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Impact of Next-Nearest Leading Vehicles on Followers’ Driving Behaviours in Mixed Traffic

  • Akihito NagahamaEmail author
  • Daichi Yanagisawa
  • Katsuhiro Nishinari
Conference paper

Abstract

The number of vehicles on the road is increasing across all vehicle types, especially in developing countries. The rise of heterogeneity in traffic causes greater mixed traffic congestion. This study focuses on the impact of next-nearest leading vehicles on the driving of following drivers in mixed traffic. Although previous studies reported that traffic stability can be improved with the introduction of followers’ anticipatory driving that references multiple leaders, these works did not consider whether anticipatory driving occurred in mixed traffic. Using data collected in experiments with groups of two and three vehicles, we found that the operational delay and the maximum acceleration and deceleration of the followers were affected by the presence of next-nearest leaders. In addition, we also found that the height of the next-nearest leading vehicles affected followers’ deceleration. These findings imply that model parameters for determining the deceleration of following vehicles should take the height of the next-nearest leading vehicle into account.

Notes

Acknowledgements

This work was supported by JSPS KAKENHI Grant Numbers 25287026 and 15K17583.

References

  1. 1.
    Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Selected Papers of Hirotugu Akaike, pp. 199–213. Springer, New York (1998)Google Scholar
  2. 2.
    Burnham, K.P., Anderson, D.R.: Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. Springer, New York (2003)zbMATHGoogle Scholar
  3. 3.
    Ge, H., Dai, S., Dong, L., Xue, Y.: Stabilization effect of traffic flow in an extended car-following model based on an intelligent transportation system application. Phys. Rev. E 70(6), 066134 (2004)CrossRefGoogle Scholar
  4. 4.
    Helbing, D., Hennecke, A., Shvetsov, V., Treiber, M.: Master: macroscopic traffic simulation based on a gas-kinetic, non-local traffic model. Transp. Res. B Methodol. 35(2), 183–211 (2001)CrossRefGoogle Scholar
  5. 5.
    Herman, R., Rothery, R.W.: Car following and steady state flow. In: Proceedings of the Second International Symposium on the Theory of Road Traffic Flow London 1963, pp. 1–11. Organisation for Economic Co-operation and Development, Paris (1965)Google Scholar
  6. 6.
    Hsu, T.P., Sadullah, A.F.M., Dao, N.X.: A comparison study on motorcycle traffic development in some Asian countries–case of Taiwan, Malaysia and Vietnam. In: The Eastern Asia Society for Transportation Studies (EASTS), International Cooperative Research Activity, Washington (2003)Google Scholar
  7. 7.
    Nagahama, A., Yanagisawa, D., Nishinari, K.: Dependence of driving characteristics upon follower–leader combination. Physica A 483, 503–516 (2017)CrossRefGoogle Scholar
  8. 8.
    Wagenmakers, E.J., Farrell, S.: AIC model selection using Akaike weights. Psychon. Bull. Rev. 11(1), 192–196 (2004)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Akihito Nagahama
    • 1
    Email author
  • Daichi Yanagisawa
    • 2
  • Katsuhiro Nishinari
    • 2
  1. 1.Department of Advanced Interdisciplinary Studies, Graduate School of EngineeringThe University of TokyoTokyoJapan
  2. 2.Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan

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