Fuzzy algorithms applied to the comparative evaluation of crossroad designs
Abstract
Introduction/purpose: Urban traffic crossroads represent highly complex nodes within transportation networks due to the convergence of multiple, often conflicting, traffic streams. Managing these competing flows poses significant challenges, leading to issues such as fluctuating delays and backflow, particularly at supersaturated intersections. Given that these crossroads frequently act as bottlenecks, accurate short-term traffic flow predictions are crucial for effective planning and congestion mitigation. This study aims to propose a robust, multi-criteria evaluation framework for crossroad design to support optimized urban planning and traffic management.
Methods: To address the inherent complexities and uncertainties associated with evaluating such designs, this research employs the Fuzzy Analytic Hierarchy Process (FAHP). This method is particularly suited for contexts in which expert judgments, often involving qualitative criteria such as landscape integration and local economic impact, lack absolute precision. Our approach integrates fuzzy logic to manage the subjective and imprecise nature of these evaluations, alongside quantitative factors such as cost and traffic saturation. Based on an extensive literature review and established disciplinary standards in traffic engineering and urban planning, we developed a comprehensive grid of 32 criteria and sub-criteria. These criteria cover key aspects such as road safety, service level, and traffic flow. Experts then assign weights to these criteria, which are processed through FAHP to produce a global performance indicator. This indicator allows the ranking and comparison of different alternative designs.
Results: The application of this FAHP-based framework yields a global performance indicator that facilitates the objective ranking of alternative crossroad designs. The methodology provides a structured approach to balance multiple, often conflicting, criteria in complex decision environments. The practical relevance of this method is demonstrated through a case study of the Chettia junction, where it successfully identifies the optimal configuration among several proposed alternatives. This underscores FAHP's versatility in evaluating performance within intricate urban systems.
Conclusion: This study successfully situates FAHP within a broader Multi-Criteria Decision Analysis (MCDA) framework, offering an original application to crossroad design. By integrating fuzzy logic, it effectively manages the uncertainty associated with both qualitative and quantitative evaluation criteria, proving particularly valuable when precise expert judgments are diffucult for experts to provide. The proposed framework provides a robust and multidimensional evaluation tool for urban planners and traffic engineers, enabling more informed and optimized infrastructure decisions for complex urban intersections.
References
Abdullah, M.S. & Asmael, B.M. 2023. Application of AHP to prioritize urban road scenarios in Baghdad. Journal of Engineering and Sustainable Development, 27(1), pp.15–24.
Bandyopadhyay, S. (2021). A novel Multi-Criteria decision analysis technique incorporating demanding essential characteristics of existing MCDA techniques. Research Square. https://doi.org/10.21203/rs.3.rs-1163422/v1
Barić, D. & Starčević, D. 2015. Strategic planning of road infrastructure using multi-criteria analysis. Promet – Traffic & Transportation, 27(1), pp.37–45. Available at: https://doi.org/10.7307/ptt.v27i1.1514.
Barić, D., Pilko, H. & Dragčević, V. 2007. The use of multi-criteria decision-making methods in traffic infrastructure investment planning. Promet – Traffic & Transportation, 19(5), pp.305–311.
Barić, D., Pilko, H. & Županović, D. 2016. Application of the AHP method in traffic planning for the purpose of comparing road design alternatives. Tehnički vjesnik – Technical Gazette, 23(6), pp.1717–1723. Available at: https://doi.org/10.17559/TV-20140716141532.
Chamoli, S. (2015). Hybrid FAHP (fuzzy analytical hierarchy process)-FTOPSIS (fuzzy technique for order preference by similarity of an ideal solution) approach for performance evaluation of the V down perforated baffle roughened rectangular channel. Energy, 84, pp.432–442. https://doi.org/10.1016/j.energy.2015.03.007
Chan, H.K., Sun, X. and Chung, S. (2019). When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process? Decision Support Systems, 125, p.113114. https://doi.org/10.1016/j.dss.2019.113114
Cowan, R. (1987). An extension of Tanner's results on uncontrolled intersections. Queueing Systems.
