Multi-criteria classification, sorting, and clustering: A bibliometric review and research agenda
Multi-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-
making problems involving multiple options and multiple criteria. These methods have been …
making problems involving multiple options and multiple criteria. These methods have been …
Deterministic policy gradient algorithms
In this paper we consider deterministic policy gradient algorithms for reinforcement learning
with continuous actions. The deterministic policy gradient has a particularly appealing form …
with continuous actions. The deterministic policy gradient has a particularly appealing form …
Driving conflict resolution of autonomous vehicles at unsignalized intersections: A differential game approach
Considering personalized driving preferences, a new decision-making framework is
developed using a differential game approach to resolve the driving conflicts of autonomous …
developed using a differential game approach to resolve the driving conflicts of autonomous …
Characterizing the driving behavior of manual vehicles following autonomous vehicles and its impact on mixed traffic performance
An important issue for mixed traffic conditions, in which autonomous vehicles (AVs) and
manual vehicles (MVs) coexist, is to analyze various vehicle interactions caused by different …
manual vehicles (MVs) coexist, is to analyze various vehicle interactions caused by different …
An energy cooperation method of wireless sensor networks based on partially observable Markov decision processes
Q Zhang, Y Liu - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
The performance of routing protocols in wireless sensor networks, such as energy
conservation, energy and load balancing. These indicators have a very important impact on …
conservation, energy and load balancing. These indicators have a very important impact on …
Model Predictive Decision-Making Considering Lane-Changing Time Under Emergency Collision Avoidance for Intelligent Vehicles
When a vehicle faces an imminent collision, it becomes imperative for intelligent vehicles to
make emergency collision avoidance decisions in order to mitigate traffic accidents and …
make emergency collision avoidance decisions in order to mitigate traffic accidents and …
Distributed Cooperative Driving Strategy for Connected Automated Vehicles at Unsignalized Intersections Based on Monte Carlo Method
One of the most important goals of cooperative driving is to control connected automated
vehicles (CAVs) passing through conflict areas safely and efficiently without traffic signals …
vehicles (CAVs) passing through conflict areas safely and efficiently without traffic signals …
An overview of decision-making in autonomous vehicles
In this review we have surveyed the literature on the autonomous vehicle focusing on the
decision-making architecture. The main contribution of this paper is to provide an up-to-date …
decision-making architecture. The main contribution of this paper is to provide an up-to-date …
Suitability Evaluation for Simulated Maneuvering of Autonomous Vehicles
A variety of simulation approaches based on automated driving technologies have been
proposed to develop traffic operations strategies to prevent traffic crashes and alleviate …
proposed to develop traffic operations strategies to prevent traffic crashes and alleviate …
A decision-making model for autonomous vehicles at intersections based on hierarchical reinforcement learning
XM Chen, SY Xu, ZJ Wang, XL Zheng, XT Han… - Unmanned …, 2024 - World Scientific
By aiming at addressing the left-turning problem of an autonomous vehicle considering the
oncoming vehicles at an urban unsignallized intersection, a hierarchical reinforcement …
oncoming vehicles at an urban unsignallized intersection, a hierarchical reinforcement …