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
Here are some recent case studies that WIOMAX researchers and engineers have done on smart transportation and road safety studies.
Our work on combined traffic control and route choice optimization for traffic networks with disruptive changes appears on Transportmetrica B: Transport Dynamics.
Our work on bike sharing data analysis and implications for data-driven decision supports appears on Journal of Transport Geography.
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
WIOMAX has joined the national Road to Zero Coalition, a partnership between public and private entities dedicated to eliminating traffic deaths by 2050. Highway traffic safety is a serious issue raising increased public concerns. In USA, 35,092 people died and
We presented our work on traffic crash data analysis at the 97th Transportation Research Board (TRB) Annual Meeting. X. Xie and Z. Wang, “Multiscale crash analysis: A case study of integrating FARS, Maryland’s crash data, and Montgomery County’s traffic violation data,”
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 sustainable urban mobility. The
Our Co-Founder, Dr. Xie, presented our work on Smart Mobility for Sustainable Urban Communities at the Workshop on Smart Cities & Connected Communities. Sponsored by the National Science Foundation (NSF), this workshop aims to bring together leaders in community and economic development, government,
Our work on leveraging optimization with mixed individual and social learning in cooperative group optimization (CGO) appears on Applied Soft Computing: X. Xie and Z. Wang, “Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning,”