Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving

J Li, L Yao, X Xu, B Cheng, J Ren - Information Sciences, 2020 - Elsevier
… , a human-machine cooperative driving scheme is proposed to assist human drivers with the
learned driving … avoidance when the driving behavior of human drivers is dangerous to the …

Prediction of car-following behavior of autonomous vehicle and human-driven vehicle based on drivers' memory and cooperation with lead vehicle

A Adewale, C Lee - Transportation research record, 2024 - journals.sagepub.com
… that the car-following behavior of HDV drivers may vary depending on the type of lead vehicle
(AV or HDV), indicating that human drivers … based on the type of vehicle they are following. …

Autonomous vehicles: theoretical and practical challenges

M Martínez-Díaz, F Soriguera - Transportation research procedia, 2018 - Elsevier
… The main agents in cooperative autonomous driving are the vehicles, the infrastructure, the
… traffic environment: safety and comfort of human drivers must be ensured while improving the …

Coordination control strategy for human-machine cooperative steering of intelligent vehicles: A reinforcement learning approach

J Xie, X Xu, F Wang, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
human-machine cooperative steering of intelligent vehicles, so as to realize a more flexible
and efficient way for the human driver and the automated driving … of autonomous vehicles: A …

Cooperative traffic control where autonomous cars meet human drivers

A Ghosh, S Huang - 2019 SoutheastCon, 2019 - ieeexplore.ieee.org
… agents can be involved; the system is not getting any direct feedback from the human.
Thus, this research proposes cooperation between human and computer to improve traffic …

Modelling of a human driverʼ s interaction with vehicle automated steering using cooperative game theory

X Na, DJ Cole - IEEE/CAA Journal of Automatica Sinica, 2019 - ieeexplore.ieee.org
… how the human driver interacts with the automated system. Non-cooperative game theory
is … interaction, while its counterpart, cooperative game theory is rarely discussed for similar …

Utility assessment in automated driving for cooperative human–machine systems

E Altendorf, C Schreck, G Weßel, Y Canpolat… - Cognition, Technology & …, 2019 - Springer
… grant that, for a certain time, a human driver cannot be replaced in all driving situations.
Thus, as long as there are no fully automated vehicles without any input devices, human

Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework

AJM Muzahid, SF Kamarulzaman, MA Rahman… - Scientific reports, 2023 - nature.com
… dense with human drivers or an AV network with minimal interaction with human-operated …
It is this hybrid human-machinery space, now known as mixed autonomy, which merits our …

Collaborative autonomous driving—A survey of solution approaches and future challenges

S Malik, MA Khan, H El-Sayed - Sensors, 2021 - mdpi.com
… sensing and (ii) cooperative maneuvering. To better … cooperation in cooperative driving. In
this survey, we review the current solution approaches in cooperation for autonomous vehicles

A trajectory optimization-based intersection coordination framework for cooperative autonomous vehicles

Y Zhang, R Hao, T Zhang, X Chang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… trians, bicycles or other vehicles with human drivers, a low-… throughput, fairness in driving
maneuvers and driving comfort, etc. … possible deadlocks among autonomous vehicles, which is …