Deep Reinforcement Learning-Driven Priority Signal Control Strategy for Emergency Vehicles

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Topic: Key Technologies and Applications of Internet of Vehicles | 更新时间：2025-12-16

- Deep Reinforcement Learning-Driven Priority Signal Control Strategy for Emergency Vehicles
- “In the field of traffic signal control, researchers have proposed the EMV-DQN algorithm, which effectively improves the efficiency of emergency vehicle passage while reducing the impact on social vehicles.”
- Software Guide Vol. 24, Issue 12, Pages: 8-17(2025)
- 作者机构：
  
  大连交通大学轨道智能工程学院，辽宁大连 116052
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251029
  CLC： TP399;U491
- Received：13 January 2025，
  
  Published：15 December 2025
- 稿件说明：
移动端阅览
吴鉴庭,佟宁,董芃.深度强化学习驱动的应急车辆优先信号控制策略[J].软件导刊,2025,24(12):8-17.

WU Jianting,TONG Ning,DONG Peng.Deep Reinforcement Learning-Driven Priority Signal Control Strategy for Emergency Vehicles[J].Software Guide,2025,24(12):8-17.
吴鉴庭,佟宁,董芃.深度强化学习驱动的应急车辆优先信号控制策略[J].软件导刊,2025,24(12):8-17. DOI： 10.11907/rjdk.251029.

WU Jianting,TONG Ning,DONG Peng.Deep Reinforcement Learning-Driven Priority Signal Control Strategy for Emergency Vehicles[J].Software Guide,2025,24(12):8-17. DOI： 10.11907/rjdk.251029.

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