Urban System Modeling and Performance Measurement Using Multiple Data Sources

Details

• Creators:
  Holguin-Veras, Jose ; Ban, Xuegang (Jeff) ; Wang, Xiaokun (Cara)
• Corporate Creators:
  Transportation Informatics University Transportation Center ; Rensselaer Polytechnic Institute ; University of Washington. Department of Civil and Environmental Engineering
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Data fusion
  • Econometric models
  • Freight transportation
  • Traffic data
  • Traffic models
  • Travel behavior
  • Trip generation
  • Urban areas
  • Computer models
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final
• Corporate Publisher:
  Transportation Informatics University Transportation Center
• Abstract:
  As technologies advance, emerging urban data are increasingly available for wide urban areas, which are referred to as Urban Hybrid Traffic Data (U-HTD) in this report. U-HTD provides great opportunities for urban transportation/traffic system performance evaluation, modeling, and management. It also poses great challenges in data collection, processing, storage, and use, including data privacy and security issues. This research investigates the issues of applying U-HTD for urban traffic modeling, including (i) fusion methods of mobile and fixed data, (ii) freight transportation modeling using multiple sources of data, and (iii) a new econometric method for analyzing interaction behavior data.
• Format:
  PDF
• Funding:
  DTRT13-G-UTC48
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/63602/dot_63602_DS1.pdf
• File Type:
  [PDF - 3.35 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:204fd6477c9ed706d5c05fd446df491d4c16218b1f25e19fc6be1f307e7cc8d013e043172e117fe53b18bdd8bbfc9d28e4ae5c1d8b45ae29746e9160692b9891