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Current and future trends in vertical transportation

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  • Siikonen, Marja-Liisa

Abstract

In the middle of the 19th century, the invention of a safety device that prevented elevators from falling enabled the construction of tall buildings and skyscrapers. In the middle of the 20th century, control systems started to serve the given calls automatically by relay technology, and later by electro-mechanical systems. In the 1970s-80 s, software-based control systems invaded elevator technology. Passenger service levels improved with the application of mathematical methods such as artificial intelligence. When the old relay boards of the skyscrapers in New York were modernized by software-based group controls, passenger waiting times dropped to less than half. In this millennium, the need to reduce elevator core space has further increased, since a significant number of buildings already exceed 300 m. The challenge in constructing tall buildings is that elevator groups can occupy the rentable area of a building. At the elevator planning stage, elevator core space can be decreased by zoning the building. The latest trends include systems with several elevator cars running in the same shaft. With modern control systems, passenger journey times can be decreased and handling capacity increased. This article deals with mathematical methods used in elevator dispatching problems. Building traffic simulation is utilized to search for an elevator arrangement that saves the most space in an example building. The design criteria of the ISO 8100–32 standard are used in selecting the elevator arrangements.

Suggested Citation

  • Siikonen, Marja-Liisa, 2024. "Current and future trends in vertical transportation," European Journal of Operational Research, Elsevier, vol. 319(2), pages 361-372.
  • Handle: RePEc:eee:ejores:v:319:y:2024:i:2:p:361-372
    DOI: 10.1016/j.ejor.2024.05.016
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    References listed on IDEAS

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    1. Mirko Ruokokoski & Harri Ehtamo & Panos M. Pardalos, 2015. "Elevator dispatching problem: a mixed integer linear programming formulation and polyhedral results," Journal of Combinatorial Optimization, Springer, vol. 29(4), pages 750-780, May.
    2. Ruokokoski, Mirko & Sorsa, Janne & Siikonen, Marja-Liisa & Ehtamo, Harri, 2016. "Assignment formulation for the Elevator Dispatching Problem with destination control and its performance analysis," European Journal of Operational Research, Elsevier, vol. 252(2), pages 397-406.
    3. Bruce A. Powell, 1971. "Optimal Elevator Banking Under Heavy Up-Traffic," Transportation Science, INFORMS, vol. 5(2), pages 109-121, May.
    4. Janne Sorsa, 2019. "Real-time algorithms for the bilevel double-deck elevator dispatching problem," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 7(1), pages 79-122, March.
    5. Siikonen, Marja-Liisa, 1997. "Customer service in an elevator system during up-peak," Transportation Research Part B: Methodological, Elsevier, vol. 31(2), pages 127-139, April.
    6. Tervonen, Tommi & Hakonen, Henri & Lahdelma, Risto, 2008. "Elevator planning with stochastic multicriteria acceptability analysis," Omega, Elsevier, vol. 36(3), pages 352-362, June.
    7. Tyni, Tapio & Ylinen, Jari, 2006. "Evolutionary bi-objective optimisation in the elevator car routing problem," European Journal of Operational Research, Elsevier, vol. 169(3), pages 960-977, March.
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