Paper Info
Title
Intensity Assessment Of Pedestrian Collisions In City Of Mashhad Based On Fuzzy Probabilities
Abstract
Fuzzy probabilities have been widely used in the areas of risk assessment and decision making. Here, we propose a system based on fuzzy probabilities for assessing the intensity of pedestrian collisions and levels of injury. The proposed approach uses possibility probability distributions for demonstrating fuzzy probabilities. A composition of possibility probability distributions (fuzzy probabilities) of collision intensities coming from different environmental variables yields the final fuzzy probability of intensity with higher reliability. The proposed approach is then applied to an actual database of pedestrian collisions from the City of Mashhad for over a period of five years.
Year
Venue
Keywords
2009
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE
Collision Intensity, Collision Variables, Fuzzy Probability, Possibility Probability Distribution
Field
DocType
Citations 
Convolution of probability distributions,Pedestrian,Joint probability distribution,Fuzzy logic,Chain rule (probability),Statistics,Law of total probability,Marginal distribution,Mathematics
Conference
1
PageRank 
References 
Authors
0.36
7
2
Name
Order
Citations
PageRank
Farzaneh Tatari1131.95
Mohammad R. Akbarzadeh-Totonchi212518.26