Use of sequential learning for short-term traffic flow forecasting

摘要

Accurate short-term traffic flow forecasting has become a crucial step in the overall goal of better road network management. Previous research［H. Kirby, M. Dougherty, S. Watson, Should we use neural Forecasting 13 (1997) 43-50.］has demonstrated that a straightforward application of neural networks can Be used to forecast traffic flows along a motorway link. The objective of this paper is to report on the Application and performance of an alternative neural computing algorithm which involves 'sequential or Dynamic learning' of the traffic flow process.