Nowadays due to rapid population growth and hence increasing demand for transportation, traffic congestion at road intersections become a serious problem for developed as well as developing countries. Traffic congestion causes considerable costs due to unproductive time losses, extra fuel consumption, accidents and also has a negative impact on the environment such as air pollution, noise and stress. Thus, economic analysis of multi-lane intersections and improvement alternatives take account of vehicles cost of fuel consumption and time costs incurred by users of the road junctions. The objective of this study was about determining average waiting time of vehicles and estimating cost incurred due to delay at unsignalized double lane roundabouts and signalized cross intersections. In this study MMAS Cellular Automata model and Poisson queuing model were used. The study tried to calculate the average waiting time (delay) of vehicles in the system (in queue plus in service) at both types of road intersections. The study was tried to quantify vehicles waiting time at both types of road intersections (cost incurred due to delay); that is cost of time lost for passengers and cost of extra fuel consumed by vehicles. Based on the findings of the study, that is based on time and fuel lost (though other factors are not included), signalized cross intersections are better than roundabouts to minimize traffic congestion problem at road junctions.
Published in | Applied and Computational Mathematics (Volume 4, Issue 4) |
DOI | 10.11648/j.acm.20150404.20 |
Page(s) | 321-330 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Roundabout, Cross Intersection, Poisson Queuing Model, Average Waiting Time, Number of Vehicles in the System, Cost of Time Lost, Cost of Extra Fuel Consumed
[1] | H. J. Ruskin and R. Wang, “Modelling traffic Flow at Multi- lane Urban Round abouts", International Journal of Modern Physics C,Vol. 17 (2006)693-710. |
[2] | R. Kakooza, L.S. Luboobi and J.Y. T. Mugisha, , “Modelling Traffic Flow and Management at Signalized, Signalized and Roundabout Road intersections", Journal of Mathematics and Statistics,1(2005),194-202. |
[3] | Chimdessa Y. Seboka, Semu M. Kassa and Legesse Lemecha, “Efficiency of Roundabouts as Compared to Traffic Light Controlled Intersections in Urban Road Networks”, Momona Ethiopian Journal of Science (MEJS), V5(2):81-100, 2013 ©CNCS, Mekelle University, ISSN:2220-184X |
[4] | Robinson B. W., Rodegerdts L., Scarborough W., Kittelson W., Troutbeck R., Brilon W., Bondzion L., Courage K., Kyte M., Mason J., Flannery A., Myers E., Bunker J., Jacquemart G., “Roundabouts: an Informational Guide", U.S. Department of Transportation Federal Highway Administration, publication Number FHWA-RD-00-067, June 2000. |
[5] | Deo L., Akkawi F., Deo P., “Simulation model for urban ternary mix-traffic flow", Proc. of SPIE Vol. 6802,680210, (2008). |
[6] | Ding D., “Modeling and simulation of highway traffic using a cellular automaton approach", Department of Mathematics, Uppsala University,(December, 2011). |
[7] | Szklarski J., “Cellular automata model of self-organizing traffic control in urban networks", Bulletin of the Polish Academy of Sciences Technical Sciences, Vol. 58, No. 3, 2010, DOI: 10.2478/v10175-010- 0041-3. |
[8] | Wang B. Eng., M. Eng., “Modeling Unsignalized Traffic Flow with Reference to Urban and Interurban Networks", School of Computer Applications, Dublin City University, (January 2003). |
[9] | Wallwork M.J, P.E., “Alternate Traffic Control: Roundabouts", Genesis Group, Inc., Jacksonville, Florida, (July, 2007). |
[10] | Furtado G., “Accommodating Vulnerable Road Users in Roundabout Design", A McElhanney Consulting Services Ltd., Surrey, BC, (August, 2007). |
[11] | Butch W., Metzer S.G., AICP, and Owens C.R., “Transportation Planning Division", American Planning Association, volume XXVII number 4 fall 2002. |
[12] | http://en.wikipedia.org/wiki/Roundabout, accessed on wikipedia, 06/05/2012. |
