Title :
A practical model of dynamic forecasting of urban ring road traffic flow
Author :
Guan, Wei ; Cai, Xiaolei
Author_Institution :
Sch. of Traffic & Transp., Beijing Jiaotong Univ., China
Abstract :
A practical model of dynamic forecasting of urban ring road traffic flow based on neural network is proposed in this paper, and the traffic flow data of Beijing Third-Ring-Road (BTRR) are explored to test the validity of the model. The experimental results show that the forecasting data obtained by the model correspond to the actual data basically.
Keywords :
forecasting theory; neural nets; road traffic; traffic control; traffic engineering computing; Beijing Third-Ring-Road; dynamic forecasting; neural network; urban ring road traffic flow; Cities and towns; Demand forecasting; Humans; Neural networks; Nonlinear dynamical systems; Predictive models; Road transportation; Telecommunication traffic; Testing; Traffic control;
Conference_Titel :
Intelligent Transportation Systems, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-9215-9
DOI :
10.1109/ITSC.2005.1520196
