Journals / Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2018 / Cilt: 11 - Sayı: 3

Evaluation of a Newly Planned Intersection with Micro-Simulation

Yeni Yapılması Planlanan bir Kavşağın Mikro-Simülasyon ile Değerlendirilmesi

Pages
550–559
Publication Date
2018-12-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the micro-simulation analyses results, a reduction of 35% for travel time and delays, 83% for queue lengths and 23% for exhaust emissions were observed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The number of vehicles registered to traffic in Erzurum is 114,044 according to the data of 2017 (TUIK).
📊
Key Findings & Data:At the same time, as it is one of the attraction centers of the region, the seasonal increase in the number of vehicles is by 17.61%.
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Conclusion & Impact:According to the micro-simulation analyses results, a reduction of 35% for travel time and delays, 83% for queue lengths and 23% for exhaust emissions were observed.
🔬Design:Modeling & Simulation
📍Scope:2017 Verileri
⚙️Variables:Kavşak · Mikro-simülasyon · Trafik yönetimi

Abstract

The number of vehicles registered to traffic in Erzurum is 114,044 according to the data of 2017 (TUIK). Erzurum is one of the largest cities in the Eastern Anatolia Region. At the same time, as it is one of the attraction centers of the region, the seasonal increase in the number of vehicles is by 17.61%. Although this number increases by an average of 2.8% each year, the capacities of existing roads remain constant. This result leads the current roads to become inadequate, and along with an increase in traffic density, the travel time, delays, exhaust emissions and fuel consumption are increased. In addition, recent studies have shown that approximately 52% of the traffic accidents occurred in urban centers in Turkey occur at the junctions.In this study, the effect of a junction planned by the 12th Regional Directorate of Highways on the environmental and regional traffic was investigated. The planned junction is on the Erzurum-Bingöl state road and the point connecting Atatürk University Campus to this road. The current and new situation are modelled on the VISSIM micro-simulation program and the travel time, delay, queue lengths, CO, NOx, VOC and fuel consumption are compared with each other. According to the micro-simulation analyses results, a reduction of 35% for travel time and delays, 83% for queue lengths and 23% for exhaust emissions were observed.

Özet

Erzurum’da trafiğe kayıtlı araç sayısı 2017 yılı (TUİK) verilerine göre, 114.044’tür. Erzurum, Doğu Anadolu Bölgesinin en büyük şehirlerinden biridir. Aynı zamanda, bölgenin cazibe merkezlerinden biri olduğu için, araç sayısındaki mevsimsel artış% 17.61'dir. Bu sayı her yıl ortalama %2,8 artmasına rağmen, mevcut yolların kapasiteleri sabit kalmaktadır. Bu sonuç, yolların yetersiz kalmasına neden olmakta, trafik yoğunluğunun artmasıyla birlikte, seyahat süresi, gecikme ve egzoz emisyonlarının artmasını da beraberinde getirmektedir. Buna ek olarak, yapılan araştırmalar, Türkiye’de şehir merkezlerinde meydana gelen trafik kazalarının yaklaşık %52’sinin kavşaklarda meydana geldiğini göstermektedir. Bu çalışmada, Karayolları 12. Bölge Müdürlüğü tarafından yapılması planlanan bir kavşağın çevre ve bölge trafiğine etkisi araştırılmıştır. Yapılması düşünülen kavşak, Erzurum-Bingöl devlet yolu üzerinde ve Atatürk Üniversitesi Kampüsünü bu yola bağlayan nokta üzerindedir. Mevcut ve yeni durum, VISSIM mikro-simülasyon programı ile modellenmiş ve seyahat süresi, gecikme, kuyruk uzunlukları ile CO, NOx, VOC ve yakıt tüketimleri karşılaştırılmıştır. Mikro-simülasyon analiz sonuçlarına göre, seyahat süresi ve gecikmelerde %35, kuyruk uzunluklarında %83, egzoz emisyonlarında ise yaklaşık %23’e varan oranlarda azalma gözlenmiştir.

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Cite This Article

BAYATA, H. F., BAYRAK, O. Ü. (2018). Evaluation of a Newly Planned Intersection with Micro-Simulation. Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 11 - Sayı: 3, 550–559. https://ajindex.com/articles/234452

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References (10)

  1. Alkheder, S. 2017. Learning from the past: traffic safety in the eyes of affected local community in Abu Dhabi City, United Arab Emirates. Transportation Letters, 9(1), 20-38.
  2. Alomari, A. H., Al-Deek, H., Sandt, A., Rogers Jr, J. H.,Hussain, O. 2016. Regional evaluation of bus rapid transit with and without transit signal priority. Transportation Research Record: Journal of the Transportation Research Board(2554), 46-59.
  3. Bartin, B., Mudigonda, S.,Ozbay, K. 2007. Impact of electronic toll collection on air pollution levels: Estimation using microscopic simulation model of large-scale transportation network. Transportation Research Record: Journal of the Transportation Research Board (2011), 68-77.
  4. Bloomberg, L.,Dale, J. 2000. Comparison of VISSIM and CORSIM traffic simulation models on a congested network. Transportation Research Record: Journal of the Transportation Research Board (1727), 52-60.
  5. Esawey, M. E.,Sayed, T. 2011. Unconventional USC intersection corridors: evaluation of potential implementation in Doha, Qatar. Journal of Advanced Transportation, 45(1), 38-53.
  6. Fellendorf, M.,Vortisch, P. (2001). Validation of the microscopic traffic flow model VISSIM in different real-world situations. Paper presented at the Transportation Research Board 80th Annual meeting. Gomes, G., May, A.,Horowitz, R. 2004. Congested freeway microsimulation model using VISSIM. Transportation Research Record: Journal of the Transportation Research Board (1876), 71-81.
  7. Hallmark, S., Fitzsimmons, E., Isebrands, H.,Giese, K. 2010. Roundabouts in signalized corridors: evaluation of traffic flow impacts. Transportation Research Record: Journal of the Transportation Research Board (2182), 139-147.
  8. Heaslip, K., Jain, M.,Elefteriadou, L. 2011. Estimation of arterial work zone capacity using simulation. Transportation Letters, 3(2), 123-134.Karakikes, I., Spangler, M.,Margreiter, M. 2016. Motorway Network Simulation Using Bluetooth Data. Transport and Telecommunication Journal, 17(3), 242-251.
  9. Laufer, J. (2007). Freeway capacity, saturation flow and the car following behavioural algorithm of the VISSIM microsimulation software. Paper presented at the 30th Australasian Transport Research Forum. Lidbe, A. D., Hainen, A. M.,Jones, S. L. 2017. Comparative study of simulated annealing, tabu search, and the genetic algorithm for calibration of the microsimulation model. Simulation, 93(1), 21-33.
  10. Murat, Y. S., Arslan, T., Cakici, Z.,Akçam, C. 2015. Analytical Hierarchy Process (AHP) based De