Gameplan: Game-theoretic multi-agent planning with human drivers at intersections, roundabouts, and merging

R Chandra, D Manocha - IEEE Robotics and Automation …, 2022 - ieeexplore.ieee.org
We present a new method for multi-agent planning involving human drivers and
autonomous vehicles (AVs) in unsignaled intersections, roundabouts, and during merging …

Coordination of mixed platoons and eco-driving strategy for a signal-free intersection

S Jiang, T Pan, R Zhong, C Chen, X Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates the collaborative control of vehicular traffic for a signal-free
intersection. The traffic under consideration is mixed with connected autonomous vehicles …

Safety-assured design and adaptation of learning-enabled autonomous systems

Q Zhu, C Huang, R Jiao, S Lan, H Liang, X Liu… - Proceedings of the 26th …, 2021 - dl.acm.org
Future autonomous systems will employ sophisticated machine learning techniques for the
sensing and perception of the surroundings and the making corresponding decisions for …

Gameopt: Optimal real-time multi-agent planning and control for dynamic intersections

N Suriyarachchi, R Chandra, JS Baras… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
We propose GAMEOPT: a novel hybrid approach to cooperative intersection control for
dynamic, multi-lane, unsignalized intersections. Safely navigating these complex and …

Ensuring Safety at Intelligent Intersections: Temporal Logic Meets Reachability Analysis

KM Arfvidsson, FJ Jiang, KH Johansson… - arXiv preprint arXiv …, 2024 - arxiv.org
In this work, we propose an approach for ensuring the safety of vehicles passing through an
intelligent intersection. There are many proposals for the design of intelligent intersections …

Multi-agent chance-constrained stochastic shortest path with application to risk-aware intelligent intersection

M Khonji, R Alyassi, W Merkt, A Karapetyan… - arXiv preprint arXiv …, 2022 - arxiv.org
In transportation networks, where traffic lights have traditionally been used for vehicle
coordination, intersections act as natural bottlenecks. A formidable challenge for existing …

GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control

N Suriyarachchi, R Chandra, A Anantula… - arXiv preprint arXiv …, 2024 - arxiv.org
Better fuel efficiency leads to better financial security as well as a cleaner environment. We
propose a novel approach for improving fuel efficiency in unstructured and unregulated …

A study of hazard analysis and monitoring concepts of autonomous vehicles based on V2V communication system at non-signalized intersections

Y Baek, S Shin, D Ahn, H Lee, B Moon… - The Journal of The …, 2020 - koreascience.kr
Autonomous vehicles are equipped with a wide rage of sensors such as GPS, RADAR,
LIDAR, camera, IMU, etc. and are driven by recognizing and judging various transportation …

A study on the risk analysis and fail-safe verification of autonomous vehicles using V2X based on intersection scenarios

Y Baek, SG Shin, J Park, HK Lee, S Eom… - The Journal of The …, 2021 - koreascience.kr
Autonomous vehicles using V2X can drive safely information on areas outside the sensor
coverage of autonomous vehicles conventional autonomous vehicles. As V2X technology …

[图书][B] From sim-to-real: learning and deploying autonomous vehicle controllers that improve transportation metrics

E Vinitsky - 2022 - search.proquest.com
The recent wide availability of semi-autonomous vehicles with distance and lane keep
capabilities have created an exciting opportunity to improve the throughput and energy …