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Interdisciplinary Evaluation of Intersection Performances—A Microsimulation-Based MCDA

Author

Listed:
  • Kadir Diler Alemdar

    (Department of Civil Engineering, Faculty of Engineering and Architecture, Erzurum Technical University, 25100 Erzurum, Turkey)

  • Ahmet Tortum

    (Department of Civil Engineering, Faculty of Engineering, Atatürk University, 25100 Erzurum, Turkey)

  • Ömer Kaya

    (Department of Civil Engineering, Faculty of Engineering and Architecture, Erzurum Technical University, 25100 Erzurum, Turkey)

  • Ahmet Atalay

    (Department of Civil Engineering, Faculty of Engineering, Atatürk University, 25100 Erzurum, Turkey)

Abstract

Intersections are the most important regions in terms of urban traffic management. The intersection areas on the corridor should be analyzed together for consistency in traffic engineering. To do so, three intersections on the Vatan Street corridor in İstanbul, the most crowded city of Turkey, were examined. Various geometric and signal designs were performed for intersections and the most suitable corridor design was analyzed. The corridor designs were modeled with the PTV VISSIM microsimulation software. The most suitable corridor design was evaluated by using the results obtained from the microsimulation via analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) from multi criteria decision analysis (MCDA) methods. The evaluation criteria in the study are vehicle delay, queue length, stopped delay, stops, travel time, vehicle safety, CO emission, fuel consumption, and construction cost. As a result, the current and the most suitable alternative corridors were compared according to the comparison parameters and up to 80% improvements were observed. Thus, some advantages were obtained in terms of energy, environment, time, and cost.

Suggested Citation

  • Kadir Diler Alemdar & Ahmet Tortum & Ömer Kaya & Ahmet Atalay, 2021. "Interdisciplinary Evaluation of Intersection Performances—A Microsimulation-Based MCDA," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1859-:d:495957
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    1. Mohd Rapik Saat & Jesus Aguilar Serrano, 2015. "Multicriteria high-speed rail route selection: application to Malaysia's high-speed rail corridor prioritization," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(2), pages 200-213, March.
    2. Unutmaz Durmuşoğlu, Zeynep Didem, 2018. "Assessment of techno-entrepreneurship projects by using Analytical Hierarchy Process (AHP)," Technology in Society, Elsevier, vol. 54(C), pages 41-46.
    3. Fangfang Zheng & Henk van Zuylen & Xiaobo Liu, 2017. "A Methodological Framework of Travel Time Distribution Estimation for Urban Signalized Arterial Roads," Transportation Science, INFORMS, vol. 51(3), pages 893-917, August.
    4. Jasmine Siu Lee Lam & Jing Dai, 2012. "A decision support system for port selection," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(4), pages 509-524, January.
    5. Stavri Dimitrov & Avishai (Avi) Ceder & Subeh Chowdhury & Mikaël Monot, 2017. "Modeling the interaction between buses, passengers and cars on a bus route using a multi-agent system," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(5), pages 592-610, July.
    6. Daniel (Jian) Sun & Shukai Chen & Chun Zhang & Suwan Shen, 2016. "A bus route evaluation model based on GIS and super-efficient data envelopment analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(4), pages 407-423, June.
    7. Tzay-An Shiau, 2014. "Evaluating transport infrastructure decisions under uncertainty," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(6), pages 525-538, August.
    8. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    9. F. Golbabaei & F. Moghadas Nejad & A.R. Noory, 2014. "A microscopic analysis of speed deviation impacts on lane-changing behavior," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(4), pages 391-407, June.
    10. Comert, Gurcan, 2013. "Effect of stop line detection in queue length estimation at traffic signals from probe vehicles data," European Journal of Operational Research, Elsevier, vol. 226(1), pages 67-76.
    11. Mohamad Raduan bin Kabit & Phil Charles & Luis Ferreira & Inhi Kim, 2014. "Modelling major traffic incident impacts and estimation of their associated costs," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(4), pages 373-390, June.
    12. Chou, Ying-Chyi & Hsu, Ying-Ying & Yen, Hsin-Yi, 2008. "Human resources for science and technology: Analyzing competitiveness using the analytic hierarchy process," Technology in Society, Elsevier, vol. 30(2), pages 141-153.
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    1. Sherif Shokry & Shinji Tanaka & Amr M. Wahaballa, 2022. "Cost–Benefit Analysis of Unconventional Arterial Intersection Designs: Cairo as a Case Study," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    2. Boriana Vatchova & Yordanka Boneva, 2023. "Design of Fuzzy and Conventional Controllers for Modeling and Simulation of Urban Traffic Light System with Feedback Control," Mathematics, MDPI, vol. 11(2), pages 1-11, January.
    3. Irena Ištoka Otković & Barbara Karleuša & Aleksandra Deluka-Tibljaš & Sanja Šurdonja & Mario Marušić, 2021. "Combining Traffic Microsimulation Modeling and Multi-Criteria Analysis for Sustainable Spatial-Traffic Planning," Land, MDPI, vol. 10(7), pages 1-26, June.

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