… model-based control methods for intelligent traffic networks. In particular, we consider model
predictive control (… We illustrate the MPC approach for traffic control with two case studies. …

… The model adopted inter-arrival time and inter-… intelligent traffic lights control system. This
methodology was obtained as a hybrid of two standard methodologies: The Structured System …

… model and artificial intelligence algorithm can predict traffic data … intelligent transportation
cyber-physical cloud control system (… 1 shows the ITS cloud control system and the related CPS …

… These input factors are usually measured by the on-line monitoring system using sensors,
detectors and cameras (Alternatively, the traffic state can be forecasted by a traffic flow model). …

… The global architecture of traffic control systems bases on the detection of traffic data and …
This section presents the application of advanced knowledge modeling techniques on three …

… traffic models are built on a vertical queue model and … model the effect of downstream
congestion on the capacity of upstream intersections during queue spillback. The queuing model is …

… Markov Model (HANN-HMM) which can accurately learn the traffic … To perform accurate
recognition of the traffic optimized … the traffic management than the existing research systems. …

… However, by model based we mean in particular whether the control method considers an
… we will consider future traffic control systems based on IVs and AHS. 3 IVs and traffic control …

… expert system and its application to urban traffic control is the main focus of this work. An
intelligent decision-making system … The ANN model used in this work is a fully connected, single …

… intelligent transportation system for a smart city. An important part of a smart city, the intelligent
transport system … This paper uses the CIoT-ITS model to group many individual vehicles to …