MRI 4, Developing an Integrated Framework for Safety and Mobility Analysis

With the advancement of detection and communication technologies, more data has been generated by various sensors. This data contains large amount of information on infrastructure condition and operating characteristics as well as traveler behavior across temporal and spatial domain. These data items present an opportunity for better understanding the interactions between the travelers and the traveling environment for better safety monitoring and design of safety improvement strategies. However, due to the enormous amount of the data and various sources with different format, how to use these data sources effectively remains a challenge. The objective of this study is to develop an integrated framework for safety and mobility analysis. The University of Kentucky (UK) team will conduct research on data source review, data needs analysis, data integration issues in the aspects of acquisition, quality assurance, data fusion. After integrating big data from various sources, applications that enhance safety and mobility performances will be developed.

Language

• English

Project

• Status: Completed
• Funding: $93000.00
• Contract Numbers:

  13-UKY-MRI4

• Sponsor Organizations:

  Southeastern Transportation Center

  University of Tennessee
  309 Conference Center Building
  Knoxville, TN  United States  37996-4133
• Performing Organizations:

  University of Kentucky, Lexington

  Kentucky Transportation Center
  College of Engineering, 176 Raymond Building
  Lexington, KY  United States  40506-0281
• Principal Investigators:

  Souleyrette, Reginald

  Gibson, James

  Chen, Mei

• Start Date: 20140601
• Expected Completion Date: 0
• Actual Completion Date: 20150531
• Source Data: RiP Project 37110

Subject/Index Terms

• TRT Terms: Condition surveys; Data analysis; Data fusion; Highway operations; Highway safety; Mobility; Travel behavior
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01537222
• Record Type: Research project
• Source Agency: University of Kentucky, Lexington
• Contract Numbers: 13-UKY-MRI4
• Files: RIP
• Created Date: Sep 4 2014 1:00AM