Evaluating the relationship between the driver and roadway to address rural intersection safety using the SHRP 2 naturalistic driving study data.

Details

• Creators:
  Oneyear, Nicole ; Hallmark, Shauna L. ; Wang, Bo
• Corporate Creators:
  Iowa State University. Center for Transportation Research and Education ; Iowa State University. Institute for Transportation
• Corporate Contributors:
  Iowa. Dept. of Transportation ; United States. Federal Highway Administration
• Subject/TRT Terms:
  Automobile Drivers Crash Countermeasures Crash Mitigation Driver Braking Behavior Highway Safety Human Factors In Crashes Intersections Naturalistic Driving Study Rural Highways Rural Intersection Safety SHRP 2 Data

  More +
• Publication/ Report Number:
  InTrans Project 13-476
• Resource Type:
  Tech Report
• Geographical Coverage:
  Iowa
• Corporate Publisher:
  Iowa. Dept. of Transportation
• Abstract:
  Rural intersections account for 30% of crashes in rural areas and 6% of all fatal crashes, representing a significant but poorly
  
  understood safety problem. Transportation agencies have traditionally implemented countermeasures to address rural intersection
  
  crashes but frequently do not understand the dynamic interaction between the driver and roadway and the driver factors leading to
  
  these types of crashes.
  
  The Second Strategic Highway Research Program (SHRP 2) conducted a large-scale naturalistic driving study (NDS) using
  
  instrumented vehicles. The study has provided a significant amount of on-road driving data for a range of drivers. The present
  
  study utilizes the SHRP 2 NDS data as well as SHRP 2 Roadway Information Database (RID) data to observe driver behavior at
  
  rural intersections first hand using video, vehicle kinematics, and roadway data to determine how roadway, driver, environmental,
  
  and vehicle factors interact to affect driver safety at rural intersections.
  
  A model of driver braking behavior was developed using a dataset of vehicle activity traces for several rural stop-controlled
  
  intersections. The model was developed using the point at which a driver reacts to the upcoming intersection by initiating braking
  
  as its dependent variable, with the driver’s age, type and direction of turning movement, and countermeasure presence as
  
  independent variables. Countermeasures such as on-pavement signing and overhead flashing beacons were found to increase the
  
  braking point distance, a finding that provides insight into the countermeasures’ effect on safety at rural intersections. The results
  
  of this model can lead to better roadway design, more informed selection of traffic control and countermeasures, and targeted
  
  information that can inform policy decisions.
  
  Additionally, a model of gap acceptance was attempted but was ultimately not developed due to the small size of the dataset.
  
  However, a protocol for data reduction for a gap acceptance model was determined. This protocol can be utilized in future studies
  
  to develop a gap acceptance model that would provide additional insight into the roadway, vehicle, environmental, and driver
  
  factors that play a role in whether a driver accepts or rejects a gap.
  
  
• Format:
  PDF
• Funding:
  InTrans Project 13-476
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:e5c9d50fff2bf569e3274ef0cb735a4581a72bc06526eee5b011c9a549821ff7
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/30688/dot_30688_DS1.pdf
• File Type:
  [PDF - 1.75 MB ]