Development of Traffic Accident Frequency Prediction Model in Urban Signalized Intersections with Fuzzy Reasoning and Neural Network Theories

Angle-accident Risk at Signalized Intersections

This paper demonstrates how a new modeling methodology can be applied to intersection angle-accident risk evaluation with data collected from 81 signalized intersections in the Tokyo Metropolitan area. Angle collisions between through traffic flow and opposite right-turn (please note that vehicles travel along the left side of the road in Japan) traffic flow are the second most common type at s...

Development of a fuzzy logic traffic system for isolated signalized intersections in the State of Kuwait

Modeling Multiple–Vehicle Property Damage Collisions in Urban Signalized Intersections

Development of disaggregate models for estimating different property damage collision type frequencies in urban intersections has rarely been studied, particularly in Iran. It seems very little research work being implemented for studying the effect factors on collision type frequency at intersections. The main objective of this paper is to develop suitable statistical models to predict types o...

Calibration and Transferability of Accident Prediction Models for Urban Intersections

Accident prediction models, also known as safety performance functions, have several important uses in modern day safety analysis. Unfortunately, calibration of these models is not straightforward. This paper documents a research effort that demonstrates the complexity of calibrating these models for urban intersections. These complexities relate to the specification of the functional form, the...

The Fuzzy-Neural Network Traffic Prediction Framework with Wavelet Decomposition

This paper addressed a framework of a traffic prediction model which could eliminate the noises caused by random travel conditions. In the meantime, this model can also quantitatively calculate the influence of special factors. This framework combined several artificial intelligence technologies such as wavelet transform, neural network, and fuzzy logic. In addition to developing the prediction...