SPOT SPEED LIMIT STUDIES OF AGAIE-KATCHA-BARO ROAD AGAIE, NIGER STATE
Abstract
The number of accidents in Nigeria increases relatively from year to year, despite the fact that there are many programs organized by the authority to reduce them. Several factors contribute to the occurrence of accidents. Some of which are human behavior, vehicles condition, weather conditions, road surfaces, and road alignments (vertical and horizontal curves). This research presents empirical research to estimate the 85th percentile operating speed limits. The speed data were obtained using a stopwatch on the selected location along the Agaie-Katcha-Baro Road Agaie, Niger State. Spot speed study was adopted as the method for the research. The method has successfully predicted the 85th percentile speed limit for the Agaie-Katcha-Baro Road Agaie, Niger State. It has established maximum and minimum speed limits for the road and has also shown how inexpensive and quick the stopwatch method is in conducting spot speed studies in Nigerian roads. The findings are hoped to provide a lasting solution towards the national design standard for the highway designer and planner to improving the consistency of geometric design elements of the two-lane highways.
References
AASHTO, 2001. Manual design guide for higwayInstitute of Transportation Studies. Berkeley.
Abubakar, I., 2014. The Use of Spot Speed Study to Establish No-Passing Zones on a Two Lane Highway, Department of Civil Engineering, A.B.U. Zaria: s.n.
Adeleke, 2011. Vehicular traffic volume counts and spot speed, Makurdi: s.n.
Agent, K., Pgman, J. and Weber, J., 1998. Evaluation of Speed Limits in Kentucky. Journal of Transportation Research Records, pp. No. 1541, PP. 57-64.
Akmal, A., 2015. Trends and Causes of Traffic Accidents. A Selection Dilemma of Transportation System Engineering, Dubai: s.n.
Aminu, B., 2017. Development of Speed Limits Model for Felele Road Lokoja, Kogi, Department of Civil Engineering, Ahmadu Bello Unibersity, Zaria: s.n.
Basheer, I. and Najjar, Y., 1996. A Neural Network-Based Distress Model for Kansas JPCP Longitudinal Joints. Intelligent Engineering System Through Artificial Neural Networks, pp. Vol.6, pp. 983-988.
Ben-Arieh, D., Chang, S., Rys, M. and Zhang, G., 2004. Gometric Modelling of Roadways Using Global Positioning System Data and B-spline Approximation. Journal of Transportation Engineering, pp. 130(5), 632-636.
Brewer, M., Pesti, G. and Schneider, W., 2006. Improving Compliance with Work Zone. Transportation Research Board, pp. No. 1948, PP. 67-76.
Cardoso, J., Kabbach-Junior, F. and Suzuki, C., 2000. Analisis of Speed Prediction for Design Consistency of Two-Lane Rural Highways. In 4th International Symposium on Highway Geometric Design.
Carlson, M., Fitzpatrick, p., Brewer, M. and Wooldridge, 2003. Design Speed, and Posted Speed Practice. NCHRP Report, p. 504.
Donald, D. and Caimey, P., 2004. Higher Open Road Speed Limit. An Objective Assessment, p. No. 298.
Ewing, R., 1999. Traffic Calming Impacts. Institute of Transportation Engineers, pp. PP. 99-126.
Fitzpatrick, 1997. Design Manual Guide.
Garber, J. and Hoel, A., 2009. Traffic and Highway Engineering. Virginia: Univewrsity of Virginia.
Gonet, H. M., 2007. Design Consitency of Horizontal Alignments on, Addis Ababa: s.n.
Homburger, W. et al., 1996. Spot Speed Studies. In Fundamentals of Traffic Engineering. Berkeley: Institute of Transportation Studies.
INDOT, 1992. Design Manual, s.l.: s.n.
Issa, R., Zaman, M. and Najjar, Y., 1998. Modeling the 85th Percentile Speed on Oklahoma Two-Lane Rural Highways: A Neural Network Approach. Final Report submitted to Oklahoma Department of Transportation (ODOT), pp. project No. 6007; ORA 125-5227.
Javid and Shahid, 2011. Spot speed study, s.l.: s.n.
Kadri, T., 2015. Spot Speed Studies; A Case Study of Airport Road Abuja, Department of Civil Engineering Ahmadu Bello University, Zaria: s.n.
Knoblauch, R., Pietrucha, M. and Nitzberg, M., 2006. Field Studies of pedestrian Walking Speed and Start-Up Time. Transportation Research Board, pp. No. 1538, PP. 27-38.
