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Mathematical model of the distribution of cars on the road network according to the first Wardrop principle based on the Greenshields model

https://doi.org/10.52170/1815-9265_2023_67_13

Abstract

The issue of distribution of car flows along the transport network has not lost its relevance in recent decades. Increasing levels of motorization lead to congestion, the different sections of the road network are being filled to varying degrees. The article presents a four-stage model for the formation of traffic flows. Particular attention is paid to the stage of travel route choice. The article provides a review of mathematical models of traffic flow, including 3 types: predictive, simulation and optimization. The model discussed in the article is of the predictive type. The main classical macroscopic models showing the influence of traffic flow intensity on the flow time are shown: Greenshields, Greenberg, BPR. The most famous classic Greenshields model is taken as a basis; it shows that as the density of traffic flow increases, its speed decreases. The principles of Wardrop, which describe the distribution of traffic flow along the road network, are considered. The first Wardrop principle was chosen – the socalled equilibrium distribution of flows, in which each passenger chooses the best one from the available alternatives. Transformations have been made in the Greenshields model: the dependence of speed on the intensity of traffic flow has been replaced by the dependence of travel time on the intensity of traffic flow. A formula has been obtained showing at what intensity of traffic flow vehicles will use a longer road. For two roads, a quadratic equation is obtained that allows one to find the equilibrium distribution of traffic flows. A numerical example is considered showing changes in the behavior of passengers with an increase in the intensity of traffic flow. The prospects for using and generalizing these models are determined.

About the Authors

M. E. Koryagin
Siberian Transport University
Russian Federation

Mark E. Koryagin – Professor of the Higher Mathematics Department, Doctor of Engineering

Novosibirsk



V. I. Medvedev
Siberian Transport University
Russian Federation

Vladimir I. Medvedev – Professor of the Life Safety Department, Doctor of Engineering

Novosibirsk



Yu. V. Shvets
Siberian Transport University; Siberian State University of Water Transport
Russian Federation

Yulia V. Shvets – Associate Professor of the Higher Mathematics Department, 
Associate Professor of the Higher Mathematics and Informatics Department, Candidate of Pedagogical Sciences

Novosibirsk



N. B. Popova
Siberian Transport University
Russian Federation

Natalya B. Popova – Professor of the Transport Economics Department, Doctor of Geographical Sciences

Novosibirsk



References

1. Shvetsov V. I. Mathematical modeling of traffic flows. Automation and remote control. 2003;11:3–46. (In Russ.).

2. Gasnikov A. V., Dorn Yu. V., Nesterov Yu. E., Shpirko S. V. On the three-stage version of stable dynamic model. Mathematical Modelling. 2014;26(6):34–70. (In Russ.).

3. Aliev A. S., Strelnikov A. I., Shvetsov V. I., Shershevskiy Yu. Z. Modeling of the city transport flows as applied to the Moscow agglomeration. Automation and remote control. 2005;11:113–125. (In Russ.).

4. Koryagin M. E., Berezina A. S. Simulation of the route network of a rectangular city with the Manhattan metric . Scientific problems of transport of Siberia and the Far East. 2018;(2):21–25. (In Russ.).

5. Kurganov V. M. Model limits of road traffic optimization. Bulletin of Tver State University. Series: Economy and Management. 2016;(1):213–221. (In Russ.).

6. Gasnikov A. V. [et al.]. Introduction to mathematical modeling of traffic flows. Edited by Gasnikov A. V. Second edition, revised and expanded. Moscow: Publishing house Moscow Centre for Continuous Mathematical Education, 2014. 426 p. (In Russ.).

7. Semyonov V. V. Mathematical modeling of transport streams dynamics of megacities. Moscow: Institute of Applied Mathematics, the Russian Academy of Science; 2004. 44 p. (In Russ.).

8. Li M. Z. F. A generic characterization of equilibrium speed-flow curves. Transportation Science. 2008;42(2):220–235.

9. Greenshields B. D. A study of traffic capacity. Highway Research Board Proceedings. 1935;14(1):448–477.

10. Greenberg H. An analysis of traffic flow. Operations Research. 1959;7(1):79–85.

11. Traffic Assignment Manual. Urban Planning Division. U.S. Department of Commerce. Washington, DC, USA; 1964.

12. Krilatov A. Yu. Optimal strategies for traffic flow management on the transportation network of parallel links. Bulletin of Saint-Petersburg University. Applied Mathematics. Computer Science. Control Processes. 2014;(2):120–129. (In Russ.).

13. Gasnikov A. V., Gasnikova E. V., Dvurechensky P. E., Ershov E. I., Lagunovskaya A. A. Search for the stochastic equilibria in the transport models of equilibrium flow distribution. Proceedings of Moscow Institute of Physics and Technology. 2015;7(28):114–128. (In Russ.).

14. Wardrop J. G. Some theoretical aspects of road traffic research. Proceedings of the Institute of Civil Engineers. 1952;1(3):325–362.

15. Shvetsov V. I. Algorithms for distributing traffic flows. Automation and remote control. 2009;(10):148–157. (In Russ.).

16. Krylatov A. Yu., Shirokolobova A. P. Equilibrium route flow assignment in linear network as a system of linear equations. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes. 2018;(2):103–115. (In Russ.).

17. Baimurzina D. R., Gasnikov A. V., Gasnikova E. V. [et al.]. Universal method of searching for equilibria and stochastic equilibria in transportation networks. Computational Mathematics and Mathematical Physics. 2019;59(1):21–36. (In Russ.).

18. Zakharov V. V., Krylatov A. Yu. Traffic Flow System Equilibrium in Megapolis and the Navigator Strategies: Game Theory Approach. Mathematical Game Theory and its Applications. 2012;4(4):23–44. (In Russ.).

19. Zakharov V. V., Krylatov A. Yu. Competitive green vehicles assignment in transportation network. Managament of large systems. Proceedings. 2015;(55):185–223. (In Russ.).


Review

For citations:


Koryagin M.E., Medvedev V.I., Shvets Yu.V., Popova N.B. Mathematical model of the distribution of cars on the road network according to the first Wardrop principle based on the Greenshields model. Bulletin of Siberian State University of Transport. 2023;(4):13-20. (In Russ.) https://doi.org/10.52170/1815-9265_2023_67_13

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ISSN 1815-9265 (Print)