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:
  • Rural highways
  • Highway safety
  • Intersections
  • Human factors in crashes
  • Automobile drivers
  • crash countermeasures
  • crash mitigation
  • driver braking behavior
  • naturalistic driving study
  • rural intersection safety
  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.
  More +
• Format:
  PDF
• Funding:
  InTrans Project 13-476
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/30688/dot_30688_DS1.pdf
• File Type:
  [PDF - 1.75 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:e5c9d50fff2bf569e3274ef0cb735a4581a72bc06526eee5b011c9a549821ff7