Cumulative reward variations at different CAV penetration rates.

Cumulative reward variations at different CAV penetration rates.

<p>Cumulative reward variations at different CAV penetration rates.</p>

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Bibliographic Details
Main Author:	Sen Cao (6017846) (author)
Other Authors:	Yaping Sun (168299) (author), Xingchen Zhang (3218931) (author), Mengyang Yang (21499944) (author)
Published:	2025
Subjects:	Medicine Sociology Infectious Diseases Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified urban traffic systems proposed model incorporates prioritized experience replay offering valuable insights model &# 8217 mixed traffic scenarios method &# 8217 layer deep q enabling efficient learning ddqn methods across comprehensive state representation pedestrian flow variability experimental evaluations underscore pedestrian phase activations intelligent connected environments pedestrian conflicts results underscore phase switches xlink "> traditional dqn time strategies study introduces signal stability queue lengths integrates cav increasing integration hdv car following dynamics fine balance enhanced dual driven vehicles distinct capability distinct advantages delays compared automated vehicles advancements allow
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