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 …
A review of vehicle lane change research
C Ma, D Li - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
Vehicle lane change behavior, which is an important part of traffic flow theory, can have a
fundamental impact on the macro and micro characteristics of traffic flow. At the same time, it …
fundamental impact on the macro and micro characteristics of traffic flow. At the same time, it …
A taxonomy for autonomous vehicles considering ambient road infrastructure
To standardize definitions and guide the design, regulation, and policy related to automated
transportation, the Society of Automotive Engineers (SAE) has established a taxonomy …
transportation, the Society of Automotive Engineers (SAE) has established a taxonomy …
Vehicular mobility patterns and their applications to Internet-of-Vehicles: A comprehensive survey
With the growing popularity of the Internet-of-Vehicles (IoV), it is of pressing necessity to
understand transportation traffic patterns and their impact on wireless network designs and …
understand transportation traffic patterns and their impact on wireless network designs and …
A personalized human-like lane-changing trajectory planning method for automated driving system
This article describes a human-like automated lane-changing system to mimic the lane-
changing maneuver of human drivers in order to make automated vehicles more realistic. In …
changing maneuver of human drivers in order to make automated vehicles more realistic. In …
A cooperative lane change model for connected and automated vehicles
The emerging technology of vehicle-to-vehicle (V2V) communication, vehicle-to-
infrastructure (V2I) communication makes it possible for vehicles to sense the environment …
infrastructure (V2I) communication makes it possible for vehicles to sense the environment …
[HTML][HTML] Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving
Despite significant progress in autonomous vehicles (AVs), the development of driving
policies that ensure both the safety of AVs and traffic flow efficiency has not yet been fully …
policies that ensure both the safety of AVs and traffic flow efficiency has not yet been fully …
Behavior prediction of traffic actors for intelligent vehicle using artificial intelligence techniques: A review
Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …
A deep learning method for lane changing situation assessment and decision making
X Liu, J Liang, B Xu - IEEE Access, 2019 - ieeexplore.ieee.org
Compared with the lane keeping maneuvers, lane changing maneuvers are much more
complicated. Inappropriate ones may result in traffic accidents. Therefore, it is necessary to …
complicated. Inappropriate ones may result in traffic accidents. Therefore, it is necessary to …
Highway lane-changing prediction using a hierarchical software architecture based on support vector machine and continuous hidden markov model
Lane changing behavior is one of the most essential and complex driving attributes. The
lack of proper lane changing behavior can lead to collisions and traffic congestion. In this …
lack of proper lane changing behavior can lead to collisions and traffic congestion. In this …