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JOURNALS // Computer Research and Modeling // Archive

Computer Research and Modeling, 2021 Volume 13, Issue 2, Pages 381–394 (Mi crm889)

SPECIAL ISSUE
MODELING OF TRAFFIC IN INTELLIGENT TRANSPORTATION SYSTEMS

Specifics of public transport routing in cities of different types

I. V. Makarova, K. A. Shubenkova, V. G. Mavrin, A. D. Boyko

Kazan Federal University, 10a Syuyumbike prosp., Naberezhnye Chelny, 423812, Russia

Abstract: This article presents a classification of cities, taking into account their spatial planning and possible transport solutions for cities of various types. It also discusses examples of various strategies for the development of urban public transport in Russia and the European Union with a comparison of their efficiency. The article gives examples of the impact of urban planning on mobility of citizens. To implement complex strategic decisions, it is necessary to use micro and macro models which allow a comparison of situations “as is” and “as to be” to predict consequences. In addition, the authors propose a methodology to improve public transport route network and road network, which includes determining population needs in working and educational correspondences, identifying bottlenecks in the road network, developing simulation models and developing recommendations based on the simulation results, as well as the calculation of efficiency, including the calculation of a positive social effect, economic efficiency, environmental friendliness and sustainability of the urban transport system. To prove the suggested methodology, the macro and micro models of the city under study were built taking into account the spatial planning and other specifics of the city. Thus, the case study of the city of Naberezhnye Chelny shows that the use of our methodology can help to improve the situation on the roads by optimizing the bus route network and the road infrastructure. The results showed that by implementing the proposed solutions one can decrease the amount of transport load on the bottlenecks, the number of overlapping bus routes and the traffic density.

Keywords: sustainable transport, transport system's efficiency, route network, public transport.

UDC: 656.121

Received: 14.09.2020
Revised: 19.01.2021
Accepted: 21.01.2021

Language: English

DOI: 10.20537/2076-7633-2021-13-2-381-394



© Steklov Math. Inst. of RAS, 2024