Abstract
Traffic congestion has been a major challenge all over the world. In a bid to avoid losing revenue and man-hours on roads, traffic management and congestion control are to be given top priority. Traffic congestion will occur almost on any road system whenever instantaneous demand exceeds the capacity to provide a service. In this study, we modelled the traffic flows at signalized intersections during the peak periods by using M/M/1 model. Models from queuing theory are widely used in understanding and controlling congestion in computing, vehicular traffic flow, production and manufacturing systems. Based on the collected data from traffic counts and oral interviews, this work contributes to the prediction of road traffic intensity at Sango, Oyo State, Nigeria. The computed results showed that traffic intensity, ρ ＜ 1 for all sessions and that queueing based method are competitive and promising when subjected to comparison with other approaches based on selected study areas. The model can also be applied in studies of other types of congestion in data telecommunication, healthcare delivery and access, etc. Finally, suggestions for better transport planning policies for the state government are proffered which include promotion of internet services, establishment of specialized traffic radio for accurate and real-time updates and the use of mobile phone services.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
