Multi-objective Parking Optimization

Multi-Objective Parking Optimization is a computational framework in transportation planning that simultaneously optimizes multiple conflicting objectives—such as minimizing walking distance, maximizing space utilization, and reducing search time—within parking allocation systems, distinguishing itself from single-objective approaches by integrating trade-off analysis and Pareto efficiency into decision-making processes.

14

Publications

767

Citations

53

Authors

27

Institutions

Publications per year

2017–2026

10

Authors

53

  1. SN
    Sayyad Nojavan

    University of Tabriz, Iran

    2 publications · 65 citations

    2

    h-index

  2. KJ
    Kittisak Jermsittiparsert

    Ton Duc Thang University, Vietnam

    1 publications · 24 citations

    1

    h-index

  3. AE
    Ahmed Elsayed

    Florida International University, United States

    1 publications · 13 citations

    1

    h-index

  4. MA
    Mouna Ayari

    Sorbonne Université, France

    1 publications · 36 citations

    1

    h-index

  5. AK
    Alois Knoll

    Technical University of Munich, Germany

    1 publications · 60 citations

    1

    h-index

1–5 of 53

Venues

  1. IEEE Access

    2 publications · 89 citations

    2

    h-index

  2. Energy

    1 publications · 24 citations

    1

    h-index

  3. Journal of Transport Geography

    1 publications · 22 citations

    1

    h-index

  4. 1

    h-index

  5. Soft Computing

    1 publications · 32 citations

    1

    h-index

1–5