Deep Reinforcement Learning-Based Autonomous Driving Strategy under On-Ramp Merge Scenario

Lee, Jaehwi; Eom, Chanin; Lee, Dongsu; Kwon, Minhae

doi:10.7467/ksae.2024.32.7.569

KSAE

2024

DOI: 10.7467/ksae.2024.32.7.569

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Deep Reinforcement Learning-Based Autonomous Driving Strategy under On-Ramp Merge Scenario

Jaehwi Lee,

Chanin Eom,

Dongsu Lee

et al.

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Cited by 1 publication

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Investigating Autonomous Vehicle Driving Strategies in Highway Ramp Merging Zones

Chen,

Wang,

et al. 2024

Mathematics

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The rapid development of autonomous driving technology is widely regarded as a potential solution to current traffic congestion challenges and the future evolution of intelligent vehicles. Effective driving strategies for autonomous vehicles should balance traffic efficiency with safety and comfort. However, the complex driving environment at highway entrance ramp merging areas presents a significant challenge. This study constructed a typical highway ramp merging scenario and utilized deep reinforcement learning (DRL) to develop and regulate autonomous vehicles with diverse driving strategies. The SUMO platform was employed as a simulation tool to conduct a series of simulations, evaluating the efficacy of various driving strategies and different autonomous vehicle penetration rates. The quantitative results and findings indicated that DRL-regulated autonomous vehicles maintain optimal speed stability during ramp merging, ensuring safe and comfortable driving. Additionally, DRL-controlled autonomous vehicles did not compromise speed during lane changes, effectively balancing efficiency, safety, and comfort. Ultimately, this study provides a comprehensive analysis of the potential applications of autonomous driving technology in highway ramp merging zones under complex traffic scenarios, offering valuable insights for addressing these challenges effectively.

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Investigating Autonomous Vehicle Driving Strategies in Highway Ramp Merging Zones

Chen,

Wang,

et al. 2024

Mathematics

View full text Add to dashboard Cite

show abstract

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Deep Reinforcement Learning-Based Autonomous Driving Strategy under On-Ramp Merge Scenario

Cited by 1 publication

References 41 publications

Investigating Autonomous Vehicle Driving Strategies in Highway Ramp Merging Zones

Investigating Autonomous Vehicle Driving Strategies in Highway Ramp Merging Zones

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