Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception

Research article (Expert Systems with Applications, 2024) · cited 20× · AI/ML
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Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception

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Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception is a scholarly article[1].

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  • Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception. Retrieved May 24, 2026, from https://4ort.xyz/entity/variable-speed-limit-control-strategy-for-freeway-tunnels-based-on-a-multi-objective-deep-reinforcement-learning-framewo
MLA “Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/variable-speed-limit-control-strategy-for-freeway-tunnels-based-on-a-multi-objective-deep-reinforcement-learning-framewo.
BibTeX @misc{4ortxyz_variable-speed-limit-control-strategy-for-freeway-tunnels-based-on-a-multi-objective-deep-reinforcement-learning-framewo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Variable speed limit control strategy for freeway tunnels based on a multi-objective deep reinforcement learning framework with safety perception}}, year = {2026}, url = {https://4ort.xyz/entity/variable-speed-limit-control-strategy-for-freeway-tunnels-based-on-a-multi-objective-deep-reinforcement-learning-framewo}, note = {Accessed: 2026-05-24}}
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