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Neural Network Approach to Modelling Transport System Resilience for Major Cities: Case Studies of Lagos and Kano (Nigeria)

Author

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  • Suleiman Hassan Otuoze

    (Department of Civil Engineering, University of Birmingham, Edgbaston B15 2TT, UK
    Department of Civil Engineering, Ahmadu Bello University, Zaria 810107, Nigeria)

  • Dexter V. L. Hunt

    (Department of Civil Engineering, University of Birmingham, Edgbaston B15 2TT, UK)

  • Ian Jefferson

    (Department of Civil Engineering, University of Birmingham, Edgbaston B15 2TT, UK)

Abstract

Congestion has become part of everyday urban life, and resilience is very crucial to traffic vulnerability and sustainable urban mobility. This research employed a neural network as an adaptive artificially-intelligent application to study the complex domains of traffic vulnerability and the resilience of the transport system in Nigerian cities (Kano and Lagos). The input criteria to train and check the models for the neural resilience network are the demographic variables, the geospatial data, traffic parameters, and infrastructure inventories. The training targets were set as congestion elements (traffic volume, saturation degree and congestion indices), which are in line with the relevant design standards obtained from the literature. A multi-layer feed-forward and back-propagation model involving input–output and curve fitting (nftool) in the MATLAB R2019b software wizard was used. Three algorithms—including Levenberg–Marquardt (LM), Bayesian Regularization (BR), and a Scaled Conjugate Gradient (SCG)—were selected for the simulation. LM converged easily with the Mean Squared Error (MSE) (2.675 × 10 −3 ) and regression coefficient (R) (1.0) for the city of Lagos. Furthermore, the LM algorithm provided a better fit for the model training and for the overall validation of the Kano network analysis with MSE (4.424 × 10 −1 ) and R (1.0). The model offers a modern method for the simulation of urban traffic and discrete congestion prediction.

Suggested Citation

  • Suleiman Hassan Otuoze & Dexter V. L. Hunt & Ian Jefferson, 2021. "Neural Network Approach to Modelling Transport System Resilience for Major Cities: Case Studies of Lagos and Kano (Nigeria)," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1371-:d:488806
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    as
    1. Mansouri, Mo & Nilchiani, Roshanak & Mostashari, Ali, 2010. "A policy making framework for resilient port infrastructure systems," Marine Policy, Elsevier, vol. 34(6), pages 1125-1134, November.
    2. Kağan Albayrak, Muhammed Bilge & Özcan, İsmail Çağrı & Can, Raif & Dobruszkes, Frédéric, 2020. "The determinants of air passenger traffic at Turkish airports," Journal of Air Transport Management, Elsevier, vol. 86(C).
    3. Junayed Pasha & Maxim A. Dulebenets & Masoud Kavoosi & Olumide F. Abioye & Oluwatosin Theophilus & Hui Wang & Raphael Kampmann & Weihong Guo, 2020. "Holistic tactical-level planning in liner shipping: an exact optimization approach," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-35, December.
    4. Rusul Abduljabbar & Hussein Dia & Sohani Liyanage & Saeed Asadi Bagloee, 2019. "Applications of Artificial Intelligence in Transport: An Overview," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    5. Chen Liping & Sun Yujun & Sajjad Saeed, 2018. "Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
    6. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
    7. Knoop, Victor L. & van Lint, Hans & Hoogendoorn, Serge P., 2015. "Traffic dynamics: Its impact on the Macroscopic Fundamental Diagram," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 236-250.
    8. Cox, Andrew & Prager, Fynnwin & Rose, Adam, 2011. "Transportation security and the role of resilience: A foundation for operational metrics," Transport Policy, Elsevier, vol. 18(2), pages 307-317, March.
    9. U. Oses & E. Rojí & I. Gurrutxaga & M. Larrauri, 2017. "A multidisciplinary sustainability index to assess transport in urban areas: a case study of Donostia-San Sebastian, Spain," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(11), pages 1891-1922, November.
    10. Zina Boussaada & Octavian Curea & Ahmed Remaci & Haritza Camblong & Najiba Mrabet Bellaaj, 2018. "A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation," Energies, MDPI, vol. 11(3), pages 1-21, March.
    11. Enoch, M.P. & Cross, R. & Potter, N. & Davidson, C. & Taylor, S. & Brown, R. & Huang, H. & Parsons, J. & Tucker, S. & Wynne, E. & Grieg, D. & Campbell, G. & Jackson, A. & Potter, S., 2020. "Future local passenger transport system scenarios and implications for policy and practice," Transport Policy, Elsevier, vol. 90(C), pages 52-67.
    12. Martha Carreño & Omar Cardona & Alex Barbat, 2007. "A disaster risk management performance index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(1), pages 1-20, April.
    13. Tanzina Afrin & Nita Yodo, 2020. "A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System," Sustainability, MDPI, vol. 12(11), pages 1-23, June.
    14. Amirhessam Tahmassebi & Amir H Gandomi & Simon Fong & Anke Meyer-Baese & Simon Y Foo, 2018. "Multi-stage optimization of a deep model: A case study on ground motion modeling," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-23, September.
    15. Nogal, Maria & O'Connor, Alan & Caulfield, Brian & Martinez-Pastor, Beatriz, 2016. "Resilience of traffic networks: From perturbation to recovery via a dynamic restricted equilibrium model," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 84-96.
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