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Evolution of a Junction Traffc Management Measures Using Microsimulation Model

Yıl 2016, Cilt: 6 Sayı: 3, 87 - 96, 30.09.2016

Öz

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

Kaynakça

  • 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.

Mikrosimülasyon Kullanılarak Bir Kavşağın Trafk Yönetim Ölçümlerinin Değerlendirilmesi

Yıl 2016, Cilt: 6 Sayı: 3, 87 - 96, 30.09.2016

Öz

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

Kaynakça

  • 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.
Toplam 26 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm İnşaat Mühendisliği / Civil Engineering
Yazarlar

Osman Ünsal Bayrak

Halim Ferit Bayata Bu kişi benim

Fatih Hattatoğlu Bu kişi benim

Muhammet Ali Çolak Bu kişi benim

Yayımlanma Tarihi 30 Eylül 2016
Gönderilme Tarihi 5 Mart 2016
Kabul Tarihi 2 Mayıs 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 6 Sayı: 3

Kaynak Göster

APA Bayrak, O. Ü., Bayata, H. F., Hattatoğlu, F., Çolak, M. A. (2016). Evolution of a Junction Traffc Management Measures Using Microsimulation Model. Journal of the Institute of Science and Technology, 6(3), 87-96.
AMA Bayrak OÜ, Bayata HF, Hattatoğlu F, Çolak MA. Evolution of a Junction Traffc Management Measures Using Microsimulation Model. Iğdır Üniv. Fen Bil Enst. Der. Eylül 2016;6(3):87-96.
Chicago Bayrak, Osman Ünsal, Halim Ferit Bayata, Fatih Hattatoğlu, ve Muhammet Ali Çolak. “Evolution of a Junction Traffc Management Measures Using Microsimulation Model”. Journal of the Institute of Science and Technology 6, sy. 3 (Eylül 2016): 87-96.
EndNote Bayrak OÜ, Bayata HF, Hattatoğlu F, Çolak MA (01 Eylül 2016) Evolution of a Junction Traffc Management Measures Using Microsimulation Model. Journal of the Institute of Science and Technology 6 3 87–96.
IEEE O. Ü. Bayrak, H. F. Bayata, F. Hattatoğlu, ve M. A. Çolak, “Evolution of a Junction Traffc Management Measures Using Microsimulation Model”, Iğdır Üniv. Fen Bil Enst. Der., c. 6, sy. 3, ss. 87–96, 2016.
ISNAD Bayrak, Osman Ünsal vd. “Evolution of a Junction Traffc Management Measures Using Microsimulation Model”. Journal of the Institute of Science and Technology 6/3 (Eylül 2016), 87-96.
JAMA Bayrak OÜ, Bayata HF, Hattatoğlu F, Çolak MA. Evolution of a Junction Traffc Management Measures Using Microsimulation Model. Iğdır Üniv. Fen Bil Enst. Der. 2016;6:87–96.
MLA Bayrak, Osman Ünsal vd. “Evolution of a Junction Traffc Management Measures Using Microsimulation Model”. Journal of the Institute of Science and Technology, c. 6, sy. 3, 2016, ss. 87-96.
Vancouver Bayrak OÜ, Bayata HF, Hattatoğlu F, Çolak MA. Evolution of a Junction Traffc Management Measures Using Microsimulation Model. Iğdır Üniv. Fen Bil Enst. Der. 2016;6(3):87-96.