Optimising Signalised Intersection Using Wireless Vehicle Detectors

Daniel Michael Okwabi Adjin, Moses Torkudzor, Jack Asare

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearchpeer-review

Abstract

Traffic congestion on roads wastes travel times. In this paper, we developed a vehicular traffic model to optimise a signalised intersection in Accra, using wireless vehicle detectors. Traffic volume gathered was extrapolated to cover 2011 and 2016 and were analysed to obtain the peak hour traffic volume causing congestion. The intersection was modelled and simulated in Synchro7 as an actuated signalised model using results from the analysed data. The model for morning peak periods gave optimal cycle lengths of 100s and 150s with corresponding intersection delay of 48.9s and 90.6s in 2011 and 2016 respectively while that for the evening was 55s giving delay of 14.2s and 16.3s respectively. It is shown that the model will improve traffic flow at the intersection.
Original languageEnglish
Publication date2013
Publication statusPublished - 2013
Event9th ITS European Congress - Dublin, Ireland
Duration: 4 Jun 20137 Jun 2013

Conference

Conference9th ITS European Congress
Country/TerritoryIreland
CityDublin
Period04/06/201307/06/2013

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