The characteristics of traffic flows on signalized arterials are examined within a cellular automata micro-simulation model. The model is used to analyze arterial throughput and travel times for given densities, coordination schemes and signal spacings. A fundamental 3-D relationship between flow, density and offsets for signalized arterials is established. It is shown, in particular, that arte...

Abstract: Traffic congestion is an issue in every major city. Many approaches have been tried. In this paper, we propose to model signalized intersections as finite controlled Markov chains. The intersection represents a noncooperative game where each player try to minimize its queue, so ǫ−Nash’s equilibrium is the solution. This paper is focused on the traffic light control problem for urban t...

At a signalized intersection, drivers must make a stop/go decision at the onset of the yellow signal. Incorrect decisions would lead to red light running (RLR) violations or crashes. This study aims to predict drivers' stop/go decisions and RLR violations during yellow intervals. Traffic data such as vehicle approaching speed, acceleration, distance to the intersection, and occurrence of RLR vi...

This report presents five research efforts that are being published in various journals. The first research effort conducts two experiments to provide partial validation for the concept of a system to warn the potential victims of red-light violators. As conceived, the warning system would entail sensors to detect approaching vehicles that are unlikely or incapable of stopping at red traffic si...