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Article

METHODS FOR THE ASSESSMENT OF PERFORMANCE INDICATION MEASURES AT AMAKOM INTERSECTION AND THEIR APPLICATION IN MICRO SIMULATION MODELING

DOI: 10.7708/ijtte.2014.4(1).03


4 / 1 / 35-51 Pages

Author(s)

Emmanuel Kwesi Nyantakyi - Department of Civil Engineering, Kumasi Polytechnic, P.O. Box 854, Kumasi-Ghana -

Prince Appiah Owusu - Department of Civil Engineering, Kumasi Polytechnic, P.O. Box 854, Kumasi-Ghana -

Julius Kwame Borkloe - Department of Civil Engineering, Kumasi Polytechnic, P.O. Box 854, Kumasi-Ghana -


Abstract

Signalized intersections are vital nodal points in a transportation network and their efficiency of operation greatly influences the entire network's performance. Traffic simulation models have been widely used in both transportation operations and traffic analyses because simulation is safer, less expensive, and faster than field implementation and testing. This study assessed performance indication measures at Amakom intersection using micro simulation models in Synchro/SimTraffic. Traffic, geometric and signal control data including key parameters with greatest impact on the calibration process were collected on the field. At 5% significant level, the Chi square test and t-test analyses revealed that headway had a strong correlation with saturation flow compared to speed for both field and simulated conditions. It was concluded that changes in phasing plan with geometric improvement would improve upon the intersection’s level of service.


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Acknowledgements:

The authors would like to acknowledge the management of Kumasi Polytechnic, Kumasi headed by the Rector Prof. N.N.N. Nsowah-Nuamah, for providing financial assistance and also Department of Urban Roads (DUR), Kumasi for giving information on signalized intersections in the Kumasi Metropolis. Several supports from staff of the Civil Engineering Department, KNUST and Kumasi Polytechnic, Kumasi are well appreciated.


References:

BCEOM and ACON Report. 2004. Consultancy Services for Urban Transport Planning and Traffic Management Studies for Kumasi and Tamale for DUR, Ministry of Transportation, Ghana. Chapter 5, 37-52.

 

Brackstone, M.; McDonald, M. 1999. Car-following: a historical review, Transportation Research Part F: Traffic Psychology and Behaviour. DOI: http://dx.doi.org/10.1016/S1369-8478(00)00005-X, 2(4): 181-196.

 

Drew, D.R. 1968. Traffic flow theory and control. New York: McGraw-Hill.

 

Gazis, D.C.; Herman, R.; Rothery, R.W. 1961. Nonlinear follow-the leader models of traffic flow, Operations Research. DOI: http://dx.doi.org/10.1287/opre.9.4.545, 9(4): 545-567.

 

Gerlough, D.; Huber, M. 1975. Traffic flow theory. A monograph. TRB Special Report 165. Washington, D.C.

 

Gipps, P.G. 1981. A behavioral car-following model for computer-simulation, Transportation Research Part B: Methodological. DOI: http://dx.doi.org/10.1016/0191-2615(81)90037-0, 15(2): 105-111.

 

Gunay, B. 2007. Car following theory with lateral discomfort, Transportation Research Part B: Methodological. DOI: http://dx.doi.org/10.1016/j.trb.2007.02.002, 41(7): 722-735.

 

Jin, S.; Wang, D.H.; Tao, P.F.; Li, P.F. 2010. Non-lanebased full velocity difference car following model. Physica A: Statistical Mechanics and its Applications. DOI: http://dx.doi.org/10.1016/j.physa.2010.06.014, 389(21): 4654-4662.

 

Kallberg, H. 1971. Traffic simulation (in Finnish). Licentiate Thesis, Helsinki University of Technology, Transportation Engineering. Espoo.

 

Kikuchi, C.; Chakroborty, P. 1992. Car following model based on a fuzzy inference system. Transportation Research Record, 1365: 82-91.

 

Liu, P.; Lu, J.J.; Fan, J.; Pernia, J.C.; Sokolow, G. 2005. Effect of U-Turns on Capacity of Signalized Intersections, Transportation Research Record, Journal of the Transportation Research Board. DOI: http://dx.doi.org/10.3141/1920-09, 1920(2005): 74-80.

 

Luo, L.H.; Liu, H.; Li, P.; Wang, H. 2010. Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following, Journal of Zhejiang University-SCIENCE A (Applied Physics and Engineering). DOI: http://dx.doi.org/10.1631/jzus.A0900374, 11(3): 191-201.

 

Mathew, T.V.; Radhakrishnan, P. 2010. Calibration of micro simulation models for nonlane-based heterogeneous traffic at signalized intersections, Journal of Urban Planning and Development. DOI: http://dx.doi.org/10.1061/(ASCE)0733-9488(2010)136:1(59), 136(1): 59-66.

 

McDonald, M.; Brackstone, M.; Sultan, B. 1998. Instrumented vehicle studies of traffic flow models. In Proceedings of the Third International Symposium on Highway Capacity, Copenhagen, Denmark. 755-773.

 

Minh, C.C.; Sano, K.; Tanaboriboon, Y. 2003. Traffic Policy Evaluations Using Micro Traffic Simulation: A Case Study of Thailand, Paper for Presentation at the 2003 Meeting of the Transportation Research Board, Washington, D.C., USA.

 

Newell, G.F. 1961. Nonlinear effects in the dynamics of car following, Operations Research. DOI: http://dx.doi.org/10.1287/opre.9.2.209, 9(2): 209-229.

 

Tordeux, A.; Lassarre, S.; Roussignol, M. 2010. An adaptive time gap car following model, Transportation Research Part B: Methodological. DOI: http://dx.doi.org/10.1016/j.trb.2009.12.018, 44(8-9): 1115-1131.

 

Transportation Research Board. 1993. Highway Capacity Manual, Chapter 9 (Signalized Intersections), National Research Council, Washington, D.C. Turley, C. 2007. Calibration Procedure for a Microscopic Traffic Simulation Model. A Thesis submitted to the Faculty of Brigham Young University, 2-19.

 

Turner, J.; Harahap, G. 1993. Simplified Saturation Flow Data Collection Method: Overseas Centre, Transport Research Laboratory, Crowthorne Berkshire RG456AU, United Kingdom, PA1292/93. Wiedemann, R . 1974. Simulat ion des St raß Enverkehrsf lusses Schriftenreihe des Instituts für Verkehrswesen der Universität Karlsruhe (in German).

 

Wu, J.P.; Brackstone, M.; McDonald, M. 2000. Fuzzy sets and systems for a motorway microscopic simulation model, Fuzzy Sets and Systems. DOI: http://dx.doi.org/10.1016/S0165-0114(99)00038-X , 116(1): 65-76.


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