Application of association rules mining algorithm for hazardous materials transportation crashes on expressway

J Hong, R Tamakloe, D Park - Accident Analysis & Prevention, 2020 - Elsevier
Although crashes involving hazardous material (HAZMAT) vehicles on expressways do not
occur frequently compared with other types of vehicles, the number of lives lost and social …

Fatal pedestrian crashes at intersections: Trend mining using association rules

S Das, R Tamakloe, H Zubaidi, I Obaid… - Accident Analysis & …, 2021 - Elsevier
Abstract In 2018, about 6,677 pedestrians were killed on the US roadways. Around one-
fourth of these crashes happened at intersections or near intersection locations. This high …

Investigation of work zone crash casualty patterns using association rules

J Weng, JZ Zhu, X Yan, Z Liu - Accident Analysis & Prevention, 2016 - Elsevier
Investigation of the casualty crash characteristics and contributory factors is one of the high-
priority issues in traffic safety analysis. In this paper, we propose a method based on …

[HTML][HTML] Factors influencing the patterns of wrong-way driving crashes on freeway exit ramps and median crossovers: Exploration using 'Eclat'association rules to …

S Das, A Dutta, M Jalayer, A Bibeka, L Wu - International journal of …, 2018 - Elsevier
Wrong-way driving (WWD) has been a constant traffic safety problem in certain types of
roads. These crashes are mostly associated with fatal or severe injuries. This study aims to …

Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining

X Kong, S Das, K Jha, Y Zhang - Accident Analysis & Prevention, 2020 - Elsevier
Speeding is considered as one of the most significant contributing factors to severe traffic
crashes. Understanding the associations between trip/driving/roadways features and …

Supervised association rules mining on pedestrian crashes in urban areas: identifying patterns for appropriate countermeasures

S Das, A Dutta, R Avelar, K Dixon, X Sun… - International Journal of …, 2019 - Taylor & Francis
ABSTRACT In 2011, 4,432 pedestrians were killed (14% of total traffic crash fatalities), and
69,000 pedestrians were injured in vehicle-pedestrian crashes in the United States …

Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-kee** ability in fog: An association rules mining approach

A Das, MM Ahmed, A Ghasemzadeh - Accident Analysis & Prevention, 2019 - Elsevier
The presence of fog has a significant adverse impact on driving. Reduced visibility due to
fog obscures the driving environment and greatly affects driver behavior and performance …

Unraveling the patterns of critical contributory factors and flag-state affiliations linked with maritime incident outcomes

LD Caesar, R Tamakloe - Marine Policy, 2024 - Elsevier
Maritime incidents are complex in nature and result from various factors. Although
researchers have explored the factors influencing maritime safety, it is unclear how the …

Applying association rules mining to investigate pedestrian fatal and injury crash patterns under different lighting conditions

A Hossain, X Sun, R Thapa… - Transportation research …, 2022 - journals.sagepub.com
The pattern of pedestrian crashes varies greatly depending on lighting circumstances,
emphasizing the need to examine pedestrian crashes in various lighting conditions. Using …

[HTML][HTML] Investigating pedestrian crash patterns at high-speed intersection and road segments: Findings from the unsupervised learning algorithm

A Hossain, X Sun, NM Zafri, J Codjoe - International Journal of …, 2024 - Elsevier
Pedestrian crashes at high-speed locations are a persistent road safety concern. Driving at
high speeds means that the driver has less time to react and make evasive maneuvers to …