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

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Book cover Traffic and Granular Flow '17 (TGF 2017)

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.

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Acknowledgements

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

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Correspondence to Akihito Nagahama .

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Nagahama, A., Yanagisawa, D., Nishinari, K. (2019). Impact of Next-Nearest Leading Vehicles on Followers’ Driving Behaviours in Mixed Traffic. In: Hamdar, S. (eds) Traffic and Granular Flow '17. TGF 2017. Springer, Cham. https://doi.org/10.1007/978-3-030-11440-4_2

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