A Survey on Predicting Pedestrian Safety based on Physical and Psychological factors of Pedestrians Motion

Abstract

Walking is the special mode of transportation that comprises 60% of the World’s population. This population includes the pedestrians as the focus of sight, because they are considered as the road users. Understanding the behavior of road users is a difficult task as people have complex mindsets. When people are crossing the road, they have been subjected to various attitude issues and other psychological issues. The prediction of the pedestrian’s motion is very ridiculous, because their motions has to be predicted related to the traffic parameter. A prediction algorithm always uses the past experiences to anticipate the future events. These algorithms use the set of sample data from a sample collected over a period. This makes prediction algorithms more ideal to use within smart environments. So as a part of this study, we have compared various algorithms, for their accurateness of the prediction on pedestrians’ movements. This paper also focuses on the various pedestrian’s data set, pedestrian behavior estimation and the various algorithms used to predict the behavior of the people. As a part of our research on pedestrian safety prediction would be done by providing an efficient prediction algorithm based on their movements, ecological factors, pedestrians’ psychological factors, other outreaches.