Developing Statistical Models Using Dynamic Network Modeling, Spatiotemporal Analysis, and Theories of AI to Optimize of Transportation System Management

This research is focused on the optimization of transportation system management by developing statistical models involving dynamic network modeling, spatiotemporal analysis, and theories of artificial intelligent (AI). Currently, massive historical data have been generated through ubiquitous sensing technologies, leading to the spring up of data-driven strategies for transportation optimization. However, transportation modeling is still challenging due to the complex space-time dependencies, the directed network topology, and the high computational cost for large-scale networks. The integrated management of urban transportation systems also remains unfulfilled. More efficient cyber-technologies well tackling these issues, if successfully achieved, would significantly improve the urban transportation efficiency and assist better urban governance.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01778676
  • Record Type: Research project
  • Source Agency: National Center for Sustainable Transportation
  • Contract Numbers: DOT 69A3551747114
  • Files: UTC, RIP
  • Created Date: Aug 2 2021 7:55PM