A multiparadigm general methodology is advanced for development of reliable, efficient, and practical freeway incident detection algorithms. The performance of the new fuzzy-wavelet radial basis function neural network ~RBFNN! freeway incident detection model of Adeli and Karim is evaluated and compared with the benchmark California algorithm #8 using both real and simulated data. The evaluatio...

In order to estimate traffic densities in a large-scale urban freeway network in an accurate and timely fashion when traffic sensors do not cover the freeway network completely and thus only local measurement data can be utilized, this paper proposes a decentralized state observer approach based on a macroscopic traffic flow model. Firstly, by using the well-known cell transmission model (CTM),...

Measuring the traffic quality and congestion level is fundamental in highway engineering, several decades of studies research have pursued this specific objective, especially for freeways. Nowadays, smart technologies on personal devices information shared by users made available various online platforms that provide dynamic representations use road network. If, one hand, these tools a simple d...

Abstrac&--In an effort to relieve peak hour congestion on freeways, various ramp metering algorithms have been employed to regulate the inputs to freeways from entry ramps. In this paper, we consider a freeway system comprised of a freeway section and its entry/exit ramps, and formulate the ramp control problem as a dynamic optimal process to minimize the total time spent in this system. Within...

This paper proposes a novel identification algorithm to the freeway steady-state speed-density balance relational expression of the Markos Papageorgiou’s freeway traffic flow model. Two stages are involved. First, use the power series principle to transform this relational expression from nonlinear model into linear model. Second,use the least squares method to identify the linear model and fur...

The recently developed traffic-responsive feedback control strategy HERO (HEuristic Ramp metering cOordination), that coordinates local ramp-metering actions in freeway networks, was implemented at the M1/M3 Freeway in Queensland, Australia. HERO employs an extended version of the feedback regulator ALINEA at the local level. HERO outperforms uncoordinated local ramp metering and approaches the...