Buffalo-Niagara Transportation Data-warehouse Prototype and Real-time Incident Detection

Details

• Creators:
  Bartlett, Andrew ; Sadek, Adel W.
• Corporate Creators:
  State University of New York at Buffalo. Department of Civil, Structural, and Environmental Engineering
• Corporate Contributors:
  University Transportation Centers Program (U.S.)
• Subject/TRT Terms:
  • Automatic incident detection
  • Incident detection
  • Incident management
  • Automatic data collection systems
  • Data collection
  • Databases
  • Database management systems
  • Data warehouse
  • automated incident detection algorithms
  • inclement
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  Buffalo (New York) ; United States
• Corporate Publisher:
  University Transportation Centers Program (U.S.)
• Description:
  In the traffic engineering field, study and analysis often requires the use of multiple datasets. The nature of these data often makes them difficult to work with, especially in conjunction with one another. The overall goal of this study was to not only design a solution to this problem for the Buffalo-Niagara Region of western New York, but to demonstrate its usefulness through a specific application. To meet these objectives a prototype data warehouse was first created. The warehouse was and then tested on two applications. In the first application, the warehouse was used in the creation and validation of three incident detection strategies: a speed threshold detection system, a binary probit model which uses only speed data, and a binary probit model which uses a combination of speed and volume data. In the second application, the data was used to test the accuracy of weather impact models which had been previously developed.
• Format:
  PDF
• Funding:
  DTRT13-G-UTC48
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/34477/dot_34477_DS1.pdf
• File Type:
  [PDF - 1.46 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:f906e841aff35f43d4d423d376c2c8a15eeb8076d2f8f102fb2d39b898d462cf