Optimized Layout of Detectors and Short-term Traffic Flow Forecasting of Tunnel Based on Simulation
Shen Ying-ji · Journal of Highway and Transportation Research and Development · 2014
Tunnel can be regarded as the throat of urban transportation. For guiding the traffic flow,making real-time release of traffic conditions in tunnel,and guiding the drivers driving into and out of tunnel rationally,accurate and reliable data collection and real-time traffic flow forecasting is the key. We established a tunnel model using VISSIM simulation software,and explored rational space distribution of tunnel detectors based on travel time error to ensure the reliability of data collection. On the basis of accurate data collection,we used the method of adaptive weight exponential smoothing( AWES) and the radial basis function neural network model( RBFN) to make empirical studies,and used data fusion technology to insure the prediction accuracy and error stability. Furthermore,we briefly analyzed the indexes of traffic state identification based on VISSIM simulation platform to serve the urban traffic guidance system better.