Classifying Accident Avoidance Maneuvers on Heterogeneous Road Networks using Exploratory Spatial Data Analysis

Are abnormal maneuvers and other conflicts within the traffic stream directly associated with road classifications, speed limits, congestion, roadway configuration, signaling, weather, and other traffic related factors? Contemporary transportation research is focused on developing a broader understanding of these relationships within the broader context of transportation infrastructure design and driver behavior with traffic congestion and vehicle accidents. With many years of collected data detailing the number of vehicle-miles traveled and the frequency of traffic accidents, a multi-disciplinary research agenda has emerged in which innovative techniques for identifying the complex interactions between road geometry, driver characteristics, and environmental conditions are providing unique insights into the dynamics of human cognitive behavior relative to various exogenous and endogenous user-network factors. As with most investigations, the ability to fully develop a meaningful research strategy is dependent upon techniques that can effectively parameterize the interactions between (a) the driver and the road network, and (b) how these relationships dynamically evolve over time and space. This study proposes to address these issues by utilizing exploratory spatial data analysis to better define a framework for understanding the relationships expressed between individual driving behavior (e.g., sudden vehicle maneuvers, driver demographics, accident frequency) and road infrastructure characteristics (e.g., network topography, geometry, and environmental conditions).

• Record URL:
  http://www.evaccenter.lsu.edu/pub/12-16.pdf
• 

Language

• English

Project

• Status: Active
• Funding: $50000.00
• Contract Numbers:

  127155160

• Sponsor Organizations:

  Gulf Coast Research Center for Evacuation and Transportation Resiliency

  Louisiana State University
  3221 P.F. Taylor Hall
  Baton Rouge, LA  United States  70803

  Louisiana State University and A&M College

  202 Himes Hall
  Baton Rouge, LA  United States  70803
• Principal Investigators:

  Kent, Joshua

• Start Date: 20130101
• Expected Completion Date: 0
• Actual Completion Date: 20130630
• Source Data: RiP Project 34185

Subject/Index Terms

• TRT Terms: Crash avoidance systems; Crash causes; Maneuverability; Traffic congestion; Traffic crashes; Traffic data; Weather conditions
• Uncontrolled Terms: Highway geometrics
• Subject Areas: Design; Highways; Passenger Transportation; Safety and Human Factors;

Filing Info

• Accession Number: 01481234
• Record Type: Research project
• Source Agency: Gulf Coast Research Center for Evacuation and Transportation Resiliency
• Contract Numbers: 127155160
• Files: UTC, RIP
• Created Date: May 14 2013 1:00AM