Saddaf Rubab

Title AI Application: Traffic Accident Predictions
Abstract

A country’s progress depends highly on the mobility of transportation it provides. Daily increasing demand in transportation is maximizing the chances of road crashes. Not only in underdeveloped countries but also in developed countries, road accidents have become an issue which should be resolved. Behavior of street users, Road conditions, and infrastructure of roads and increasing demands of motor cars are causing an increase in road accidents day after day. Our objectives include research for the identification of traits which are directly or indirectly linked to foundations of road accidents and also includes training of model using machine learning and artificial intelligence techniques which will be able to predict traffic accidents and high light causes of such accidents so that concerned authorities can optimize traffic routes, improve road designs and prioritize maintenances of road.

Bio

Dr. Saddaf Rubab is working as Assistant Professor at NUST Military College of Signals. She completed her doctoral studies at Universiti Teknologi PETRONAS, Malaysia in May, 2018. She got her MSc in Computer Software Computer Engineering from NUST College of Electrical & Mechanical Engineering (CEME), in 2012 and worked on different academia positions from 2009 to 2013. In the context of her current research, she is working on forecasts and implementing AI techniques in various interdisciplinary areas. Apart from this, her research interests include distributed computing, security and prediction systems.