PREDICTIVE MODELLING OF TRAFFIC FLOW IN AKURE, NIGERIA: UNSIGNALIZED INTERSECTIONS IN FOCUS

Unsignalized intersections namely two-way stop-controlled intersection (TWSC) and all-way stop-controlled intersection (AWSC) are widely used in Akure. Five intersections consisting of three Tee and two Cross that were critical to traffic flow in the study area were selected for study. Data on geome...

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Bibliographic Details
Published in:Journal of urban and environmental engineering 2016-07, Vol.10 (2), p.270
Main Authors: Owolabi, Adebayo O, Oyedepo, Olugbenga J, Okoko, Enobong E
Format: Article
Language:English
Subjects:
Data
Developing countries
Driving conditions
LDCs
Modelling
Motorcycles
Peak periods
Prediction models
Regression analysis
Replication
Roads & highways
Software
Studies
Traffic flow
Traffic intersections
Traffic models
Urban areas
Vehicles
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Summary:Unsignalized intersections namely two-way stop-controlled intersection (TWSC) and all-way stop-controlled intersection (AWSC) are widely used in Akure. Five intersections consisting of three Tee and two Cross that were critical to traffic flow in the study area were selected for study. Data on geometric features were collected using odometer, while traffic parameters were captured and metered using cine camera placed at vantage positions from the intersections during peak and off-peak periods on week days. Traffic flows at the intersections were expressed as functions of traffic characteristics and geometric features of the approaches; while the effect of distances of intersections before and after the intersections studied were also incorporated as correction factors in the models. The models were developed using multiple linear regression technique with the aid of SPSS software and validated with empirical data other than those used for model calibration. Adjusted R2 values of 0.881 and 0.882 were obtained for Tee and Cross intersections respectively for peak period, while 0.938 and 0.940 respectively were obtained for off-peak period. These indicate that the flow models are very robust in replicating the observed data. The predictive models have the potential to accurately estimate traffic flow at intersections in the study area and other cities of the world with similar traffic conditions.
ISSN:1982-3932
DOI:10.4090/juee.2016.v10n2.270278