Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Autonomous vessels: state of the art and potential opportunities in logistics
The growth in technology on autonomous transportation systems is currently motivating a
number of research initiatives. This paper first presents a survey of the literature on …
number of research initiatives. This paper first presents a survey of the literature on …
[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …
systems because of their speculated capabilities in improving road safety, saving energy …
A novel lane change decision-making model of autonomous vehicle based on support vector machine
Autonomous driving is a crucial issue of the automobile industry, and research on lane
change is its significant part. Previous works on the autonomous vehicle lane change mainly …
change is its significant part. Previous works on the autonomous vehicle lane change mainly …
Automated lane change strategy using proximal policy optimization-based deep reinforcement learning
Lane-change maneuvers are commonly executed by drivers to follow a certain routing plan,
overtake a slower vehicle, adapt to a merging lane ahead, etc. However, improper lane …
overtake a slower vehicle, adapt to a merging lane ahead, etc. However, improper lane …
Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range …
The connectivity aspect of connected autonomous vehicles (CAV) is beneficial because it
facilitates dissemination of traffic-related information to vehicles through Vehicle-to-External …
facilitates dissemination of traffic-related information to vehicles through Vehicle-to-External …
Harmonious lane changing via deep reinforcement learning
In this paper, we study how to learn a harmonious deep reinforcement learning (DRL) based
lane-changing strategy for autonomous vehicles without Vehicle-to-Everything (V2X) …
lane-changing strategy for autonomous vehicles without Vehicle-to-Everything (V2X) …
A human-like trajectory planning method on a curve based on the driver preview mechanism
J Zhao, D Song, B Zhu, Z Sun, J Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent vehicle technology, many studies have been focused on
developing human-like trajectory planning methods for automated driving systems. Although …
developing human-like trajectory planning methods for automated driving systems. Although …
Mixed flow of autonomous and human-driven vehicles: Analytical headway modeling and optimal lane management
R Mohajerpoor, M Ramezani - Transportation research part C: emerging …, 2019 - Elsevier
Presence of autonomous vehicles (AVs) affects traffic flow characteristics of a mixed traffic
stream comprising human-driven vehicles. To model the impact of AVs on the saturation flow …
stream comprising human-driven vehicles. To model the impact of AVs on the saturation flow …
Key feature selection and risk prediction for lane-changing behaviors based on vehicles' trajectory data
Risky lane-changing (LC) behavior of vehicles on the road has negative effects on traffic
safety. This study presents a research framework for key feature selection and risk prediction …
safety. This study presents a research framework for key feature selection and risk prediction …