[13] | Zhang L., Matteis T. and Haubmann P., “Congestion Costs and Infrastructure Development: A Simulation Case Study", Institute for Economic Policy Research (IWW), Karlsruhe Institute of Technology, Waldhornstrasse 27, 6131. |
[14] | Hansen I., “Determination and valuation of Traffic Congestion Costs", EJTIR,1,no.1 (2001), pp. 61-72. |
[15] | Das S., “A Queuing Analysis of Freeway Bottleneck Formation and Shockwave Propagation", M.Sc.Thesis, Civil Engineering, University of Minnesota, (July,1999) |
[16] | Minh C. C., Binh T. H., Mai T. T. and Sano K., “The Delay Estimation under Heterogeneous Traffic Conditions", Journal of the Eastern Asia Society for Transportation Studies, Vol.7, 2009. |
[17] | Chiguma M. L.M., “Analysis of Side Friction Impacts on Urban Road Links; Case study Dar-es-salaam", Stockholm, Sweden,ISSN 1653-4468, 2007. |
[18] | Pal M. and Sarkar D., “Delay, fuel loss and noise pollution during idling of vehicles at signalized intersection in Agartala city, India", Vol 2, No.6, 2012. |
[19] | H. J. Ruskin and R. Wang, “Modeling Traffic Flow at an Urban Unsignalized Intersection", ICCS 2002, LNCS 2329, Springer-Verlag Berlin Heidelberg, pp. 381390,2002. |
[20] | Shokri F., Mokhtarian H. R, Ismail A. and Rahmat R., “Comparing the Design of Roundabout and Intersection with aaSIDRA Software", European Journal of Scienti_c Research, ISSN 1450-216X Vol.40 No.2 (2010), pp.239-246. |
[21] | Vlahos E., Polus A. and Faghri A., “Comparative Analysis and Development of a Rating System for the conversion of All-Way Stop Controlled Intersecti into Roundabouts", Delaware Center for Transportation, Newark, Delaware 19716(302) 831-1446, (May, 2006) |
[22] | Schrank D., Lomax T. and Eisele B., “Texas Transportation Institute: Urban Mobality Reports", University Transportation Center for Mobility,(September, 2011). |
[23] | Taekratok T., “Modern Roundabouts for Oregon", Oregon Department of Transportation Research Unit, 200 Hawthorne SE, Suite B-240 Salem, OR 97310, June,1998). |
[24] | Taha H. A., “Operations Research: An Introduction, eighth edition", Pearson Education,Inc., 2007 |
[25] | Hillier F. S. and Lieberman G. J., “Introduction to Operations Research, seventh edition", McGraw-Hill Companies, 2001 |
[26] | Gazis D. C., “TraFFIc Theory ", Kluwer Academic Publishers, 2002 |
[27] | Opara-Nadi G. E, “Electronic Selfcheckout System vs Cashier Operated System: a Performance Based on comparative Analysis ", PhD. Dissertation, School of Business,Capella University, (May, 2005) |
[28] | Taddesse W., “Assessing and Quantifying The Level of Traffic Congestion at Major Intersections in Addis Ababa", M.Sc.Thesis,Civil Engineering (Road and Transport Engineering) department,Addis Ababa University, (September, 2011) |
[29] | Lindsey C. R. and Verhoef E.T., “Congestion Modelling", Department of Economics,University of Alberta,(November, 1999) |
[30] | Wachs M., Samuels O. M., Skinner R.E., “Highway capacity Manual(HCM2000)",Transportation Research Board, National Research Council, published by the National Academy of Sciences (2000). |
[31] | Ngoc-Hien Do, Ngoc-Quynh-Lam Le, Ki-Chan Nam, “Coordination between traffic light system and traffic circle: A simulation analysis approach”, International Journal of Mechanical Engineering and Applications Science Publishing Group, Vol. 3, No. 1-3, 2015, pp. 1-8. |
[32] | Güney Gorgun, Ibrahim Halil Guzelbey, “Simulation of traffic lights for green wave and dynamic change of signal”, American Journal of Software Engineering and Applications Science Publishing Group, Vol. 2, No. 6, 2013, pp. 125-132. |
APA Style
Tarekegn Mitiku Agajie. (2015). Dynamical Systems and Network Flows: Traffic Flow Problem on Multi-lane Intersections (Economic Analysis). Applied and Computational Mathematics, 4(4), 321-330. https://doi.org/10.11648/j.acm.20150404.20
ACS Style
Tarekegn Mitiku Agajie. Dynamical Systems and Network Flows: Traffic Flow Problem on Multi-lane Intersections (Economic Analysis). Appl. Comput. Math. 2015, 4(4), 321-330. doi: 10.11648/j.acm.20150404.20
AMA Style
