Abstract
Traffic signal optimisation may lead to the alleviation, to some extent, of urban traffic congestion, particularly by using real-time data rather than expected traffic flow data. Recent advances in radar technology have made it possible to observe detailed traffic flow data in and around roadway intersections in real time. The notion of self-organisation has relatively recently been proposed as a promising alternative to improve the effective allocation of green time, particularly under lighter traffic conditions. A fixed-time control strategy and seven self-organising algorithms are compared in a microscopic traffic simulation model of a provincial road in the Western Cape province of South Africa. Actual arrival rates are used as input for the model, while the algorithms are compared using six performance measure indicators, under both light and moderate traffic conditions. The results are used to make a case for the adoption of self-organising traffic signal control algorithms, especially under conditions of light to moderate traffic densities, since this can lead to significant improvements in traffic flow in terms of delay time, vehicle stops, and time spent travelling at unacceptably slow speeds through the road network.
Highlights
Self-organisation is a relatively new approach to traffic signal control
The results returned by the algorithms under light traffic conditions are not surprising, and corroborate statements reported by previous authors [11]
It was discovered [11] that the inventory traffic signal control algorithm (I-TSCA)(n), Hybrid(n), and Gersh are effective under light traffic conditions in the context of hypothetically constructed road networks
Summary
Author affiliations 1 Dept. of Industrial Engineering, Stellenbosch University, South Africa. A fixed-time control strategy and seven self-organising algorithms are compared in a microscopic traffic simulation model of a provincial road in the Western Cape province of South Africa. The results are used to make a case for the adoption of self-organising traffic signal control algorithms, especially under conditions of light to moderate traffic densities, since this can lead to significant improvements in traffic flow in terms of delay time, vehicle stops, and time spent travelling at unacceptably slow speeds through the road network. Die resultate word gebruik omn saak te maak vir die aanvaarding van self-organiserende verkeerseinbeheeralgoritmes, veral onder toestande van ligte tot matige verkeersdigtheid, aangesien dit kan lei tot beduidende verbeterings in verkeersvloei as gevolg van verminderde vertragingstyd, die aantal kere wat voertuie stop, en tyd spandeer deur onaanvaarbaar stadig deur die padnetwerk te ry
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