Brain's traffic lights

Self-organizing Traffic Lights

Steering traffic in cities is a very complex task, since improving efficiency involves the coordination of many actors. Traditional approaches attempt to optimize traffic lights for a particular density and configuration of traffic. The disadvantage of this lies in the fact that traffic densities and configurations change constantly. Traffic seems to be an adaptation problem rather than an opti...

Agent controlled traffic lights

Due to several reasons, changing conditions in the environment do not always lead to changes in the traffic control units. The hypothesis of this research is that it may be useful to make use of self evaluating and self organising intelligent (urban) traffic control systems. In this research we focus on the applicability of autonomous intelligent agents within urban traffic control (i.e. traffi...

Organic Control of Traffic Lights

Emergence of Traffic Lights Synchronization

In control of urban traffic systems, synchronization of traffic lights is one of the measures used to improve the throughput, as it allows vehicles to pass an arterial without stop. Classical approaches are off-line, top-down planned and centralized. Moreover, they are inflexible since they cannot cope with dynamic changes in the traffic flow or depend too much on communication. This paper desc...

Simulation Of Traffic Lights Control

Simulation of traffic control is very important nowadays for dealing with increasing urban traffic. It helps to construct the strategy of traffic lights switching and determine alternative path in the case of an accident or traffic jam. In the paper we present the application of simulation tool DYNASIM being used by French company DYNALOGIC. It has big number of alternative possibilities in mod...