The Determination of Convenient Junction Type Utilizing from Estimated Traffic Data with AHP Method


Abret N. E., BAYRAK O. Ü.

IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, cilt.46, sa.1, ss.507-521, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s40996-021-00612-z
  • Dergi Adı: IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aerospace Database, Agricultural & Environmental Science Database, CAB Abstracts, INSPEC, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.507-521
  • Anahtar Kelimeler: Traffic management, Transport management, Statistical analysis, AHP method
  • Atatürk Üniversitesi Adresli: Evet

Özet

The increase in the amount of traffic brings about the insufficiency of current roads. The improvements should be done improving the current roads rather than building new ones. In order to improve the performance of a junction, the traffic volume, which is going to arise in the future, has to be taken into consideration, as well. This paper investigated the determination of convenient junction design type utilizing from estimated traffic data with microsimulation and AHP method. Primarily, the traffic volumes that would emerge after 20 years were estimated with origin-destination method. Traffic safety as an intangible parameter is an important factor for junction design. Since it is an intangible parameter, its effect was determined through engineering judgment using analytical hierarchy process (AHP) which was one of the multi-criteria decision methods. In order to determine the most appropriate junction type, the proposed scenarios were compared with the existing condition using both microsimulation and AHP method. The results demonstrated that Scenario 1 (all junctions are roundabouts) was the most convenient junction design type in terms of fuel consumption average delay, travel time, exhaust emissions such as carbon monoxide and NOx, and traffic safety.