Article ID: | iaor2003334 |
Country: | United Kingdom |
Volume: | 9C |
Issue: | 5 |
Start Page Number: | 337 |
End Page Number: | 352 |
Publication Date: | Oct 2001 |
Journal: | Transportation Research. Part C, Emerging Technologies |
Authors: | Ritchie Stephen G., Jayakrishnan R., Zhang H.M. |
Keywords: | statistics: data envelopment analysis, control processes |
In this paper, we develop a coordinated traffic responsive ramp control strategy based on feedback control and artificial neural networks. The proposed feedback control law is nonlinear and realized by a series of neural networks. The parameters of the neural networks are obtained through a nonlinear optimization procedure. Traffic simulations show that the proposed nonlinear ramp control strategy compares favorably against the well-known linear quadratic control strategy in reducing total travel times, particularly at situations where drastic changes in traffic demand and road capacity occur.