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.

• Record URL:
  https://ncst.ucdavis.edu/project/developing-statistical-models-using-dynamic-network-modeling-spatiotemporal-analysis-and

Language

• English

Project

• Status: Active
• Funding: $15333
• Contract Numbers:

  DOT 69A3551747114

• Sponsor Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  University of California, Davis

  1 Shields Ave
  Davis, California  United States  95616
• Managing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Davis

  1 Shields Ave
  Davis, California  United States  95616
• Project Managers:

  Iacobucci, Lauren

• Performing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Davis

  1 Shields Ave
  Davis, California  United States  95616
• Principal Investigators:

  Qi, Yanlin

  Zhang, Michael

• Start Date: 20201001
• Expected Completion Date: 20230930
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Governance; Mathematical models; Networks; Optimization; Statistical analysis; Technological innovations; Transportation system management; Urban transportation
• Subject Areas: Planning and Forecasting; Transportation (General);

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 4 2021 2:45PM