This report aims to validate road section monitoring algorithms. These algorithms are implemented in the DRIVE II General European Road Data Information Exchange Network (GERDIEN) project. The estimates produced by these algorithms have been evaluated, and compared with the Dutch motorway field observation study data. The three submodels implemented are models: (1) for estimating current roadway capacity; (2) for detecting congestion and for estimating travel times; and (3) for predicting the near future traffic state. The results for the models for estimating both the current capacity and travel times were promising. The use of neural networks for forecasting traffic is still at a research stage. The report also includes two technical annexes. See also IRRD 867590 (= C 2980).
Samenvatting