Abstracto

ACCIDENT PREDICTION MODELS FOR URBAN UNSIGNALISED INTERSECTIONS

Lakshmi M Divakaran, Sreelatha T

Nowadays, road safety is a topic that we discuss too often. There are many factors that cause road accidents. Among that, roadway and traffic conditions are two major factors. By analysing these factors, we can reduce the number of accidents. Crash models are found to be effective in the road safety analysis. In this study, Accident Prediction models are developed for the unsignalised urban intersections. Accident Prediction models for three legged intersections and four legged intersections are separately developed. Previous Accident Prediction Models for intersections predict the number of accidents for the intersection as a whole. This model can predict the number of accidents for each approach leg of an intersection. By knowing the factors that affect safety, we can do proper treatment and upgrading Keywords: Accident Prediction Models (APM), Intersections, Unsignalised, Urban, Approach leg, Roadway factors, Traffic factors

Descargo de responsabilidad: este resumen se tradujo utilizando herramientas de inteligencia artificial y aún no ha sido revisado ni verificado.

Indexado en

Academic Keys
ResearchBible
CiteFactor
Cosmos SI
Búsqueda de referencia
Universidad Hamdard
Catálogo mundial de revistas científicas
director académico
Factor de impacto de revistas innovadoras internacionales (IIJIF)
Instituto Internacional de Investigación Organizada (I2OR)
Cosmos

Ver más