Analysis of Pedestrian-Vehicle Crashes Using Artificial Learning Methods: City of Sakarya Case Study
- 6 November 2021
- journal article
- Published by Academic Perspective in Academic Perspective Procedia
- Vol. 4 (2), 221-230
- https://doi.org/10.33793/acperpro.04.02.54
Abstract
The lives of approximately 1.3 million people are cut short every year as a result of road traffic crashes. Between 20 and 50 million people suffer non-fatal injuries, with many incurring a disability as a result of their injury. The risk of dying in a road traffic crash is more than 3 times higher in low-income countries than in high-income countries [1]. In Turkey, 18% of traffic accidents was related to pedestrian-vehicle collisions in urban roads in 2020. In addition, 20% of death toll caused by accidents is pedestrians in 2020 [2]. This study deals with the some of classifiers to forecast the number of injuries as a result of traffic accidents. The classifier’s performance ratios were also examined.Keywords
This publication has 2 references indexed in Scilit:
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- A Perspective Analysis of Traffic Accident using Data Mining TechniquesInternational Journal of Computer Applications, 2011