… is to analyze intersection modeling in the context of macroscopic traffic flow models. The
paper … relation to the concepts of local traffic supply and demand. It will be shown that the local …

… In contrast, our game-theoretic model represents the interactive decision-making processes
… using a kinematic vehicle model. This way, we can model traffic scenes with a medium …

… traffic control formulation designated as dynamic intersection signal control optimization (DISCO).
Traffic in DISCO is modeled after the cell-transmission model … dynamic traffic flow model…

… in traffic network at fixed time control. also, We propose a novel … model and new fuzzy
traffic controller that can optimally control traffic flows under both normal and exceptional traffic …

… the modeling of traffic flow at signalized road intersections. In … network (ANN) predictive
model was developed using traffic … ) traffic datasets were obtained from seven road intersections …

… A single intersection in Tehran, the capital city of Iran, was considered in our study to
control traffic signal timing, and model predictive control was used to reduce traffic. A …

… This study aims to (1) jointly model crash frequencies of intersections and the feeding road
… joint model to include both road segments and intersections located in an urban road network…

… flows, and (21 direct representational structural mapping of neurons to traffic intersections.
The … The Hopfield model and the traffic-derived energy function it utilizes for intelligent signal …

… traffic networks (TNs) for control purposes. A modular framework based on coloured timed
Petri nets (CTPNs) is proposed to model … intersection located in the city of Bari, Italy: the traffic …

… models, particularly neural network models. To compare and teat the forecasting accuracy
of the models, three dilferent data sets of traffic … highways, and urban intersections. The data …