Integration of Microscopic Big Traffic Data in Simulation-Based Safety Analysis

The main objectives of this study were to explore different vehicle detection systems, focusing on the most widely deployed infrastructure-based sensing technologies. This project used traffic data from two point-based over-roadway detection systems, namely the Microwave Vehicle Detection System (MVDS) and the Video Image Processing (VIP) system, and data from a segment-based probe-vehicle system, the Automatic Vehicle Identification (AVI) system, to conduct operation and safety evaluations. Applications of these types of data for efficiency and safety evaluation, and simulation, were investigated. To achieve the proposed objectives, several tasks were carried out. Task 1: Identify and collect continuous measurements of traffic conditions at different levels: segment-based, point-based, and vehicle based; Task 2: Validate the use of different microscopic data sources; Task 3: Measure traffic efficiency: congestion measurement and travel time reliability in real-time; Task 4: Evaluate traffic safety: relationship between traffic flow (speed, flow, density, congestion) and crash occurrence, crash precursors in real-time; Task 5: Simulate traffic flow under adverse weather conditions in microsimulation. Real-time traffic data (combined as needed with weather data) could be used to tune traffic flow under different conditions in micro-simulation; Task 6: Investigate the use of video-based data; Task 7: Develop a simulation model using video-based parameters; Task 8: Use the new simulation model to investigate dilemma zone decisions at signalized intersections.

• Record URL:
  http://safersim.nads-sc.uiowa.edu/final_reports/UCF-1-Y1_Report.pdf
• 
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of Central Florida, Orlando

  Electric Vehicle Transportation Center, College of Engineering and Computer Science
  Department of Civil, Environmental and Construction Engineering, 4000 Central Florida Boulevard, P.O. Box 162450
  Orlando, FL  United States  32816-2450

  Safety Research Using Simulation University Transportation Center (SaferSim)

  University of Iowa
  Iowa City, IA  United States  52242

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Abdel-Aty, Mohamed
  • Shi, Qi
  • Wang, Ling
  • Wu, Yina
  • Radwan, Essam
  • Zhang, Binya
• Publication Date: 2016-3

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; Photos; References; Tables;
• Pagination: 134p

Subject/Index Terms

• TRT Terms: Automatic vehicle detection and identification systems; Crash rates; Decision making; Dilemma zone; Microscopic traffic flow; Real time information; Traffic congestion; Traffic data; Traffic simulation; Travel time; Video; Video imaging detectors
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01599217
• Record Type: Publication
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: May 20 2016 3:47PM