Smart alternative case study for analysing car accidents in Egyptian cities

¹ Assistant Professor, Civil Engineering Department, German University in Cairo, Egypt
² Bachelor Student, Civil Engineering Department, German University in Cairo, Egypt
³ Full Professor, Civil Engineering Department, German University in Cairo, Egypt

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

Car accidents pose significant challenges to public safety and result in numerous injuries and fatalities worldwide. By examining real-world data, this study explores various elements such as; driver behavior, road conditions, vehicle mechanical malfunctions, and environmental factors to identify patterns and trends associated with car accidents. Through rigorous statistical analysis and data mining techniques, this uncovers key insights that shed light on the causes and consequences of car accidents. The findings of this case study highlight the most common causes of car accidents, including distracted driving, speeding, impaired driving, and adverse weather conditions. Additionally, it examines the impact of factors such as road infrastructure, traffic congestion, and driver demographics on accident rates. By understanding these contributing factors, policymakers, law enforcement agencies, and other stakeholders can implement targeted interventions and preventive measures to mitigate car accidents and their associated risks. Ultimately, this case study provides valuable insights into car accidents, enabling policymakers, researchers, and road safety advocates to develop evidence-based strategies for accident prevention, education, and intervention. Roads will become safer for the general public well-being will be improved by reducing the frequency and severity of traffic incidents through the implementation of targeted interventions and addressing the identified risk factors.