ABSTRACT
The proposed Access Roads which will connect the Airport Road to the main gate of the African University of Science and Technology, Abuja, Nigeria and the proposed Bridge Housing Estate when constructed will foster broader community goals by promoting business activities within and around the University environment. Topographic data were taken, traffic study and traffic volume forecast where carried out; minimum curve radii and curve lengths were calculated The traffic study for the Main Access Road gave the 851h percentile speed of 62. 07km/hr. The corresponding traffic volume forecast gave an average daily traffic (ADT) of 1, 137 for the Internal Access Road, 4, 466 for the Main Access Road and a speed of 40kmlhr and 60km/hr respectively. Therefore, design speeds of 40km/hr and 60km/hr were adopted for the design. Minimum vertical curve length (Crest) calculated was 85m for the Main Access Road and 55m for the Internal Access Road Minimum vertical curve length (sag) gave l 40m for the Main Access Road and l 15m for the Internal Access Road The total earthwork volume for the two roads gave 7,832.8m3 cut and 21,249.8Jm3 fill. it therefore follows that the driving population affects road types and design speed, and design speed affects road curve lengths.
EBIGIE, F (2022). Computer Aided Geometric Design of Access Roads for Housing Estates, Using Generated Traffic Data: The African University of Science and Technology/ Bridge Estate, Abuja, Nigeria, as a Case S. Afribary. Retrieved from https://track.afribary.com/works/computer-aided-geometric-design-of-access-roads-for-housing-estates-using-generated-traffic-data-the-african-university-of-science-and-technology-bridge-estate-abuja-nigeria-as-a-case-study
EBIGIE, FRANCIS "Computer Aided Geometric Design of Access Roads for Housing Estates, Using Generated Traffic Data: The African University of Science and Technology/ Bridge Estate, Abuja, Nigeria, as a Case S" Afribary. Afribary, 19 Jun. 2022, https://track.afribary.com/works/computer-aided-geometric-design-of-access-roads-for-housing-estates-using-generated-traffic-data-the-african-university-of-science-and-technology-bridge-estate-abuja-nigeria-as-a-case-study. Accessed 19 Nov. 2024.
EBIGIE, FRANCIS . "Computer Aided Geometric Design of Access Roads for Housing Estates, Using Generated Traffic Data: The African University of Science and Technology/ Bridge Estate, Abuja, Nigeria, as a Case S". Afribary, Afribary, 19 Jun. 2022. Web. 19 Nov. 2024. < https://track.afribary.com/works/computer-aided-geometric-design-of-access-roads-for-housing-estates-using-generated-traffic-data-the-african-university-of-science-and-technology-bridge-estate-abuja-nigeria-as-a-case-study >.
EBIGIE, FRANCIS . "Computer Aided Geometric Design of Access Roads for Housing Estates, Using Generated Traffic Data: The African University of Science and Technology/ Bridge Estate, Abuja, Nigeria, as a Case S" Afribary (2022). Accessed November 19, 2024. https://track.afribary.com/works/computer-aided-geometric-design-of-access-roads-for-housing-estates-using-generated-traffic-data-the-african-university-of-science-and-technology-bridge-estate-abuja-nigeria-as-a-case-study