Emerging technologies such as automated vehicles, advanced data analytics and machine learning, and on-demand ride services will not only fundamentally alter the transportation landscape but provide new data that can be used for the purposes of transportation planning and analysis. This project is examining the properties of these new data and identifying potential applications. The goals of Phase I are to develop a preliminary framework of methods for integrating emerging and conventional data from diverse sources and to identify planning applications that closely align with state and federal DOTs’ missions related to connected and autonomous vehicles, performance monitoring, and safety. Advance data analytics and machine learning methods will be investigated for use in development of the framework. Phase I will also include two technical focus group discussions involving participants from academia, government, the data science community, commercial data providers, and private on-demand rider service operators and automobile manufacturers.
Principal Investigators:
Jeff Ban, Civil and Environmental Engineering, UW
Cynthia Chen, Civil and Environmental Engineering, UW
Sponsor: WSDOT
WSDOT Technical Monitor: Natarajan Janarthanan
WSDOT Project Manager: Doug Brodin
Scheduled completion: January 2019