Gameplan: Game-theoretic multi-agent planning with human drivers at intersections, roundabouts, and merging
We present a new method for multi-agent planning involving human drivers and
autonomous vehicles (AVs) in unsignaled intersections, roundabouts, and during merging …
autonomous vehicles (AVs) in unsignaled intersections, roundabouts, and during merging …
Coordination of mixed platoons and eco-driving strategy for a signal-free intersection
This paper investigates the collaborative control of vehicular traffic for a signal-free
intersection. The traffic under consideration is mixed with connected autonomous vehicles …
intersection. The traffic under consideration is mixed with connected autonomous vehicles …
Safety-assured design and adaptation of learning-enabled autonomous systems
Future autonomous systems will employ sophisticated machine learning techniques for the
sensing and perception of the surroundings and the making corresponding decisions for …
sensing and perception of the surroundings and the making corresponding decisions for …
Gameopt: Optimal real-time multi-agent planning and control for dynamic intersections
We propose GAMEOPT: a novel hybrid approach to cooperative intersection control for
dynamic, multi-lane, unsignalized intersections. Safely navigating these complex and …
dynamic, multi-lane, unsignalized intersections. Safely navigating these complex and …
Ensuring Safety at Intelligent Intersections: Temporal Logic Meets Reachability Analysis
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 …
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
In transportation networks, where traffic lights have traditionally been used for vehicle
coordination, intersections act as natural bottlenecks. A formidable challenge for existing …
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 …
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 …
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 …
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 …
capabilities have created an exciting opportunity to improve the throughput and energy …