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Deep Merging: Vehicle Merging Controller Based on...
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Deep Merging: Vehicle Merging Controller Based on Deep Reinforcement Learning with Embedding Network

Abstract

Vehicles at highway merging sections must make lane changes to join the highway. This lane change can generate congestion. To reduce congestion, vehicles should merge so as not to affect traffic flow as much as possible. In our study, we propose a vehicle controller called Deep Merging that uses deep reinforcement learning to improve the merging efficiency of vehicles while considering the impact on traffic flow. The system uses the images of a …

Authors

Nishitani I; Yang H; Guo R; Keshavamurthy S; Oguchi K

Volume

00

Pagination

pp. 216-221

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

August 31, 2020

DOI

10.1109/icra40945.2020.9197559

Name of conference

2020 IEEE International Conference on Robotics and Automation (ICRA)