Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/2509
Title: Multiple traffic signal control using a genetic algorithm
Authors: Kalganova, T
Russell, G
Cumming, A
Issue Date: 1999
Publisher: Springer
Citation: Proceeding of the Fourth International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA'99), Portoroz, Slovenia, 1999. pp. 220-228
Abstract: 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.
URI: http://bura.brunel.ac.uk/handle/2438/2509
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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