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Decision-Making for Autonomous Vehicles in Random Task Scenarios at Unsignalized Intersection Using Deep Reinforcement Learning

IEEE Transactions on Vehicular Technology
This study constructs a decision-making control framework for autonomous ego vehicles (AEVs) based on Soft Actor-Critic (SAC) in a random driving task scenario at an unsignalized intersection.
Wenxuan Xiao   +6 more
semanticscholar   +1 more source

Research on the Behavior Decision of Connected and Autonomous Vehicle at the Unsignalized Intersection

2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI), 2021
In the context of emerging technologies and mature applications of Connected and Autonomous Vehicle, higher requirements are made for the techniques concerning behavioral control at the crossings in the intelligent networks.
Xiang-Lin Pan, Xing-Zhi Lin
semanticscholar   +1 more source

A Learning-Based Stochastic Model Predictive Control Method for Online Trajectory Control of Autonomous Vehicles at an Unsignalized Intersection

2025 IEEE 19th International Conference on Control & Automation (ICCA)
This paper proposes an autonomous driving framework for unsignalized intersections. The framework consists of two modules: vehicle state inference and vehicle motion planning.
Yangyang Yang   +4 more
semanticscholar   +1 more source

Virtual Platoon based CAVs Cooperative Driving at Unsignalized Intersection

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022
The emergence of connected and automated vehicles (CAVs) poses a promising future of transportation systems. Complicated traffic conditions at intersections lead to challenges for cooperative driving of CAVs while ensuring safety and efficiency.
Xiangyue Cong   +4 more
semanticscholar   +1 more source

Modeling aggressive driver behavior at unsignalized intersections

Accident Analysis & Prevention, 2007
The processing of vehicles at unsignalized intersections is a complex and highly interactive process, whereby each driver makes individual decisions about when, where, and how to complete the required maneuver, subject to his perceptions of distances, velocities, and own car's performance.
Isam A, Kaysi, Ali S, Abbany
openaire   +2 more sources

An autonomous driving decision-making framework for joint prediction and planning in unsignalized intersection scenarios

Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
Unsignalized intersections present one of the most challenging environments in autonomous driving due to their complex traffic scenarios. Safely and efficiently navigating these uncertain settings remains a significant research hurdle.
Shu-Pei Zhang   +4 more
semanticscholar   +1 more source

Delay at Unsignalized Intersections

Transportation Research Record: Journal of the Transportation Research Board, 2008
The estimation of average delay for vehicles at an intersection by analytic methods is based on queuing theory. Because of the variability of traffic demand over time, the estimation of delays for time-dependent flow and capacity—also with a temporary overload—is of primary interest.
openaire   +1 more source

A Decision-Making Approach for Complex Unsignalized Intersection by Deep Reinforcement Learning

IEEE Transactions on Vehicular Technology
Decision-making for automatic vehicles at unsignalized intersections with dense traffic is one of the most challenging tasks. Due to the complex structure and frequent traffic accidents, traditional rule-based methods struggle to address this issue ...
Shanke Li   +5 more
semanticscholar   +1 more source

Delays of Shared-Short Lanes at Unsignalized Intersections

Transportation Research Record: Journal of the Transportation Research Board, 2019
At unsignalized intersections, both on the major street and on the minor street, there may be short turning lanes alongside the through lanes following downstream from one single lane. This combined system is termed a shared-short lane (SSL). Up to now it has only been possible to calculate the capacity of these lanes at the stop line and the capacity ...
Wu, Ning, Brilon, Werner
openaire   +1 more source

Occlusion-Aware Planning for Connected and Automated Vehicles with Cooperative Perception at Unsignalized Intersection

2025 IEEE Intelligent Vehicles Symposium (IV)
Achieving safe and efficient navigation in urban environments remains a significant challenge for autonomous driving, primarily due to frequent occlusions that hinder perception.
Hao Su, S. Arakawa, Masayuki Murata
semanticscholar   +1 more source

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