摘要: |
Roadway departure and speeding related crashes are the dominant types of crashes on rural roadways. As a result, the Texas Strategic Highway Safety Plan (SHSP) has identified them as two of the seven research emphasis areas for 2017-2022. Conventional crash risk analysis typically omits real-time speed, real-time volume, and weather data, significantly limiting safety predictive methods. To mitigate this research gap, the following three national databases can be combined: (1) National Performance Management Research Data Set (NPMRDS) with passenger and freight travel time data sets for the National Highway System (NHS) and other roadways; (2) Travel Monitoring Analysis System (TMAS) data with traffic volume data through both temporary traffic counting and continuous traffic counting programs; and (3) Real-time weather data from the National Oceanic and Atmospheric Administration (NOAA).Rural traffic crashes account for a disproportionate number of fatalities in comparison to urban crashes. In 2017, 53 percent of Texas crash fatalities occurred on rural roadways. Further research is necessary to reduce rural roadway crashes and allocate resources for rural roadway safety improvements, particularly research focusing on the SHSP areas of emphasis, including roadway departure and speeding-related crashes. The findings of such research should be integrated into TxDOT’s future vision plans.To achieve the project goals, the research team will leverage ongoing staff leadership and engagement with research from both the Rural Speed Safety Project for USDOT Safety Data Initiative (SDI) as well as the National Cooperative Highway Research Program (NCHRP 17-76). This research will provide updated safety performance functions for rural roadways and a decision support tool for exploring crash risk at both segment and segment-temporal levels. |