[HTML][HTML] Application of text mining techniques to identify actual wrong-way driving (wwd) crashes in police reports

P Hosseini, S Khoshsirat, M Jalayer, S Das… - International journal of …, 2023 - Elsevier
Wrong-way driving (WWD) has been a long-lasting issue for transportation agencies and
law enforcement, since it causes pivotal threats to road users. Notwithstanding being rare …

[HTML][HTML] Using Bidirectional Encoder Representations from Transformers (BERT) to classify traffic crash severity types

AH Oliaee, S Das, J Liu, MA Rahman - Natural language processing journal, 2023 - Elsevier
Traffic crashes are a critical safety concern. Many studies have attempted to improve traffic
safety by performing a wide range of studies on safety topics with the application of diverse …

Identifying secondary crashes using text mining techniques

X Zhang, E Green, M Chen… - Journal of Transportation …, 2020 - Taylor & Francis
Secondary crashes, roadway clearance time, and incident clearance time are three primary
performance measures for traffic incident management. Crash databases, which are the …

Construction accident narrative classification: An evaluation of text mining techniques

YM Goh, CU Ubeynarayana - Accident Analysis & Prevention, 2017 - Elsevier
Learning from past accidents is fundamental to accident prevention. Thus, accident and near
miss reporting are encouraged by organizations and regulators. However, for organizations …

[HTML][HTML] Leveraging text mining approach to explore research roadmap and future direction of wrong-way driving crash studies

B Kutela, C Kadeha, RT Magehema, RE Avelar… - Data and Information …, 2024 - Elsevier
This study delves into the wrong-way driving (WWD) research performed in the United
States over the past five decades. The study employs a text network to summarize and …

Text Classification Modeling Approach on Imbalanced-Unstructured Traffic Accident Descriptions Data

Y Seo, J Park, G Oh, H Kim, J Hu… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
The unstructured-textual crash descriptions recorded by police officers is rarely utilized,
despite containing detailed information on traffic situations. This lack of utilization is mainly …

[PDF][PDF] Verb-based text mining of road crash report

L Gao, H Wu - TRB 92nd Annual Meeting, 2013 - researchgate.net
Abstract 1 Traffic accident report is usually completed by police officers at the scene and
contains 2 important information on the cause and outcome of automobile accidents …

Identification and analysis of misclassified work-zone crashes using text mining techniques

MA Sayed, X Qin, RJ Kate, DM Anisuzzaman… - Accident Analysis & …, 2021 - Elsevier
Work zone safety management and research relies heavily on the quality of work zone crash
data. However, it is possible that a police officer may misclassify a crash in structured data …

An ensemble approach for classification of accident narratives

CU Ubeynarayana, YM Goh - Computing in Civil Engineering 2017, 2017 - ascelibrary.org
There is an increased interest in using text mining techniques to automatically classify text-
based accident descriptions in industries such as aviation, medical and construction. The …

Root cause analysis of incidents using text clustering and classification algorithms

S Sarkar, N Ejaz, M Kumar, J Maiti - … of ICETIT 2019: Emerging Trends in …, 2020 - Springer
The purpose of this study is to cluster the injury narratives to extract the root causes behind
the accidents. Analysis is done on incident data collected from the database of an integrated …