Method for extrapolation of passenger flows by geolocation of mobile devices in urban passenger transport
https://doi.org/10.52170/1815-9265_2023_65_29
Abstract
In large cities and agglomerations, the transition from personal to public transport for work and household trips is an important task. Thus, a huge number of private cars creates a large and ever-increasing load on the city's road network, negatively affects the environment, including due to exhaust gas emissions, noise pollution, as well as related harmful processes during vehicle maintenance. To provide a worthy alternative to personal transport, it is required to monitor the current congestion of public city routes and, on the basis of this, form reserves of their capacity. This paper discusses a method for determining passenger flows on urban routes by geolocation of mobile devices in the nearest passenger generating points with reference to the time of day and day of the week. Such an approach can be promising not only for determining the total volume of traffic performed by the rolling stock of urban transport, but also for determining the occupancy of the vehicle, and as a result, for calculating the average passenger travel distance. In this regard, a second method is proposed, consisting of a number of formulas have been proposed that allow determining the coefficient of uniqueness of passengers on a route, taking into account the time of day and the seasonality of demand for urban transportation, followed by calculating the travel distance of a unique passenger, which, ultimately, allows a more detailed representation of the population's needs for transportation, as well as weak places in the urban transport infrastructure. The proposed methods are universal and can be used both for buses and trolleybuses, as well as for trams and even the metro. Also, the first method can be used as a tool for research and management of human flows in the urban environment (pedestrian flows).
About the Authors
A. G. Matveev
Saint Petersburg Mining University
Russian Federation
Russian Federation
Alexander G. Matveev – Senior Student of the Mechanical Engineering Faculty
Saint Petersburg
T. A. Menukhova
Saint Petersburg Mining University
Russian Federation
Russian Federation
Tatiana A. Menukhova – Associate Professor of the Transport Technological Processes and Machines Department, Candidate of Engineering
Saint Petersburg
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Review
For citations:
Matveev A.G., Menukhova T.A. Method for extrapolation of passenger flows by geolocation of mobile devices in urban passenger transport. Bulletin of Siberian State University of Transport. 2023;(2):29-39. (In Russ.) https://doi.org/10.52170/1815-9265_2023_65_29
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