Hybrid Neuro-Fuzzy Application in Short-Term Freeway Traffic Volume Forecasting
- 1 January 2002
- journal article
- Published by SAGE Publications in Transportation Research Record: Journal of the Transportation Research Board
- Vol. 1802 (1), 190-196
- https://doi.org/10.3141/1802-21
Abstract
A hybrid neuro-fuzzy application for short-term freeway traffic volume forecasting was developed. The hybrid model consists of two components: a fuzzy C-means (FCM) method, which classifies traffic flow patterns into a couple of clusters, and a radial-basis-function (RBF) neural network, which develops forecasting models associated with each cluster. The new hybrid model was compared with previously developed clustering-based RBF models. In addition, the dynamic linear model was studied for comparison. The study results showed that the clustering-based hybrid method did not produce time-lag phenomena, whereas the dynamic linear model and the RBF model without clustering revealed apparent time-lag phenomena. The forecasting performance for freeway traffic volumes from the San Antonio, Texas, TransGuide system shows that even though the hybrid of the FCM and RBF models appears to be promising, additional research efforts should be devoted to achieving more reliable traffic forecasting.Keywords
This publication has 10 references indexed in Scilit:
- Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural NetworkTransportation Research Record: Journal of the Transportation Research Board, 1998
- Combining kohonen maps with arima time series models to forecast traffic flowTransportation Research Part C: Emerging Technologies, 1996
- Multiple-Interval Freeway Traffic Flow ForecastingTransportation Research Record: Journal of the Transportation Research Board, 1996
- Nonparametric Regression and Short‐Term Freeway Traffic ForecastingJournal of Transportation Engineering, 1991
- Kalman FilteringPublished by Springer Science and Business Media LLC ,1991
- Short term traffic forecasting using time series methodsTransportation Planning and Technology, 1988
- An expert system based algorithm for short term load forecastIEEE Transactions on Power Systems, 1988
- Self-organized formation of topologically correct feature mapsBiological Cybernetics, 1982
- Use of the box and Jenkins time series technique in traffic forecastingTransportation, 1980
- Singular value decomposition and least squares solutionsNumerische Mathematik, 1970