Use of sequential learning for short-term traffic flow forecasting

H Chen, S Grant-Muller - Transportation Research Part C: Emerging …, 2001 - Elsevier
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 …
被引用次数：261 相关文章

[引用][C] Use of sequential learning for short-term traffic flow forecasting

H CHEN, S GRANT-MULLER - Transportation research. Part C …, 2001 - pascal-francis.inist.fr
Use of sequential learning for short-term traffic flow forecasting CNRS Inist Pascal-Francis
CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search …

Use of sequential learning for short-term traffic flow forecasting

H Chen, S Grant-Muller - Transportation Research Part C, 2001 - infona.pl
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 …

USE OF SEQUENTIAL LEARNING FOR SHORT-TERM TRAFFIC FLOW FORECASTING

H Chen, S Grant-Muller - Transportation Research Part C: Emerging …, 2001 - trid.trb.org
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 …

[引用][C] USE OF SEQUNTIAL LEARNING FOR SHORT-TERM TRAFFIC FLOW FORECASTING

H Chen, S Grant-Muller - Transportation Research Part C: Emerging …, 2001 - trid.trb.org
This paper examines the potential of dynamic neural networks for forecasting traffic in
normal and incident-related conditions. Focus is on the application and performance of an …