Abstract: This paper presents a Bayesian data fusion framework for estimating journey time variability that uses a mixture distribution model to classify feeding data into different traffic states.
There is a particular sting that comes when a car you trusted decides it has had enough. Not the theatrical failures that defined an earlier era of motoring, but the modern sort that arrive with ...