WIT Press

Artificial Intelligence Techniques To Predict Urban Traffic Indicators

Price

Free (open access)

Paper DOI

10.2495/AI970171

Volume

19

Pages

11

Published

1997

Size

107 kb

Author(s)

Lorenzo Mussone

Abstract

The paper deals with the application of neural network techniques to the supervision of urban traffic. This field is strictly related to the evaluation of vehicular traffic flow and its time prediction which are the main object of numerous international researches. To carry out a traffic control by using traffic signal control it is better to refer to a flow state rather than flow values consequently it is a good idea to define a set of rules to evaluate flow states. The synthesis introduced by the definition of state allows to explain the complex relationships describing flow with an immediate functional classification easy applicable to a road link or a more complex urban network. 1 Introduction The field of urban flow network control and evaluation has been t

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