Knowles, V., Persaud, B. and Parker, M., 1997. Safety,Speed and Speed Management. Ottawa: A Canadian Review.
Lamm, R. and Choueiri, E., 1987. Recommendations for Evaluating Horizontal Design Consistency Based Investigations in the State of New York. Transportation Research Record, Washington, DC.
Mattox, J. et al., 2007. Development and Evaluation of Speed-Activated Sign to Reduce Speed in Work Zones. Transportation Research Board, pp. No. 2015. PP. 3-11.
McFadden, J., Yang, W. and Durranc, S., 2001. Application of Artificial Neural Network to Predict Speeds on Two-Lane Rural Highways. Journal of Transportation Research Record, pp. No. 1751, PP. 20-27.
McFadden, J., Yang, W. and Durranc, S., 2001. Application of Artificial Neural Network to Predict Speeds on Two-Lane Rural Highways. Journal of Transportation Research Record, No. , pp. 1751, pp. 20-27..
Memon, R. and Khaskheli, G. Q. A., 2008. Operating Speed Models for Two-Lane Rural Roads in pakistan. Canadian Journal Civil Engineering, pp. Vol.35, 443-453.
Misaghi, P. and Hassan, Y., 2005. Modeling Operating Speed and Speed Differential on Two-Lane Rural HIghways. Journal of Transportation, pp. 131(6), 408-417.
MUTS, 2001. Highway desin manual, s.l.: s.n.
Najjar, Y., Basheer, I. and McReynolds, R., 1996. Neural Modeling of Kansas Soil Swelling. Journal of Transportation Research Record, pp. No. 1526, pp. 14-19.
Najjar, Y., Russell, E., Stokes, R. and Ghassan, A. L., 2002. New Speed Limits on Kansas Highways: Impact on Crashes and Fatalities. Journal of the Transportation Research Forum, pp. Vol. 56, No.4, pp.119-147.
Najjar, Y., Stokes, R. and Russell, E., 1999. Using Roadway Characteristics to Set Reasonable Speed Limits on Kansas Two-Lane Rural Roads. Intelligent Engineering System through Artificial Neural Network, pp. Vol. 9, pp. 833-838..
Najjar, Y., Stokes, R. and Russell, E., 2000. Setting Speed Limits on Kansas Two Lane Highways.. Journal of Transportation Research Record, pp. NO. 1708, PP. 20-27.
Nehate, G. and Rys, M., 2006. 3D Calculation of Stopping-Sight Distance fro GPS Data. Journal of Transportation Engineering, pp. 132(9), 691-698.
Nicholas, 2009. Design Manual Guide, s.l.: s.n.
Oflaherty, C., 1997. Highways and Traffic Volumes: Volume. 1. London: s.n.
Parker, M., 1985. Synthesis of Speed Zoning Practices. Federal Highway Administration.
Rilwan, B., 2015. Spot Speed Studies A Case Study of Zaria-Kaduna Expressway, Department of Civil Engineering, Ahmadu Bello University, Zaria: s.n.
Roger, 2004. Standard Handbook for Civil Engineers. New York: 5th Edition.
Salter, R., 1976. Highway Traffic Analysis and Design. London: Macmillan.
Simpson, P., 1990. Artificial Neural Systems: Foundations, Paradigm, Application, and Implementations. New York: Pergamon Press.
Solomon, D., 1964. Accident on Main Rural Highway Relatesd to Speed, Drivers and Vehicles, Technical Report U.S Department of Commerce Bureau of Public Works: s.n.
Tarefder, R., White, L. and Zaman, M., 2005. Neural Network Model for Asphalt Concrete Permeability. Journal of Materials in Civil Engineering,, pp. Vol. 17, No.1, pp.19-27.
Taylor, D. et al., 2007. Artificial Neural Network Speed Profile Modek for Construction Work Zones on High-Speed Highways. Journal of Transportation Engineering, pp. pp. 198-204.
Voigt, A., Stevens, C. and Borchardt, D., 2008. Dual-Advisory Speed Signing on Freeway-to-Freeway Connectors in Texas. Transportation Research Board, pp. No. 2056, PP. 87-94.
Zaman, M., Issa, R. and Najjar, Y., 2000. Modelling the 85th Percentile Speed on Oklahoma Two-Lane Rural Highways Via Neural Network Approach. Computational Intelligence Applications in Pavement and Geotechnical Systems, Attoh-Okine (Editor), pp. pp. 99-108
Copyright (c) 2021 FUDMA JOURNAL OF SCIENCES
This work is licensed under a Creative Commons Attribution 4.0 International License.
FUDMA Journal of Sciences
