Any analysis of automobile driving cycles and efficiency show that traffic control is very important - you want to minimize starts and stops and you want to keep reasonably constant speeds.
Currently, traffic lights either have fixed timer controls or a centralized, control system. The widely used Split, Cycle and Offset Optimization Technique (SCOOT) is popular with those responsible for traffic control. It computes a single cycle time for all intersections, splits this cycle time into green times for each intersection and then adjusts offset times in order to minimize waiting times. SCOOT’s primary aim is keep traffic flowing smoothly and pedestrians safe. Modern traffic-responsive Urban Control (TUC) additionally takes public transport into account.
However, although these systems have been developed over many years, they do have several technical shortcomings and traffic jams do occur more frequently than drivers would like because problems with flow control. Fixed timers are obviously flawed as they do not respond to traffic itself and even centralized systems cannot respond optimally to the changes in traffic movements out on the roads. This leads to jams and waste drivers’ time, vehicle fuel, and to higher levels of localized pollution in towns and cities than might otherwise be present.
Prothmann and his colleagues used the organic computing approach to develop a decentralized traffic control system and compared its impact on traffic flow with a conventional system. The organic approach is based on industry-standard traffic light controllers. These have been adapted to have an observer/controller architecture that allows the traffic light to respond to traffic flow and to pass on information to the other traffic lights on neighboring roads.
Tests at busy junctions in Hamburg demonstrated that the average number of vehicle stops can be cut significantly, delays avoided, and journey times reduced, all of which has benefits for drivers, pedestrians and city dwellers, and, in terms of fuel use and pollution, the environment.
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