Analytical calculations in comparison with simulation modeling of transport systems
Abstract
Research has been carried out to compare the results of analytical calculations and simulation modeling of transport systems. Data were obtained showing that the modeling produces results that more accurately describe the real transport system, and, therefore, allow a more informed decision to be made about options for modernizing the public transport system. Using the example of the organization of bus routes in the central region of Yangon, the prospects of replacing the direct radial traffic scheme with an option with transfers on the circle line are shown. Such a solution will not only reduce the waiting time for passengers, but will also improve the transport situation in the historical center of the city, where the use of other options is extremely limited. When conducting research, a hybrid model was used, created in the Anylogic environment and combining agent-based and discrete-event approaches, as well as tools for working with GIS maps.
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Lu. Y. Zhuang. Study on the methods of urban passenger traffic demand corridors // Journal of Shenzhen University Science and Engineering, 22(1), 2005
William L.Garrison., David M.Levinson. The Transportation Experience – Policy, Planning and Deployment. – Oxford University Press, 2006, p. 470
Golovnin O. K., Sidorov A. V.., Mihajlov D. A.. Podderzhka prinjatija reshenij avtomaticheskoj dislokacii geoob"ektov transportnoj infrastruktury // Izvestija Samarskogo nauchnogo centra RAN, 2014, #4-2, S. 413– 418
Aliev A. S., Strel'nikov A. I., Shvecov V. I., Shershevskij Ju. Z. Modelirovanie transportnyh potokov v krupnom gorode s primeneniem k moskovskoj aglomeracii // Avtomatika i telemehanika, 2005, vypusk 11, S. 113–125
Sergey Lupin, Than Shein, Kyaw Kyaw Lin, Anastasia Davydova. Modelling of the Transport Systems in a Competitive Environment. // Proceedings of the Fifth International Conference on Internet Technologies and Applications (ITA 13), Glyndwr University, Wrexham, North Wales, UK, 10-13 September 2013, pp.41-48
Borshchev A. The Big Book of Simulation Modeling. Multimethod Modeling with AnyLogic 6 // AnyLogic North America, 2013, p. 614
Liao S., Dai J. Study on complex adaptive system and
Agent-Based modeling & simulation // Journal of System Simulation, 2004, vol.16(1), pp. 113-117
Woodhouse S., Lovett A., Dolman P., Fuller R. Using a GIS to select priority areas for conservation // Computers, Environment and Urban Systems, Mar-2000, vol.24, pp. 79-93
Alexandris G., Giannikos I. A new model for maximal coverage exploiting GIS capabilities // European Journal of Operational Research, 2010, vol.202, pp. 328–338
T. M. Oo., Sergey Lupin., M. T. Khaing., A. Thu. Using Hybrid Modeling for Estimation of the Efficiency of Service Systems // 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), St. Petersburg, Moscow, Russia, 2021, pp. 2277-2280, doi: 10.1109/ElConRus51938.2021.9396596
Ceder A., Golany B., Tal O. Creating bus timetables with maximal synchronization // Transport Research, Part A, 35, 2001, pp. 913-928
Zidi S., Maouche S., Hammadi S. Real-time route planning of the public transportation system // Proceedings of the IEEE Intelligent Transportation Systems Conference, Toronto, Canada, 2006, pp. 55-60
Barthholdi John J., Eisensteing Donald D. A self-coordinating bus route to resist bus bunching // Transport Research, Part B, 2012, pp. 1-26
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