Car-following characteristics and speed model of highway tunnel vehicles

To investigate the relationship between car-following behavior and following speed on expressway tunnel sections, and to develop quantitative models linking space headway, time headway, and relative speed to following speed. Naturalistic driving experiments were conducted on real expressways with normal traffic flow across multiple tunnel sections. Following speed, space headway, time headway, and relative speed were collected, their relationships with following speed were modeled, and the influence of the leading vehicle type was further analyzed. The fitted models exhibited high goodness-of-fit (R2 = 0.86, 0.94, 0.76, 0.80, 0.55, and 0.77, respectively). In the primary speed range, space headway increased with speed and relative speed declined gradually, whereas time headway gradually decreased when following a car but first increased and then decreased when following a large vehicle. When the leading vehicle was large, space headway grew faster and the speed difference rose more markedly than when following a car. These findings reveal the nonlinear nature of car-following behavior in expressway tunnels and confirm the moderating role of the leading vehicle type, providing a reference for calibrating car-following algorithms in tunnel environments.

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Publication Details

Journal
Figshare
Published
2026-11-04
DOI
https://doi.org/10.6084/m9.figshare.34914257
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

Car-following characteristics and speed model of highway tunnel vehicles

Shuang Luo, Xingliang Liu, Li Chen, Xuemin Yang et al.
Figshare
Traffic control and management
article

Car-following characteristics and speed model of highway tunnel vehicles

Shuang Luo, Xingliang Liu, Li Chen, Xuemin Yang, Jin Xu
article en

Abstract

To investigate the relationship between car-following behavior and following speed on expressway tunnel sections, and to develop quantitative models linking space headway, time headway, and relative speed to following speed. Naturalistic driving experiments were conducted on real expressways with normal traffic flow across multiple tunnel sections. Following speed, space headway, time headway, and relative speed were collected, their relationships with following speed were modeled, and the influence of the leading vehicle type was further analyzed. The fitted models exhibited high goodness-of-fit (R2 = 0.86, 0.94, 0.76, 0.80, 0.55, and 0.77, respectively). In the primary speed range, space headway increased with speed and relative speed declined gradually, whereas time headway gradually decreased when following a car but first increased and then decreased when following a large vehicle. When the leading vehicle was large, space headway grew faster and the speed difference rose more markedly than when following a car. These findings reveal the nonlinear nature of car-following behavior in expressway tunnels and confirm the moderating role of the leading vehicle type, providing a reference for calibrating car-following algorithms in tunnel environments.

Figshare
Openalex Percentile: Top 19%
Traffic control and management
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