WIT Press

A Lane Occupation Model For A Motorway Section Using Artificial Neural Networks

Price

Free (open access)

Paper DOI

10.2495/AI960231

Volume

16

Pages

11

Published

1996

Size

74 kb

Author(s)

L. Mussone, G. Reitani & S. Rinelli

Abstract

The paper analyses lane occupation in a three lane motorway. Using data collected on a Northern Italian motorway over a period of about nine months and treating them in appropriately the distribution of flow over the three lanes is studied. This distribution depends on the three fundamental variables, speed, flow and density, but also on composition of flow (percentage of heavy vehicles) and environment (brightness). Through the neural network approach it is possible to reconstruct the function which relates these variables to lane occupation. 1 Introduction A lot of models were developed to describe lane occupation of vehicles (Gipps, 1986) [7], (Alvarez et al., 1990) [1], (Fisk, 1990) [5], (Schmi

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