Top.Mail.Ru
Preview

UPRAVLENIE / MANAGEMENT (Russia)

Advanced search

Models of distribution of public transport correspondence

https://doi.org/10.26425/2309-3633-2020-8-4-79-85

Abstract

The subject of this research is the theory of traffic flow modeling and modern transport infrastructure in cities and regions. The article discusses the classification and application of various models of correspondence on public transport routes – network, route, and multimodal.
The paper carries out a comparative analysis of two route models: 1) based on the intervals, where input information about each route is limited to its tracking by the transport network graph, the sequence of stops, the times of movement between stops and the frequencies of movement of vehicles; 2) based on schedules, that use detailed information about the schedules of vehicles along routes (arrival time and departure time for each stop). The study concludes that in models based on schedules, it is possible to define not behaviour strategies, as in the case of models based on intervals, but specific paths for each correspondence. As a result of the analysis of multimodal models of organization of transport flows, the author came to the conclusion that the most popular at present are models of distribution of correspondence along multimodal routes.

About the Author

T. N. Sakulyeva
State University of Management
Russian Federation

Tatyana N. Sakulyeva - Cand. Sci. (Econ.), Assoc. Prof.

99, Ryazanskii pr., Moscow, 109542



References

1. Bairoch P. and Goertz G. (1986), “Factors of urbanisation in the nineteenth century developed countries: a descriptive and econometric analysis”, Urban Studies, vol. 23, no. 4, pp. 285–305. DOI: 10.1080/00420988620080351.

2. Gentile G. (2016), “Solving a dynamic user equilibrium model based on splitting rates with gradient algorithms”, Transportation Research Part B: Methodological, vol. 92, issue PB, pp. 120–147. DOI: 10.1016/j.trb.2016.02.005.

3. Hensher D.A. (2016), Future bus transport contracts under mobility as a service regime in the digital age: are they likely to change? Sydney, Australia.

4. Sakulyeva T. (2018), “Megapolis public transport system”, International Journal of Civil Engineering and Technology, vol. 9, issue 10, pp. 647–658.

5. Szeto W.Y. and Lo H.K. (2004), “A cell-based simultaneous route and departure time choice model with elastic demand”, Transportation Research Part B: Methodological, vol. 38, no. 7, pp. 593–612.


Review

For citations:


Sakulyeva T.N. Models of distribution of public transport correspondence. UPRAVLENIE / MANAGEMENT (Russia). 2020;8(4):79-85. (In Russ.) https://doi.org/10.26425/2309-3633-2020-8-4-79-85

Views: 538


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2309-3633 (Print)
ISSN 2713-1645 (Online)