详情

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

项目名称：	Classifying Accident Avoidance Maneuvers on Heterogeneous Road Networks using Exploratory Spatial Data Analysis
摘要：	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).
状态：	Active
资金：	50000.00
资助组织：	Gulf Coast Research Center for Evacuation and Transportation Resiliency<==>Louisiana State University and A&M College
开始时间：	20130101
实际结束时间：	20130630
主题领域：	Design；Highways；Passenger Transportation；Safety and Human Factors