A Proactive Approach for Intersection Safety Visualization based on Real-Time Radar Sensor Data

Intersection crashes constitute a significant portion of total crashes nationwide, which amount to about 44 percent of all reported crashes. Traditional methods of this type of crash visualization include intersection collision diagram and GIS-based intersection crash hot spot map. Since all these methods are based on historical crash data, such collision diagrams and intersection crash hot spot maps will only be created until crash happens. It is necessary to convert these reactive method to be proactive before real crashes happen. An approach that can identify, classify, quantify, and cluster traffic conflicts with various types at intersection using real-time radar sensor data was developed. Using this approach, the traffic conflicts data that will be visualized in the Intersection Proactive Safety Visualization system are actually true representation of the intersection safety issues, rather than commonly viewed as surrogate safety measures. The results of a pilot study have shown the potential and verified the feasibility of developing IPSV with visulation of traffic conflicts of different conflict types as well as visulation of contour/head map showing conflict severity’s locational distribution. The system is unique as it identifies traffic safety issues by using a proactive safety measure reflected by traffic conflicts and its severity assessed by Time-to-Collision.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABJ50 Standing Committee on Information Systems and Technology.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Ma, Muting
  • Li, Zhixia
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Tables;
• Pagination: 5p

Subject/Index Terms

• TRT Terms: Crash risk forecasting; Intersections; Real time data processing; Traffic safety; Visualization
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01697650
• Record Type: Publication
• Report/Paper Numbers: 19-01628
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM