Towards Personal Virtual 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...

Progressive Virtual Beam Lights

A recent technique that forms virtual ray lights (VRLs) from path segments in media, reduces the artifacts common to VPL approaches in participating media, however, distracting singularities still remain. We present Virtual Beam Lights (VBLs), a progressive many-lights algorithm for rendering complex indirect transport paths in, from, and to media. VBLs are efficient and can handle heterogeneou...

Towards Smart Traffic Lights Using big data to Improve Urban Traffic

The rise of urban population brings the need of effective ways to move around the city and strategies to improve the traffic flow. This study aims to observe the present context of the traffic lights, one of the solutions to traffic control most used in our time. This study will also look some solutions already implemented by the cities of Los Angeles and Recife using sensors and cameras at int...

Organic Control of Traffic Lights