Understanding interactions between drivers and pedestrian features at signalized intersections.

Details

• Creators:
  Lin, Pei-Sung ; Kourtellis, Achilleas ; Wang, Zhenyu ; Guo, Rui
• Corporate Creators:
  University of South Florida. Center for Urban Transportation Research
• Subject/TRT Terms:
  • Signalized intersections
  • Behavior
  • Drivers
  • Pedestrian safety
  • Cross sectional studies
  • Alternatives analysis
  • Automatic data collection systems
  • Pedestrian signs
  • Gender
  • Age groups
• Publication/ Report Number:
  BDV25 TWO 977-16
• Resource Type:
  Tech Report
• Geographical Coverage:
  Florida
• Corporate Publisher:
  Florida. Dept. of Transportation
• Abstract:
  Florida experienced serious pedestrian safety problems and had the highest pedestrian fatality rate in the U.S. from ; 2008–2011. Pedestrian safety at signalized intersections is the most serious concern due to frequent and severe ; conflicts between vehicles and pedestrians. Pedestrian features directly related to pedestrian safety are used to ; increase driver compliance behaviors and reduce vehicle-pedestrian conflicts. This project aimed to explore driver ; behaviors at signalized intersections with four identified pedestrian features—“STOP HERE ON RED,” “NO TURN ON ; RED,” “TURNING VEHICLES YIELD TO PEDESTRIANS,” and “RIGHT ON RED ARROW AFTER STOP” signs—by using an ; innovative safety data source, the Strategic Highway Research Program 2 (SHRP 2) Naturalistic Driving Study (NDS) ; data. To improve data processing efficiency, two software tools were developed to assist researchers in data reduction ; in an automatic and/or semi-automatic manner: (1) the NDS Automatic Video Processing Tool, which automatically ; detects and tracks pedestrians and traffic signal indications in NDS videos, and (2) the NDS Data Reduction and ; Analysis Tool, which assists researchers in reviewing and analyzing NDS videos and sensor data. A cross-sectional ; analysis was used to assess the safety effectiveness of the selected pedestrian features by comparing the observed ; compliant driver behaviors between two groups: a feature group (with the pedestrian feature) and a control group ; (without the pedestrian feature). Chi-square tests were used to determine whether the proportional difference of ; compliant driver behaviors between the two groups was significant.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29582/dot_29582_DS1.pdf
• File Type:
  [PDF - 1.45 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:5e6c48b04f22039e090aff4a7a31da4c48188df1485090d498ca2de63f130c89