Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics
This study explores traffic crash narratives in an attempt to inform and enhance effective
traffic safety policies using text-mining analytics. Text mining techniques are employed to …
traffic safety policies using text-mining analytics. Text mining techniques are employed to …
Deep Learning and Clustering-Based Analysis of Text Narratives for Identification of Traffic Crash Severity Contributors
Crash narratives provide valuable information to understand traffic crashes and develop
roadway safety countermeasures. However, manually reading long text narratives is time …
roadway safety countermeasures. However, manually reading long text narratives is time …
Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology
The proliferation of digital textual archives in the transportation safety domain makes it
imperative for the inventions of efficient ways of extracting information from the textual data …
imperative for the inventions of efficient ways of extracting information from the textual data …
Crash Contributing Factors and Patterns Associated with Fatal Truck-Involved Crashes in Bangladesh: Findings from the Text Mining Approach
Despite extensive research on traffic injury severities, relatively little is known about the
factors contributing to truck-involved crashes in developing countries, especially in the …
factors contributing to truck-involved crashes in developing countries, especially in the …
Leveraging autonomous vehicles crash narratives to understand the patterns of parking-related crashes
Autonomous vehicles (AVs) parking has been a subject of interest from various researchers;
however, the focus has been on the parking demand, algorithm, and policies, while the …
however, the focus has been on the parking demand, algorithm, and policies, while the …
Mining the highway-rail grade crossing crash data: A text mining approach
S Soleimani, A Mohammadi, J Chen… - 2019 18th IEEE …, 2019 - ieeexplore.ieee.org
Railroad traffic safety is a major worldwide concern. Since 2000, there have been 48,083
crashes at highway-rail grade crossings in the US resulting in 6,103 fatalities, 18,851 …
crashes at highway-rail grade crossings in the US resulting in 6,103 fatalities, 18,851 …
Crash Causing Information Extraction via Text Mining Techniques: Implementation of the Chinese State-related Crash Narratives
N Xiong, H Zhou - 2024 16th International Conference on …, 2024 - ieeexplore.ieee.org
Crash data is the foundation of traffic safety analysis. In China, the accident reporting form
(ARF) only allows reporting one cause for each crash based on the prespecified crash …
(ARF) only allows reporting one cause for each crash based on the prespecified crash …
Classification of road traffic injury collision characteristics using text mining analysis: Implications for road injury prevention
Road traffic injuries are a leading cause of morbidity and mortality globally. Understanding
circumstances leading to road traffic injury is crucial to improve road safety, and implement …
circumstances leading to road traffic injury is crucial to improve road safety, and implement …
Injury severity on traffic crashes: A text mining with an interpretable machine-learning approach
The analysis of traffic crash severities provides significant information for the development of
safety countermeasures. Most available traffic crash datasets contain rich information …
safety countermeasures. Most available traffic crash datasets contain rich information …
Identifying secondary crashes using text mining techniques
Secondary crashes, roadway clearance time, and incident clearance time are three primary
performance measures for traffic incident management. Crash databases, which are the …
performance measures for traffic incident management. Crash databases, which are the …