Assessment of Driver Behavior at Freeways and Ramps Using SHRP2 Data

• Activity Number: 655 - Statistical Analysis of Naturalistic Driving Study Data: How You Slice and Dice Matters
• Type: Topic Contributed
• Date/Time: Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
• Sponsor: Transportation Statistics Interest Group
• Author(s): Bahar Dadashova* and Karen Dixon and Sue Chrysler and Raul Avelar
• Companies: Texas A&M University and Texas A&M Transportation Institute and Texas A&M Transportation Institute and Texas A&M Transportation Institute
• Keywords: SHRP2 ; Classification ; Freeways ; Ramps ; Driver ; Behaviour

Abstract

Traditional measures of speed obtained through traffic observations are not based on detailed information about the related drivers and vehicles. Naturalistic studies such as SHRP2 can mitigate this issue by combining the key data on driver, roadway and speeding behavior. The objective of this study is to assess drivers' responses at freeways and adjacent ramps to make an inference about freeway merging and diverging behaviors. For this purpose, 2,934 trip time series of 90 drivers were analyzed. Authors conducted statistical analysis of metadata by classifying driver speed profiles and quantifying the relationships. The analysis of freeway data is complete at the time of this submission and the ramp data are currently being analyzed. Results of speeding behavior on freeways indicated that there is a relationship between speeding and driver characteristics such as age group, sensation seeking, attention deficit hyperactivity disorder, and depth perception. The data also provided insights into various spatial and temporal factors. The results of the analysis will enable the researchers to quantify the relationships among driver, roadway, and speeding behavior.