Mathematical model of passenger elevator operation to determine transportation comfort indicators
Abstract
The article formalizes the process of movement of an elevator car for a particular case in a building with one elevator, which can be used to create algorithms for controlling a group of elevators for high-rise buildings. A mathematical model has been developed, and the results of calculations and simulation modeling of elevator car waiting time are presented. Probabilistic characteristics have been obtained to assess the degree of comfort of passenger service.
About the Authors
S. S. LyzlovRussian Federation
Associate Professor of the Department of Management and Information Security
S. S. Uvarov
Russian Federation
Ph.D., Associate Professor of the Department of Information Management and Security
M. V. Katina
Russian Federation
Senior lecturer at the Department of Information Management and Security
D. I. Orlova
Russian Federation
Programmer, joint-stock company
References
1. Zilbertal, A.Kh. Tram management (a guide for tram workers and students). Part 1. - M. - L.: Gotransizdat, 1932. - p. 304 – Text: direct.
2. Blinkin M.Ya. Modified Silbertal scheme: analysis, generalization, application / M.Ya. Blinkin, G.A. Gurevich // Improving the transportation of passengers by road: collection of articles. tr. NIIAT. – 1981. - No.5. – P. 16-32.
3. Estimation of waiting time for various methods of organizing the movement of vehicles on the route / P.F. Gorbachev, O.V. Makarichev, V.M. Chizhik – Text: direct // Automobile transport, - 2013. issue. 33 – pp. 82-86.
4. “Current directions of scientific research of the XXI century: Theory and practice”: Collection of scientific papers based on the materials of the international correspondence scientific and practical conference 2014 No. 4 part 1 (9-1) / Chizhik V. M. Calculation of the waiting time of passengers with uneven dynamics of urban transport.
Review
For citations:
Lyzlov S.S., Uvarov S.S., Katina M.V., Orlova D.I. Mathematical model of passenger elevator operation to determine transportation comfort indicators. Logistics and Supply Chain Management. 2024;21(1):36-51. (In Russ.)