Decentralized Control for Self-driving Cars That can Freely Move on Two-dimensional Plane

Authors

  • Takeshi Kano Research Institute of Electrical Communication, Tohoku University, Sendai, Japan
  • Mayuko Iwamoto Interdisciplinary Faculty of Science and Engineering, Shimane University, Matsue, Japan
  • Daishin Ueyama Faculty of Engineering, Musashino University, Tokyo, Japan

DOI:

https://doi.org/10.17815/CD.2020.103

Keywords:

decentralized control, self-driving cars, social force model, pedestrian flow

Abstract

In the current traffic rules, cars have to move along lanes and to stop at red traffic lights. However, in the future when all cars become completely driverless, these traffic rules may vanish and cars may be allowed to move freely on two-dimensional plane by avoiding others like pedestrian flow. This innovation could greatly reduce traffic jams. In this study, we propose a decentralized control scheme for future self-driving cars that can freely move on two-dimensional plane, based on the social force model widely used as the model of pedestrian flow. The performance of the proposed scheme is validated via simulation. Although this study is still conceptual and does not consider realistic details, we believe that it paves the way to developing novel traffic systems.

References

D. Helbing and P. Molnár, “Social force model for pedestrian dynamics”, Phys. Rev. E, vol. 51, pp. 4282-4286, 1995.

D. Helbing, “Traffic and related self-driven many-particle systems”, Rev. Mod. Phys., vol. 73, pp.

-1141, 2001.

T. Kano, Y. Sugiyama, and A. Ishiguro, “Autonomous decentralized control of traffic signals that can

adapt to changes in traffic”, Collective Dynamics, vol. 1, A5, pp. 1-18, 2016.

Downloads

Published

12.08.2020

How to Cite

Kano, T., Iwamoto, M., & Ueyama, D. (2020). Decentralized Control for Self-driving Cars That can Freely Move on Two-dimensional Plane. Collective Dynamics, 5, 474–476. https://doi.org/10.17815/CD.2020.103

Issue

Section

Proceedings of Pedestrian and Evacuation Dynamics 2018