Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach

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  • Additional Information
    • Affiliation:
      a Civil Engineering Department, Assiut University, Assiut, Egypt
      b Department of Civil and Environmental Engineering, College of Engineering, Majmaah University, Al-Majmaah, Saudi Arabia
      c Faculty of Engineering, Assiut University, Assiut, Egypt
    • Keywords:
      Meta-heuristics
      Multi-objective
      Traffic sensors' location
      Pareto optimal
    • Abstract:
      Highlights •A novel formulation for the traffic sensors location problem for O/D estimation.•General and adaptable multi-objective meta-heuristics algorithm for real size networks.•The methodology is statistically verified.
    • ISSN:
      2214-7160
    • Accession Number:
      10.1016/j.orp.2019.100100
    • Accession Number:
      S2214716018302380
    • Copyright:
      © 2019 The Authors. Published by Elsevier Ltd.
  • Citations
    • ABNT:
      OWAIS, M.; MOUSSA, G. S.; HUSSAIN, K. F. Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach. Operations Research Perspectives, [s. l.], v. 6, 2019. Disponível em: . Acesso em: 22 out. 2019.
    • AMA:
      Owais M, Moussa GS, Hussain KF. Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach. Operations Research Perspectives. 2019;6. doi:10.1016/j.orp.2019.100100.
    • APA:
      Owais, M., Moussa, G. S., & Hussain, K. F. (2019). Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach. Operations Research Perspectives, 6. https://doi.org/10.1016/j.orp.2019.100100
    • Chicago/Turabian: Author-Date:
      Owais, Mahmoud, Ghada S. Moussa, and Khaled F. Hussain. 2019. “Sensor Location Model for O/D Estimation: Multi-Criteria Meta-Heuristics Approach.” Operations Research Perspectives 6 (January). doi:10.1016/j.orp.2019.100100.
    • Harvard:
      Owais, M., Moussa, G. S. and Hussain, K. F. (2019) ‘Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach’, Operations Research Perspectives, 6. doi: 10.1016/j.orp.2019.100100.
    • Harvard: Australian:
      Owais, M, Moussa, GS & Hussain, KF 2019, ‘Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach’, Operations Research Perspectives, vol. 6, viewed 22 October 2019, .
    • MLA:
      Owais, Mahmoud, et al. “Sensor Location Model for O/D Estimation: Multi-Criteria Meta-Heuristics Approach.” Operations Research Perspectives, vol. 6, Jan. 2019. EBSCOhost, doi:10.1016/j.orp.2019.100100.
    • Chicago/Turabian: Humanities:
      Owais, Mahmoud, Ghada S. Moussa, and Khaled F. Hussain. “Sensor Location Model for O/D Estimation: Multi-Criteria Meta-Heuristics Approach.” Operations Research Perspectives 6 (January 1, 2019). doi:10.1016/j.orp.2019.100100.
    • Vancouver/ICMJE:
      Owais M, Moussa GS, Hussain KF. Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach. Operations Research Perspectives [Internet]. 2019 Jan 1 [cited 2019 Oct 22];6. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edselp&AN=S2214716018302380&custid=s8280428