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Estimating saturation flow under weak discipline traffic conditions, case study: Iran

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Intersections, as the critical elements and the major bottleneck points of urban street networks, may have inconsistent performances in different countries. This is largely due to the fact that the factors affecting their performance e.g. driving behavior, vehicle characteristics, control methods, and environmental conditions may vary from one country to another. It is, therefore required to take into account these factors when developing or applying available models and methodologies for their capacity analysis or signal control setting. This is particularly important for the countries with heterogeneous and weak discipline traffic streams such as Iran. Meanwhile, estimating the saturation flow rate, which is a key parameter in capacity and delay analysis and in optimal timing of traffic signals, is of great importance. In this study, the possibility of identifying and or developing appropriate models for estimating the saturation flow rate at the signalized intersections in these situations has been explored. For this purpose, a case study performed at the signalized intersections located in the city of Yazd, a medium sized city located in the middle of Iran. Using the data obtained from several intersections together with the application of analytical procedures proposed by American, Australian, Canadian, Indonesian, Iranian and Malaysian highway capacity guides, the saturation flow rate was estimated from both field observations and analytical methods. A comparison of these results indicated that in the protected left-turn situations, the Australian guide produced the best comparable results with the field data. On the other hand, in the permitted left-turn situations, the method proposed in the American Highway Capacity Manual guide produced the best comparable results with the field data. Furthermore, three new models were developed for estimating the saturation flow rate in three different situations namely, unopposed mixed straight and turning traffic movements, opposed mixed straight and turning traffic movements and merely straight through movement. The effective width, traffic composition, and opposite oncoming through traffic flow were considered as the effective parameters in the proposed models. Moreover, using the multivariate regression analysis, the Passenger Car Equivalent coefficients for motorcycles and heavy vehicles were calculated as 0.51 and 2.09, respectively.
Rocznik
Strony
47--60
Opis fizyczny
Bibliogr. 27 poz., tab., wykr.
Twórcy
  • Department of Civil Engineering, Faculty of Engineering, Yazd University, Yazd, Iran
autor
  • Department of Civil Engineering, Faculty of Engineering, Yazd University, Yazd, Iran
Bibliografia
  • [1] AKCELIK, R., 1981, Traffic Signal: Capacity and Timing Analysis. Research Report 123. Australian Road Research Board, Victoria, Australia.
  • [2] ANUSHA, C. S., VERMA, A. and KAVITHA, G., 2013. Effects of Two-Wheelers on Saturation Flow at Signalized Intersections in Developing Countries, ASCE Journal of Transportation Engineering.
  • [3] AUSTROADS, 2009. Guide to Traffic Management, Part 3: Traffic Studies and Analysis, AGTM09/03, Sydney.
  • [4] BARGEGOL, I., TAHRIRI, A. and NAJAFI MOGHADDAM, V., 2016. Estimation the Saturation Flow Rate at Far-side and Nearside Legs of Signalized Intersection-Case Study: Rasht City, Procedia Engineering, 226-234.
  • [5] BRANSTON, D.M., 1977. Some Factors Affecting the Capacity of Signalized Intersections, Traffic Engineering and Control, 396-20:390, August/September.
  • [6] CHANDRA, S. and KUMAR, U., 2003. Effect of Lane Width on Capacity under Mixed Traffic Conditions in India, Journal of Transportation Engineering, ASCE, 129, 155-160.
  • [7] CHANDRA, S., ZALA, L.B. and KUMAR, V., 1997. Comparing the Methods of Passenger Car Unit Estimation. Journal of Institution of Engineer, 78, 13-16.
  • [8] GREENSHIELDS, B.D., SHAPIRO, D. and ERICKSEN, E.L., 1947. Traffic Performance at Urban Intersections, Technical Report No. 1, Bureau of Highway Traffic, Yale University.
  • [9] INDIAN ROAD CONGRESS, 1994. Guidelines for the Design of At-Grade Intersection in Rural& Urban Areas, IRC-SP-- 1994-41.
