Enhancing Collaboration Through Web-Based Visualization and Analysis of Traffic Crash Data
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2024-06-01
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Edition:Final Report – June 2023 to May 2024
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Abstract:It is widely accepted that road traffic safety is a significant public health issue. One of the effective ways to improve road traffic safety is analyzing crash data to understand where traffic accidents occur, identify associated spatial and temporal patterns, and determine causation. In the State of New Mexico, locations of traffic accidents are currently visualized using a variety of static maps. Although these statics maps are easier to create and producers can control how users view the data, they are not able to visualize crash density information because users cannot zoom in or zoom out, and hence cannot identify any associated spatial and temporal patterns. To solve the problems inherent with the current static maps, this research project focused on exploring the utility of dynamic and interactive web mapping and visualization techniques to visualize and analyze traffic crash data with the aim of helping transportation professionals determine the causes of traffic crashes and identify high-crash locations and other associated spatial and temporal patterns, and ultimately, achieving improved safety, enhanced resiliency, and increased efficiency for road users. This was achieved exclusively with open source tools and the implementation of well-known geospatial statistical analysis tools proven effective in traffic safety analysis.
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