Vehicle connectivity and automation: A sibling relationship

P Ha, S Chen, R Du, J Dong, Y Li… - Frontiers in Built …, 2020 - frontiersin.org
The evolution of scientific advances has often been characterized by the amalgamation of
two or more technologies. With respect to vehicle connectivity and automation, recent …

Multi-agent decision-making modes in uncertain interactive traffic scenarios via graph convolution-based deep reinforcement learning

X Gao, X Li, Q Liu, Z Li, F Yang, T Luan - Sensors, 2022 - mdpi.com
As one of the main elements of reinforcement learning, the design of the reward function is
often not given enough attention when reinforcement learning is used in concrete …

Generalized single-vehicle-based graph reinforcement learning for decision-making in autonomous driving

F Yang, X Li, Q Liu, Z Li, X Gao - Sensors, 2022 - mdpi.com
In the autonomous driving process, the decision-making system is mainly used to provide
macro-control instructions based on the information captured by the sensing system …

Agamas: a new agent-oriented traffic simulation framework for sumo

M Sadeghi Garjan, T Chaanine, C Pasquale… - … Conference on Multi …, 2023 - Springer
Simulating everyday traffic scenarios is not an easy task. Many aspects have to be taken into
consideration and properly modelled, from static components, like traffic lights, to dynamic …

Check for updates AGAMAS: A New Agent-Oriented Traffic Simulation Framework for SUMO

MS Garjan, T Chaanine… - Multi-Agent Systems: 20th …, 2023 - books.google.com
Simulating everyday traffic scenarios is not an easy task. Many aspects have to be taken into
consideration and properly modelled, from static components, like traffic lights, to dynamic …

Controllo del traffico autostradale multi-corsia con Multi-agent Systems e Machine Learning

M Sadeghi Garjan - 2024 - unire.unige.it
The issue of traffic congestion persists as an enduring challenge. Solutions aimed at
mitigating or preventing congestion formation are crucial. However, even the simplest …