Tarekegn Mitiku Agajie. Dynamical Systems and Network Flows: Traffic Flow Problem on Multi-lane Intersections (Economic Analysis). Appl Comput Math. 2015;4(4):321-330. doi: 10.11648/j.acm.20150404.20
@article{10.11648/j.acm.20150404.20, author = {Tarekegn Mitiku Agajie}, title = {Dynamical Systems and Network Flows: Traffic Flow Problem on Multi-lane Intersections (Economic Analysis)}, journal = {Applied and Computational Mathematics}, volume = {4}, number = {4}, pages = {321-330}, doi = {10.11648/j.acm.20150404.20}, url = {https://doi.org/10.11648/j.acm.20150404.20}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20150404.20}, abstract = {Nowadays due to rapid population growth and hence increasing demand for transportation, traffic congestion at road intersections become a serious problem for developed as well as developing countries. Traffic congestion causes considerable costs due to unproductive time losses, extra fuel consumption, accidents and also has a negative impact on the environment such as air pollution, noise and stress. Thus, economic analysis of multi-lane intersections and improvement alternatives take account of vehicles cost of fuel consumption and time costs incurred by users of the road junctions. The objective of this study was about determining average waiting time of vehicles and estimating cost incurred due to delay at unsignalized double lane roundabouts and signalized cross intersections. In this study MMAS Cellular Automata model and Poisson queuing model were used. The study tried to calculate the average waiting time (delay) of vehicles in the system (in queue plus in service) at both types of road intersections. The study was tried to quantify vehicles waiting time at both types of road intersections (cost incurred due to delay); that is cost of time lost for passengers and cost of extra fuel consumed by vehicles. Based on the findings of the study, that is based on time and fuel lost (though other factors are not included), signalized cross intersections are better than roundabouts to minimize traffic congestion problem at road junctions.}, year = {2015} }
TY - JOUR T1 - Dynamical Systems and Network Flows: Traffic Flow Problem on Multi-lane Intersections (Economic Analysis) AU - Tarekegn Mitiku Agajie Y1 - 2015/07/29 PY - 2015 N1 - https://doi.org/10.11648/j.acm.20150404.20 DO - 10.11648/j.acm.20150404.20 T2 - Applied and Computational Mathematics JF - Applied and Computational Mathematics JO - Applied and Computational Mathematics SP - 321 EP - 330 PB - Science Publishing Group SN - 2328-5613 UR - https://doi.org/10.11648/j.acm.20150404.20 AB - Nowadays due to rapid population growth and hence increasing demand for transportation, traffic congestion at road intersections become a serious problem for developed as well as developing countries. Traffic congestion causes considerable costs due to unproductive time losses, extra fuel consumption, accidents and also has a negative impact on the environment such as air pollution, noise and stress. Thus, economic analysis of multi-lane intersections and improvement alternatives take account of vehicles cost of fuel consumption and time costs incurred by users of the road junctions. The objective of this study was about determining average waiting time of vehicles and estimating cost incurred due to delay at unsignalized double lane roundabouts and signalized cross intersections. In this study MMAS Cellular Automata model and Poisson queuing model were used. The study tried to calculate the average waiting time (delay) of vehicles in the system (in queue plus in service) at both types of road intersections. The study was tried to quantify vehicles waiting time at both types of road intersections (cost incurred due to delay); that is cost of time lost for passengers and cost of extra fuel consumed by vehicles. Based on the findings of the study, that is based on time and fuel lost (though other factors are not included), signalized cross intersections are better than roundabouts to minimize traffic congestion problem at road junctions. VL - 4 IS - 4 ER -