  • [10] IRANIAN MANAGEMENT and PLANNING ORGANIZATION, 1997. At-Grade Urban Intersections, Vol. 2: Recommendations and Technical Specifications, Code No. 145-2.
  • [11] IRANIAN MANAGEMENT and PLANNING ORGANIZATION, 1997. At-Grade Urban Intersections, Vol. 3: Background Studies, Code No. 145-3.
  • [12] KIMBER, R.M. and SEMMENS M.C. ,1983. Traffic Signal Junctions: A Track Appraisal of Conventional and Novel Design, Transport and Road Research Laboratory, Laboratory Report LR.
  • [13] MAINI, P. and KHAN, S., 2000. Discharge Characteristics of Heterogeneous Traffic at Signalized Intersections, Proceedings of the Fourth International Symposium on Highway Capacity, Maui, Hawai: 258-270.
  • [14] MINH, C. C. and SANO, K., 2003. Analysis of Motorcycle Effects to Saturation Flow Rate at Signalized Intersection in Developing Countries, J. East. Asia Soc. Transp. Stud., 5, 1211-1222.
  • [15] MINISTRY of PUBLIC WORKS INDONESIA, 1993. Indonesian Highway Capacity Manual. (1993), urban and semi-urban traffic facilities, directorate general of highways ministry of public works, January.
  • [16] MINISTRY of WORKS MALAYSIA, 2006. Malaysian Highway Capacity Manual 2006, Chapter 3.
  • [17] PATIL, R. G., ROA, K.V.K., and XU, M.S.N., 2007. Saturation Flow Estimation at Signalized Intersections in Developing Countries, Proc., 86th Annual Meeting (CD-ROM), Transportation Research Board,Washington, DC.
  • [18] RAVAL, N. G. and GUNDALIYA, P. J., 2012. Modification of Webster’s Delay Formula Using Modified Saturation Flow Model for Non-Lane Based Heterogeneous Traffic Condition, Highway Research Journal, Volume 5, 41-48.
  • [19] SRIKANTH, S. and MEHAR, A., 2017. A Modified Approach for Estimation of Passenger Car Units on Intercity Divided Multilane Highways. Archives of Transport, 42(2) 65-74 .
  • [20] SUTOMO, H.I. 1992. Appropriate Saturation Flow at Traffic Signals in Javanese Cities: a Modeling Approach, Ph.D. Thesis, University of Leeds.
  • [21] TARKO, A. and TRACZ, M., 2000. Uncertainty in Saturation Flow Predictions, Proceedings of Fourth International Symposium on Highway Safety, June 27-July 1, Maui, Hawai, published as TransportationResearch Circular E-C018, Washington, D.C.,310-321.
  • [22] TRANSPORT and ROAD RESEARCH LABORATORY, 1963. A Method of Measuring Saturation Flow at Traffic Signal, Road Note No. 34, London.
  • [23] TRANSPORTATION RESEARCH BOARD, 2000. Highway Capacity Manual, Transportation Research Board-National Research Council, Washangton D.C.
  • [24] TUAN, V. A. and VINH, N. D., 2013. Mixed Traffic Saturation Flows of Signalized Intersections in Motorcycle Dominant Cities, Department of Traffic and Transport, Vietamese-Germany University, Ho Chi Minh City, Vietnam.
  • [25] WAN IBRAHIM, W.H., HOSSAIN, Q. S. and LEONG, L. V., 2007. Estimation of Right-Turn Adjustment Factor at Signalized Intersections for Malaysian Traffic Conditions: Considering Turning Radius and Proportion of Turning Vehicles, Malaysia.
  • [26] WEBSTER, F. V., 1958. Traffic Signal Settings, Road Research Laboratory Technical Paper No. 39, HMSO, London.
  • [27] WERNER, A. and MORRALL, J., 1976. Passenger Car Equivalencies of Trucks, Buses, and Recreational Vehicles for Two-Lane Rural Highways, Transportation Research Record 615. TRB, National Research Council, Washington, DC, 10-17.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6b31b78c-0099-4f01-8507-e65efcaba89f
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