Kalganova, Tatiana, Russell, Gordon and Cumming, Andrew (1999) Multiple traffic signal control using a GA. In: 4th International Conference on Artificial Neural Networks and Genetic Algorithms, ICANNGA '99. Springer-Verlag, pp. 220-228.

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Abstract/Description

Optimising traffic signal timings for a multiple-junction road
network is a difficult but important problem. The essential difficulty
of this problem is that the traffic signals need to coordinate
their behaviours to achieve the common goal of optimising
overall network delay. This paper discusses a novel
approach towards the generation of optimal signalling strategies,
based on the use of a genetic algorithm (GA). This GA
optimises the set of signal timings for all junctions in network.
The different efficient red and green times for all the signals are
determined by genetic algorithm as well as the offset time for
each junction. Previous attempts to do this rely on a fixed cycle
time, whereas the algorithm described here attempts to optimise
cycle time for each junction as well as proportion of green
times. The fitness function is a measure of the overall delay of
the network. The resulting optimised signalling strategies were
compared against a well-known civil engineering technique,
and conclusions drawn

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