In this paper, we develop a coordinated traffic responsive ramp control str
ategy based on feedback control and artificial neural networks. The propose
d feedback control law is nonlinear and realized by a series of neural netw
orks. The parameters of the neural networks are obtained through a nonlinea
r optimization procedure. Traffic simulations show that the proposed nonlin
ear ramp control strategy compares favorably against the well-known linear
quadratic (LQ) control strategy in reducing total travel times, particularl
y at situations where drastic changes in traffic demand and road capacity o
ccur. (C) 2001 Elsevier Science Ltd. All rights reserved.