Autonomous Vehicle Based on Deep Reinforcement Learning to Prevent Traffic Congestion in V2X 


Vol. 48,  No. 10, pp. 1235-1237, Oct.  2023
10.7840/kics.2023.48.10.1235


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  Abstract

In this letter, traffic congestion was prevented using autonomous vehicles and traffic light control based on the PPO algorithm in the V2X environment. The average speed of vehicles was compared and analyzed through simulations.

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[IEEE Style]

Y. Jo, H. Jeong, G. Hwang, "Autonomous Vehicle Based on Deep Reinforcement Learning to Prevent Traffic Congestion in V2X," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 10, pp. 1235-1237, 2023. DOI: 10.7840/kics.2023.48.10.1235.

[ACM Style]

Yeong-je Jo, Hyeon-joo Jeong, and Gyung-Ho Hwang. 2023. Autonomous Vehicle Based on Deep Reinforcement Learning to Prevent Traffic Congestion in V2X. The Journal of Korean Institute of Communications and Information Sciences, 48, 10, (2023), 1235-1237. DOI: 10.7840/kics.2023.48.10.1235.

[KICS Style]

Yeong-je Jo, Hyeon-joo Jeong, Gyung-Ho Hwang, "Autonomous Vehicle Based on Deep Reinforcement Learning to Prevent Traffic Congestion in V2X," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 10, pp. 1235-1237, 10. 2023. (https://doi.org/10.7840/kics.2023.48.10.1235)
Vol. 48, No. 10 Index