Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment

H Shi, Y Zhou, K Wu, X Wang, Y Lin, B Ran - Transportation Research Part …, 2021 - Elsevier
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs)
longitudinal control for a mixed connected and automated traffic environment based on deep …
被引用次数：93 相关文章

Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment

H Shi, Y Zhou, K Wu, X Wang… - … Research Part C …, 2021 - ui.adsabs.harvard.edu
We develop a multi-objective cooperative deep reinforcement learning based CAV car
following control strategy for a mixed traffic. We embed the concept of equilibrium point …

Connected Automated Vehicle Cooperative Control with a Deep Reinforcement Learning Approach in a mixed traffic environment

H Shi - 2021 - cavh.cee.wisc.edu
Background: o Scenario: Connected automated vehicles longitudinal control in mixed traffic
of CAVs and human-driven vehicles (HDVs). o Research gaps:• A fast-computing …

Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment

H Shi, Y Zhou, K Wu, X Wang, Y Lin, B Ran - … Research Part C: Emerging …, 2021 - trid.trb.org
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs)
longitudinal control for a mixed connected and automated traffic environment based on deep …