Road users in low-and middle-income countries (LMICs) are overrepresented in road
trauma statistics. Despite the relative success of many high-income countries (HICs) in …

Purpose: This study aims to enrich the published literature on hospitality and tourism by
applying big data analytics and data mining algorithms to predict travelers' online complaint …

Introduction Analyzing key factors of motorcycle accidents is an effective method to reduce
fatalities and improve road safety. Association Rule Mining (ARM) is an efficient data mining …

This study was carried out to examine the severity level of crashes by analyzing traffic
accidents. The study's goal is to identify the major contributing factors to traffic accidents in …

Traffic signs are one of the required road safety equipment and easily found throughout the
world. Comprehension of traffic signs is absolutely necessary to improve aspects of driving …

Cardiovascular disease (CVD) believes to be a major cause of transience and indisposition
worldwide. Early diagnosis and timely intervention are critical in preventing the progression …

Reasonable and appropriate traffic sign information volume (TSIV) is crucial to ensure road
traffic safety, especially at the entrance zones of highway tunnels. This research compares …

In supply chain management, accurate demand prediction is a crucial issue that can
decrease the inventory cost and obtain the desired service level. The purpose of this paper …

Insufficient comprehension of traffic signs among motorcyclists is a contributing factor to
traffic accidents. Furthermore, the ability to comprehend these signs is closely tied to the …

Previous studies have shown that bus drivers are a major contributing factor to bus
accidents. The aim of this study is to explore the factors that contribute to the presence of …