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:
  Age Groups Alternatives Analysis Automatic Data Collection Systems Behavior Cross Sectional Studies Drivers Gender Pedestrian Safety Pedestrian Signs Signalized Intersections
• 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.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:5e6c48b04f22039e090aff4a7a31da4c48188df1485090d498ca2de63f130c89
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29582/dot_29582_DS1.pdf
• File Type:
  [PDF - 1.45 MB ]