A Model for Predicting Capacity of Right-turn Traffic at Closely Spaced Unsignalised Junctions
Right-turn traffic at closely spaced un-signalised junctions is associated with delay and the resulting queuing since it cuts through main stream traffic. Through traffic volumes and spacing between junctions have significant bearing on the capacity and delay for right-turns. No relationship has been developed in the literature to predict capacity of right-turn traffic considering through traffic volume, right-turn traffic volumes and spacing between closely spaced junctions. In this study, model for predicting right-turning capacity of two successive unsignalised close junctions was developed. Traffic volume data from six paired junctions with intermediate spacing ranging between 30.0m and 185.0m on selected major roads in Kawempe Division of Kampala City were collected by video recording entered in Microsoft Excel and analysed using the RStudio modelling software. The critical right-turning traffic volume that yielded maximum queue length on the observed junctions was 230 vehicles per hour irrespective of the spacing between junctions. A model to predict right-turning capacity between two successive unsignalised junctions basing on spacing between them, traffic volume discharged and merging traffic was proposed. The study recommends the use of aerial data collection methods, extending observation time and inclusion of geometric characteristics in modelling
Authors
- Mugumya Peter
- Bagampadde Umaru
Institutions
- Makerere University (UG)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-10
- DOI
- https://doi.org/10.5281/zenodo.24104316
- Primary Topic
- Traffic control and management
- Type
- article
- Field-Weighted Citation Impact
- 0.00