Dean, M. (2020). Multi-criteria analysis. In: Advances in Transport Policy and Planning, pp.165–224. https://doi.org/10.1016/bs.atpp.2020.07.001
Dean, M. (2021). Participatory multi-criteria analysis methods: Comprehensive, inclusive, transparent and user-friendly? An application to the case of the London Gateway Port. Research in Transportation Economics, 88, p.100887. https://doi.org/10.1016/j.retrec.2020.100887
Dean, M., Hickman, R. and Chen, C. (2018). Testing the application of participatory MCA: The case of the South Fylde Line. Transport Policy, 73, pp.62–70. https://doi.org/10.1016/j.tranpol.2018.10.007
Gühnemann, A., Laird, J.J. and Pearman, A.D. (2012). Combining cost-benefit and multi-criteria analysis to prioritise a national road infrastructure programme. Transport Policy, 23, pp.15–24. https://doi.org/10.1016/j.tranpol.2012.05.005
Guler, S.I. and Menendez, M. (2016). Methodology for estimating capacity and vehicle delays at unsignalized multimodal intersections. International Journal of Transportation Science and Technology, 5(4), pp.257–267. https://doi.org/10.1016/j.ijtst.2017.03.002
Ha, Q.M., Fugate, B.S. & Kazemi, H. 2015. Supplier selection using Fuzzy AHP and Fuzzy TOPSIS: A case study in supply chain management. International Journal of Advanced Manufacturing Technology, 76(1–4), pp.432–442. Available at: https://doi.org/10.1007/s00170-014-6265-3.
Henke, I., Cartenì, A. and Di Francesco, L. (2020). A Sustainable Evaluation Processes for Investments in the Transport Sector: A Combined Multi-Criteria and Cost–Benefit Analysis for a New Highway in Italy. Sustainability, 12(23), p.9854. https://doi.org/10.3390/su12239854
Hickman, R. and Dean, M. (2017). Incomplete cost – incomplete benefit analysis in transport appraisal. Transport Reviews, 38(6), pp.689–709. https://doi.org/10.1080/01441647.2017.1407377
Lallam, M. and Mammeri, A. (2023). Fuzzy analytical hierarchy damage assessment in old reinforced concrete buildings: case study. Section Building Structures & Structural Mechanics, 23(2), pp.20–26. https://doi.org/10.35181/tces-2023-0010
Lallam, M., Djebli, A. and Mammeri, A. (2023). Fuzzy Analytical hierarchy process for assessing damage in old masonry buildings: a case study. International Journal of Architectural Heritage, pp.1–20. https://doi.org/10.1080/15583058.2023.2295885
Lallam, M., Mammeri, A. and Djebli, A. (2021). Fuzzy analytical hierarchy processes for damage state assessment of arch masonry bridge. Civil Engineering Journal, 7(11), pp.1933–1946. https://doi.org/10.28991/cej-2021-03091770
Liu, Y. and Wu, Y. (2009). Research on Traffic Capacity Impairment Mechanism of Supersaturated Complex Intersections & Fluctuation Pattern of Travel Delay. In: ICICTA '09: Proceedings of the 2009 Second International Conference on Intelligent Computation Technology and Automation. IEEE Computer Society, USA, 3, pp.728–731. https://doi.org/10.1109/ICICTA.2009.641
Liu, Y., Eckert, C.M. and Earl, C. (2020). A review of fuzzy AHP methods for decision-making with subjective judgements. Expert Systems With Applications, 161, p.113738. https://doi.org/10.1016/j.eswa.2020.113738
Otković, I.I., Karleuša, B., Deluka-Tibljaš, A., Šurdonja, S. and Marušić, M. (2021). Combining traffic microsimulation modeling and Multi-Criteria analysis for sustainable Spatial-Traffic planning. Land, 10(7), p.666. https://doi.org/10.3390/land10070666
Qu, W., Li, J., Yang, L., Li, D., Liu, S., Zhao, Q. and Qi, Y. (2020). Short-Term intersection traffic flow forecasting. Sustainability, 12(19), p.8158. https://doi.org/10.3390/su12198158
Ren, J., Manzardo, A., Toniolo, S. & Scipioni, A. 2019. Sustainability evaluation of urban energy systems: A novel hybrid multi-criteria decision-making approach. Renewable and Sustainable Energy Reviews, 112, pp.117–129. Available at: https://doi.org/10.1016/j.rser.2019.05.041.
Sari, F. and Şen, M. (2021). Highway route planning via least cost path algorithm and multi criteria decision analysis integration, a comparison of AHP, TOPSIS and VIKOR. International Journal of Environment and Geoinformatics, 9(2), pp.27–38. https://doi.org/10.30897/ijegeo.900200
Singh, M.P., Singh, P. and Singh, P. (2024). Multi-criteria decision analysis for route alignment planning using Geographical Information System (GIS) and Analytical Hierarchy Process (AHP). Chinese Journal of Urban and Environmental Studies, 12(01). https://doi.org/10.1142/s2345748124500064
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