Osman Ünsal BAYRAK, Halim Ferit BAYATA, Fatih HATTATOĞLU, Muhammet Ali ÇOLAK

Mikrosimülasyon Kullanılarak Bir Kavşağın Trafk Yönetim Ölçümlerinin Değerlendirilmesi

Trafk yönetiminde ele alınan iki ana amaç sinyalize olmayan kavşaklardaki trafk güvenliğive yolculuk verimliliğidir. Mikroskopik simülasyonlar ulaşım projelerinde ve yönetiminde yaygınbir şekilde kullanılmaktadırlar çünkü simülasyon güvenlidir daha ekonomiktir ve arazi uygulama vedenemelerinden daha hızlıdır. Bu çalışmada Atatürk Üniversitesi Kampüsündeki en yoğun trafk hacminesahip ve yıllık ortalama 15 kazanın olduğu Teknokent Kavşağı incelenmiştir. Araziden elde edilenölçümler VISSIM programı ile simüle edilmiştir. Farklı sinyal programları ve geometrik düzenlemelerönerilmiş ve uygulanmıştır. Uygulamalardan sonra ilgili kavşakta 1,5 yıldır herhangi bir kaza olmamıştır.Önerilen ve uygulanan sağa dönüş adaları kollardaki gecikmeleri minimize etmiştir

Anahtar Kelimeler:

Kavşak, mikrosimülasyon, trafk kazaları, trafk yönetimi, VISSIM

Evolution of a Junction Traffc Management Measures Using Microsimulation Model

Travel effciency and traffc safety of unsignalized intersections are two main objectivesconsidered in traffc management. Microscopic simulations are widely used in transportation operationsand management analysis because “simulation is safer, less expensive and faster than feld implementationand testing”. VISSIM is a microscopic traffc simulation program. The heaviest traffc volume andannually average 15 accidents occurred in Atatürk University campus that connect Çat Road to Hospitalnamed as Teknokent Junction was studied. Field observations were simulated in VISSIM. Signalizationprogram and geometric changes were proposed and applied in the feld. After the application, no traffcaccident was observed in the junction for 1,5 years. Applied right turn island minimized the delay timefor the arms

Keywords:

Junction, microsimulation, traffc accident, traffc management, VISSIM,

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Abdel-Aty and Radwan AE, 2000. Modeling traffc accident occurrence and involvement. Accident Analysis & Prevention, 32: 633-642.
Abdel-Aty M, Pande A and Hsia L, 2010. The concept of proactive traffc management for enhancing freeway safety and operation. ITE journal, 80: 34-41.
Aw A and Rascle M, 2000. Resurrection of” second order” models of traffc ﬂow. SIAM journal on applied mathematics, 60: 916-938.
Bell MC, Galatioto F, Giuffrè T and Tesoriere G, 2012. Novel application of red-light runner proneness theory within traffc microsimulation to an actual signal junction. Accident Analysis & Prevention, 46: 26-36.
Brain F, Joel C, Yang O, 2007. Comparison of VISSIM Model to Other Widely Used Traffc Simulation and Analysis Programs. ITE Journal, 56: 67.
Burghout W and Wahstedt J, 2007. Hybrid traffc simulation with adaptive signal control. Transportation Research Record, No:1999-20, 191- 197.
Cunto F and Saccomanno FF, 2008. Calibration and validation of simulated vehicle safety performance at signalized intersections. Accident Analysis & Prevention, 40: 1171-1179.
Cunto FJC and Saccomanno FF, 2007. Microlevel traffc simulation method for assessing crash potential at intersections. In Transportation Research Board 86th Annual Meeting, 25 January 2007, Washington DC, United States.
De Dios Ortuzar J and Willumsen LG, 1994. Modelling transport. Fourth Edition, Wiley, UK, 586 p .El Esawey M and Sayed T, 2011. Unconventional USC intersection corridors: evaluation of potential implementation in Doha, Qatar. Journal of Advanced Transportation, 45: 38-53.
Fathy M and Siyal MY, 1997. Measuring traffc movements at junctions using image processing techniques. Pattern Recognition Letters, 18: 493-500.
Fellendorf M and Vortisch P, 2001. Validation of the microscopic traffc ﬂow model VISSIM in different real-world situations. In Transportation Research Board 80th Annual Meeting, 7-11 Jan. 2001, Washington D.C.
Flaherty CA, 2000. Regulatory measures for traffc management. Traffc management and collision investigation, Mc hall, 450-464.
García A, Torres AJ, Romero MA and Moreno AT, 2011. Traffc microsimulation study to evaluate the effect of type and spacing of traffc calming devices on capacity. Procedia-Social and Behavioral Sciences, 16: 270-281.
Gladys F, 2009, Traffc management and transport demand management. The World Bank Distance Learning Course in Urban Planning, 450- 458. Golias J, 1997. Effects of signalisation on four-arm urban junction safety. Accident Analysis & Prevention, 29: 181-190.
Gomes G, May A and Horowitz R, 2004. A microsimulation model of a congested freeway using VISSIM. Proceeding Transportation Research Board 83rd Annual Meeting, 12-13 Jan. 2004, Washington D.C. Guido G, Astarita V, Giofré V and Vitale A, 2011. Safety performance measures: a comparison between microsimulation and observational data. Procedia-Social and Behavioral Sciences, 20: 217-225.
Hollander Y and Liu R, 2008. The principles of calibrating traffc microsimulation models. Transportation, 35: 347-362.
Ištoka Otković I, Tollazzi T and Šraml M, 2013. Calibration of microsimulation traffc model using neural network approach. Expert systems with applications, 40: 5965-5974.
Laufer J, 2007. Freeway capacity, saturation ﬂow and the car following behavioural algorithm of the VISSIM microsimulation software. In 30th Australasian Transport Research Forum, 25 April 2007, Melbourne, Australia.
Martínez MP, Garcia A and Moreno AT, 2011. Traffc Microsimulation Study to Evaluate Freeway Exit Ramps Capacity. Procedia-Social and Behavioral Sciences, 16: 139-150.
Park B and Schneeberger J, 2003. Evaluation of traffc signal timing optimization methods using a stochastic and microscopic simulation program. Research report UVACTS-5-0-4, Virginia Charlottesville, VA.
Peden M, 2004. World report on road traffc injury prevention. World Health Organization Geneva, Italy.
Saccomanno FF, Cunto F, Guido G and Vitale A 2008. Comparing safety at signalized intersections and roundabouts using simulated rearend conﬂicts. Transportation Research Record: Journal of the Transportation Research Board, 2078: 90-95.
Shankar K, Prasad C and Reddy T, 2013. Evaluation of Area Traffc Management Measures Using Microscopic Simulation Model. Procedia-Social and Behavioral Sciences, 104: 815-824.
Stevanovic J, Stevanovic A, Martin PT and Bauer T, 2008. Stochastic optimization of traffc control and transit priority settings in VISSIM. Transportation Research Part C: Emerging Technologies, 16: 332-349.
Sun DJ, Zhang L and Chen F, 2013. Comparative study on simulation performances of CORSIM and VISSIM for urban street network. Simulation Modelling Practice and Theory, 37: 18-29.
Truong LT, Sarvi M, Currie G and Garoni TM, 2015. Required traffc micro‐ simulation runs for reliable multivariate performance estimates. Journal of Advanced Transportation, Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/atr.1319.