scholarly works
Permanent URI for this collectionhttps://repository.ui.edu.ng/handle/123456789/566
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Item Capacity Analysis of Two-lane Highways Operating under Non-ideal Conditions(Department of Civil Engineering, University of Ibadan, 2015) Akintayo, F. O.; Agbede, O. A.The highway system is an important component of the transportation system in many countries of the world. Studies have shown that many factors contribute to capacity reduction of highways. Traffic steam characteristics of three highways in Ibadan metropolis were captured in 2011. Models were developed to quantify the prevailing conditions of the roads. The capacity analysis of the roads was carried out based on the methodologies described in the United States Highway Capacity Manual (HCM 2000).The traffic stream was heterogeneous in nature. The analysis showed that the highways were operating under non-ideal conditions which resulted in capacity reduction and performance level. The resulting models are useful in evaluating capacity performance of two-lane highways for Improved optimization of the systemItem Vehicle headway distribution modelling of free-flowing traffic on two-lane single carriageways(Department of Civil Engineering University of Ilorin, Ilorin, Nigeria, 2015) Akintayo, F. O.; Agbede, O. A.Studies on vehicle headways are employed to understand traffic flow on highways. We model the vehicle headway distributions on a two-lane single carriageway in Ibadan, Nigeria. The Headway Generation Algorithm (THEGA) was developed to generate theoretical values for headway distribution modelling. Headway data for model calibration and validation were collected along Ibadan-Abeokuta Road for five days in April 2008 using a video camera. The generated headways fitted hyperbolic distribution models, and a spreadsheet of cumulative headway distribution was developed for a user-specified volume for flows ranging from 700 to 1000 vehicles per hour (vph). The results associated long headways with low flows, which reduced to short headways as flows increased and random arrival of vehicles changed to a car-following system. The validation of results with the Kolmogorov–Smirnov goodness-of-fit test at 0.01 significance level indicated good fits for the range of observed traffic volumes. The algorithm developed can be used to simulate traffic flows on two-lane single carriageways with the overall goal of efficient and effective traffic management of highway systems
