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

In: Traffic and Granular Flow '17

Author

Listed:
  • Akihito Nagahama

    (The University of Tokyo, Department of Advanced Interdisciplinary Studies, Graduate School of Engineering)

  • Daichi Yanagisawa

    (The University of Tokyo, Research Center for Advanced Science and Technology)

  • Katsuhiro Nishinari

    (The University of Tokyo, Research Center for Advanced Science and Technology)

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.

Suggested Citation

  • Akihito Nagahama & Daichi Yanagisawa & Katsuhiro Nishinari, 2019. "Impact of Next-Nearest Leading Vehicles on Followers’ Driving Behaviours in Mixed Traffic," Springer Books, in: Samer H. Hamdar (ed.), Traffic and Granular Flow '17, pages 11-18, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-11440-4_2
    DOI: 10.1007/978-3-030-11440-4_2
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