Prediction of Safety Opportunities Using Automated Traffic Signal Performance Measures

Details

• Creators:
  Abdel-Aty, Mohamed A. ; Islam, Zubayer ; Joo, Yang-Jun ; Anik, BM Tazbiul Hassan
• Corporate Creators:
  University of Central Florida. Department of Civil, Environmental and Construction Engineering
• Corporate Contributors:
  Florida. Department of Transportation
• Subject/TRT Terms:
  Algorithms Automated Highway Systems Automated Traffic Signal Cluster Analysis Databases Evaluation Intersections Left Turn Phase Mathematical Prediction Pedestrian Safety Performance Measurement Quantitative Metrics Signalization Testing Traffic Signal Timing

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• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Florida
• Edition:
  Final Report
• Corporate Publisher:
  Florida. Department of Transportation
• Abstract:
  This report presents the Smart Signal Performance Monitor (SSPM) system, developed to enhance intersection safety in Florida. The SSPM utilizes Automated Traffic Signal Performance Measures (ATSPM) to provide data-driven signalization recommendations. Raw ATSPM data is transformed into performance measures like Signal Phasing and Timing (SPaT) metrics, vehicle volume, conflicts, red-light running (RLR), and pedestrian activity. Algorithms were developed to recommend six key strategies: Yellow/Red Clearance Time Adjustment using a causal forest model; Protected vs. Permitted Left-Turn Phasing via gap analysis and volume estimation; Pedestrian Recall using a Beta-Binomial model and k-means clustering; and Leading Pedestrian Interval (LPI) with No Right Turn on Red (NRTOR) based on pedestrian-vehicle conflict propensity. The SSPM architecture features a Transform-Recommend-Rank (TRR) Server (for processing, recommendations, and ranking intersections by a composite safety score), a Database Server, and a Frontend Server with interactive dashboards. Tested with June 2024 data from 19 Seminole County intersections, the SSPM demonstrates an end-to-end pipeline for monitoring intersection safety and recommendations for signal strategies. Future work includes integrating live ATSPM feeds and expanding system coverage, which will provide FDOT with a network-wide proactive management tool for intersection safety.
• Format:
  PDF
• Funding:
  BED26-977-16
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:51b35d8c6d17f180c1f751f8380a36a251c9886458b79d2b8640c06df449d0d6bd1c34c8a5f36094921fb191a01a8f75029f293a5e334e3594fa43d5562da3b3
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88911/dot_88911_DS1.pdf
• File Type:
  [PDF - 11.69 MB ]