Balancing Efficiency and Comfort for Intersection Coordination in Autonomous Driving

Balancing traffic efficiency and passenger comfort is a fundamental challenge in autonomous intersection management. This paper presents a novel framework that integrates comfort-related metrics, such as minimizing jerk, alongside traffic efficiency optimization. Experimental evaluations demonstrate that the framework effectively balances efficiency and comfort under varying traffic conditions, outperforming methods that prioritize only one objective.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174489
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Balancing Efficiency and Comfort for Intersection Coordination in Autonomous Driving

Ittetsu Taniguchi, Takao Onoye, Hiroki Nishikawa, Fuma Sawa et al.
Human-Automation Interaction and Safety
article

Balancing Efficiency and Comfort for Intersection Coordination in Autonomous Driving

Ittetsu Taniguchi, Takao Onoye, Hiroki Nishikawa, Fuma Sawa, Muzaffer Citir, Sangyoung Park
article en

Abstract

Balancing traffic efficiency and passenger comfort is a fundamental challenge in autonomous intersection management. This paper presents a novel framework that integrates comfort-related metrics, such as minimizing jerk, alongside traffic efficiency optimization. Experimental evaluations demonstrate that the framework effectively balances efficiency and comfort under varying traffic conditions, outperforming methods that prioritize only one objective.

Smart Material (Germany) (DE), The University of Osaka (JP)
Openalex Percentile: Top 69%
Human-Automation Interaction and Safety
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Balancing Efficiency and Comfort for Intersection Coordination in Autonomous Driving — Ittetsu Taniguchi, Takao Onoye, et al. · (2025) | TGRS Research Map | TGRS