Corridor capacity analysis with mesoscopic simulation: Erzincan province sample


DEMİRİZ A. O., BAYRAK O. Ü., BAYATA H. F.

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, cilt.46, sa.1, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1007/s12046-020-01533-9
  • Dergi Adı: SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Atatürk Üniversitesi Adresli: Evet

Özet

Today, the existing traffic networks cannot cope-up with the increasing transportation demands and traffic volume and fail to meet the demands. This causes economic and social losses. Increasing transportation demands and traffic volume in Erzincan city center of Turkey cause the main arteries and junctions to be insufficient. In such problems, solutions are generally produced using parameters such as trip and delay durations and exhaust emissions. Another point to be considered is to ensure the improved intersections to work as a whole. In this study, the main arteries and the junctions on these in Erzincan city center were discussed. In this context, totally 14 intersections were tried to be improved. Suggestions were offered regarding delay time, travel time, queue lengths, NOx and CO2 emissions, and average speed values as the design criteria. Simulations were made in AIMSUN program for the current situation and four different scenarios. Analytical Hierarchy Process (AHP), which is one of the multi-criteria decision-making methods for the network was employed to determine which scenario was more appropriate. At the end of the study, decrease of up to 23% for travel time, 47% for delays, 48% for queue lengths, 11% for NOx, and 13% for CO2 and increase of up to 30% in average speed were obtained. According to AHP, Scenario 4 had the highest priority value among all alternatives. Moreover, the reliability of the results was ensured by supporting the mesoscopic simulation with AHP which is a multi-criteria decision-making method.