SPEED DETERMINATION FOR EFFECTIVE TRAFFIC MANAGEMENT USING MOVING OBSERVER METHOD : CASE STUDY TOMBIA ROUNDABOUT-BERGER ROAD, YENAGOA TOWN IN BAYELSA STATE OF NIGERIA

A. Bukuromo, C.B. Ejiogu

Abstract


Effective traffic management is dependent on reliable traffic data acquisition and analysis.Economically obtaining reliable traffic data is crucial and the moving observer method plays a pivotal role in this regard. Focusing on the dual lane roadway of Tombia roundabout-Berger road located in Yenagoa Town,  Bayelsa, where proper road management is required for the increasing number of vehicle population,the moving observer method was adopted for the  determination of the running and journey speed in both direction.The field traffic data was collected on a moving test car in both direction of traffic. The journey and running speeds in the north  and south bound lanes were computed as; 45.6kilometer per hour(K.P.H) 48.2 K.P.H and 49.7 K.P.H, 52.7 K.P.H respectively. The result reveals that the south bound lane have a higher value of the journey and running speeds than the north bound lane, which provides insight into the traffic flow efficiency and areas for potential improvements in lanes usage.It is recommended that parking management and traffic regulation enforcement should be entrenched  to optimize the overall  performance and reduction of  congestion in Tombia roundabout to Berger road .  

KEYWORDS: Moving observer method, Runningspeed, Journeyspeed, North bound direction and South bound    direction.


Full Text:

PDF

References


Aarts, L., & van Schagen, I. (2006). Driving speed and the risk of road crashes: A review. Accident Analysis & Prevention, 38(2), 215-224.

Adekeye, W. O. (2018). Urbanization and infrastructure development in Yenagoa, Nigeria. Journal of Urban Management, 7(2), 123-135.

Branston, D. (1976). Models of single lane time headway distributions. Transportation Science, 10(2), 125-148.

Brown, A., Smith, J., & Zhang, L. (2023). Advanced Vehicular Speed Determination System Using Integrated Sensor Networks for Optimized Traffic Management.

Chen, C. (2017). Real-time traffic speed estimation using radar and video sensors. Journal of Transportation Technologies, 7(2), 45-58.

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.

Elvik, R. (2009). The power model of the relationship between speed and road safety: Update and new analyses. Institute of Transport Economics.

Fazio, J., &Rouphail, N. M. (1990). Conflict Analysis of Pedestrian-Vehicle Interactions at Unsignalized Pedestrian Crossings. Transportation Research Record.

Federal Highway Administration (FHWA). (2020). Traffic Monitoring Guide. U.S. Department of Transportation.

Garber, N. J., & Hoel, L. A. (2014). Traffic and Highway Engineering. Cengage Learning.

Gerlough, D. L., & Huber, M. J. (1975). Traffic Flow Theory: A Monograph. Transportation Research Board.

Hall, F. L., Hurdle, V. F., & Banks, J. H. (1992). Synthesis of recent work on the nature of speed-flow and flow-occupancy (or density) relationships on freeways. Transportation Research Record, 1365, 12-18.

Highway Capacity Manual (HCM). (2010). Highway Capacity Manual. Transportation Research Board, National Research Council.

Johnson, D. (2019). Impact of On-Street Parking on Traffic Flow. Traffic Engineering Journal, 45(3), 214-228.

Kadiyali, L. R. (1987). Traffic Engineering and Transportation Planning. Khanna Publishers, New Delhi.

Mannering, F., & Washburn, S. (2012). Principles of Highway Engineering and Traffic Analysis. Wiley.

May, A. D. (1990). Traffic Flow Fundamentals. Prentice Hall.

McShane, W. R., Roess, R. P., &Prassas, E. S. (2011). Traffic Engineering. Pearson/Prentice Hall.

Oskarbski, J., Kaminski, T., Kyamakya, K., Chedjou, J. C., Zarski, K., &Pedzierska, M. (2022). Assessment on the impact of speed management on road traffic safety on the sections of motorways and expressways using simulation method.

Papacostas, C. S. (1987). Fundamentals of Transportation Engineering. Prentice-Hall, New Delhi.

Papageorgiou, M., Diakaki, C., Dinopoulou, V., Kotsialos, A., & Wang, Y. (2003). Review of Road Traffic Control Strategies. Proceedings of the IEEE.

Poudenx, P. (2008). The effect of transportation policies on energy consumption and greenhouse gas emission from urban passenger transportation. Transportation Research Part A: Policy and Practice, 42(6), 901-909.

Poudenx, P. (2008). The Environmental Impacts of Road Vehicles: A Comparative Analysis of the Current Situation. Transportation Research Part D: Transport and Environment, 13(5), 328-335.

Roess, R. P., Prassas, E. S., &McShane, W. R. (2011). Traffic Engineering. Pearson Education, Inc.

Sharma, S., Tiwari, G., & Fazio, J. (2019). Traffic Management and Intelligent Transportation Systems. Journal of Intelligent Transportation Systems, 23(4), 323-337.

Smith, A. (2020). The Effects of Urban Parking on Traffic Congestion. Journal of Transport Studies, 32(1), 115-129.

Smith, J., Brown, A., & Zhang, L. (2023). Assessment on the Impact of Speed Management on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Method.

Svestka, J. R. (1976). Moving Observer Method for Traffic Speed Studies. Transportation Engineering Journal. 13(2), 19-35

Transportation Research Board (TRB). (2010). Highway Capacity Manual. National Academies of Sciences, Engineering, and Medicine.

Wang, Y., Liu, Y., & He, Z. (2014). A review of the self-adaptive traffic signal control system based on future traffic environment. Journal of Traffic and Transportation Engineering (English Edition), 1(3), 173-184.

Wang, Y., Zhang, Y., Liu, H., & Lee, C. (2014). Traffic Data Collection with a Moving Observer A Study of Effectiveness. Transportation Research Record, 2421(1), 52-61.


Refbacks

  • There are currently no refbacks.


Copyright © 2022-2025. Department of Civil Engineering, Nnamdi Azikiwe University. All Rights Reserved.. 

Powered by Myrasoft Systems Ltd.(http://www.myrasoft.com.ng)