Journal
TRANSPORT REVIEWS
Volume 24, Issue 5, Pages 533-557Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/0144164042000195072
Keywords
-
Categories
Ask authors/readers for more resources
In the last two decades, the growing need for short-term prediction of traffic parameters embedded in a real-time intelligent transportation systems environment has led to the development of a vast number of forecasting algorithms. Despite this, there is still not a clear view about the various requirements involved in modelling. This field of research was examined by disaggregating the process of developing short-term traffic forecasting algorithms into three essential clusters: the determination of the scope, the conceptual process of specifying the output and the process of modelling, which includes several decisions concerning the selection of the proper methodological approach, the type of input and output data used, and the quality of the data. A critical discussion clarifies several interactions between the above and results in a logical flow that can be used as a framework for developing short-term traffic forecasting models.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available