Prediction of Short-term Traffic Variables using Intelligent Swarm-based Neural Networks

Prediction of Short-term Traffic Variables using Intelligent Swarm-based Neural Networks

This paper presents an innovative algorithm integrated with particle swarm optimization and artificial neural networks to develop short-term traffic flow predictors, which are intended to provide traffic flow forecasting information for traffic management in order to reduce traffic congestion and im...

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Bibliographic Details
Main Authors: Chan, Kit, Dillon, Tharam S., Chang, Elizabeth, Singh, Jaipal
Format: Journal Article
Published: IEEE 2012
Subjects:
particle swarm optimization
traffic management
time-varying modeling
evolutionary algorithm
traffic flow forecasting
Adaptive neural network
Online Access:http://hdl.handle.net/20.500.11937/21786

Internet

http://hdl.handle.net/20.500.11937/21786

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