Document Type

Report

Publication Date

Winter 2024

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, users cannot customize these maps to meet their special needs. That being said, new maps need to be created for any update or modification. More importantly, these static maps are not able to visualize crash density information because users cannot zoom in or zoom out, and hence they cannot be used to identify any associated spatial and temporal patterns. Subsequently, it is challenging if not impossible for users to conduct additional analyses to determine the causes of traffic crashes in an efficient, effective, and accurate manner. 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 planners, engineers, and policymakers 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.

Comments

Tran-SET Project 22SAUNM36

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