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Speed Planning in Autonomous Driving

Liuyan Wu

Abstract


This paper reviews the role of speed planning in autonomous driving. It influences safety, comfort, and energy efficiency, while also
improving traffic flow and vehicle coordination. Current methods include optimization, data-driven models, and reinforcement approaches,
each balancing performance and adaptability. Key indicators such as safe distance, Time-to-Collision (TTC), jerk, and Time-to-Lane-Crossing (TLC) form a multi-dimensional framework. Future work focuses on integrating these indicators with advanced methods to achieve safe,
smooth, and efficient speed planning.

Keywords


Autonomous Driving; Speed Planning; Safety; Comfort; Energy Efficiency

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References


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DOI: https://doi.org/10.18686/utc.v11i2.268

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