie, Z.-J. Wang. Combining physical and participatory sensing in urban mobility networks. Workshop on Big Data and Urban Informatics (BDUIC), Chicago, IL, USA, 2014: 859-876.
  • X.-F. Xie, J. Liu, Z.-J. Wang. A cooperative group optimization system. Soft Computing, 2014, 18(3): 469-495.

Please see here for previous publications of our team members.