Short-term congestion prediction: comparing time series with neural networks

• Published in: Tenth International Conference on Road Transport Information and Control pp. 66 - 69
• Main Authors: Huisken, G, Coffa, A
• Format: Conference Proceeding
• Language: English
• Published: London IEE 2000
• Subjects: Control engineering computing; Neural computing techniques; Other topics in statistics; Road-traffic system control; Statistics; Traffic engineering computing; multilayer perceptrons; ARMA time series analysis method; road vehicles; autoregressive moving average processes; traffic control; processor time efficiency; short-term congestion prediction; time series; multilayer feedforward neural network method; feedforward neural nets; transportation

Neural network applications in transportation have been the subject of research for the past two decades. Often they produce nice results, but also very often these results are not compared with results of other methods. In this study we try to make an effort to compare performances of an ARMA time...