CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
ANALYSIS OF THE DEVELOPMENT OF HYBRID MODELS OF TRANSPORT SYSTEMS
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Read | Kurochkin Leonid M., Chernyshev Alexander S., Kurochkin Mikhail A., Chuvatov Mikhail V. ANALYSIS OF THE DEVELOPMENT OF HYBRID MODELS OF TRANSPORT SYSTEMS // Caspian journal : management and high technologies. — 2019. — №4. — pp. 99-109. |
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Kurochkin Leonid M. - Ph.D., Peter the Great St. Petersburg Polytechnic University, 29 Politeknicheskaya St., St. Petersburg, 195251, Russian Federation, kurochkinl@gmail.com
Chernyshev Alexander S. - Researcher, Institute of Physics and Technology named after A.F. Ioffe, 26 Politeknicheskaya St., St. Petersburg, 194021, Russian Federation, alexander.tchernyshev@mail.ioffe.ru
Kurochkin Mikhail A. - Cand. Sci. (Engineering), Associate Professor, Peter the Great St. Petersburg Polytechnic University, 29 Politeknicheskaya St., St. Petersburg, 195251, Russian Federation, kurochkin.m@gmail.com
Chuvatov Mikhail V. - Leading Programmer, Peter the Great St. Petersburg Polytechnic University, 29 Politeknicheskaya St., St. Petersburg, 195251, Russian Federation, irongate@yandex.ru
The need to improve road safety, ensure monitoring of transport, manage its routing requires the rapid development of intelligent transport networks. The main tool used in the design of intelligent transport networks is computer simulation. Existing transport system models often offer a compromise between modeling accuracy and model runtime due to the use of the transport system representation only at the micro or macro level. At the moment, hybrid solutions of transport network models that allow modeling of traffic flows at the micro and macro levels and carry out an operational transition between them are not presented. In this paper, the rationale for the development of a hybrid model is justified, an approach is proposed that provides a transition between micro and macro levels of transport network models. The proposed solution is implemented using the SUMO macroscopic transport network simulator and the original continuum model of traffic flows. The developed approach can significantly reduce the modeling time of traffic flows of large cities without compromising accuracy.
Key words: гибридная модель транспортной сети, континуальная модель транспортного потока, микро- и макромодели транспортных сетей, критерии перехода между микро- и макромоделями, SUMO, интеллектуальные транспортные системы, transport network hybrid model, a continuo