Dynamic urban traffic rerouting with fog‐cloud reinforcement learning
Dynamic rerouting has been touted as a solution for urban traffic congestion. However, its
implementation is stymied by the complexity of urban traffic. To address this, recent studies …
implementation is stymied by the complexity of urban traffic. To address this, recent studies …
[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 …
Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approach
Trajectory optimization for connected automated vehicles (CAVs) is an effective method to
improve the overall performance of urban traffic. At the same time, the emergence of deep …
improve the overall performance of urban traffic. At the same time, the emergence of deep …
Kinematics-aware multigraph attention network with residual learning for heterogeneous trajectory prediction
Trajectory prediction for heterogeneous traffic agents plays a crucial role in ensuring the
safety and efficiency of automated driving in highly interactive traffic environments …
safety and efficiency of automated driving in highly interactive traffic environments …
[HTML][HTML] Are current roads ready for highly automated driving? A conceptual model for road readiness for AVs applied to the UK city of Leeds
O Tengilimoglu, O Carsten, Z Wadud - … Research Part A: Policy and Practice, 2024 - Elsevier
Abstract The emergence of Automated Vehicles (AVs) promises a transformative impact on
future travel patterns and consequently on the design of urban spaces. Despite the …
future travel patterns and consequently on the design of urban spaces. Despite the …
Toward C-V2X Enabled Connected Transportation System: RSU-Based Cooperative Localization Framework for Autonomous Vehicles
An accurate and robust localization system is crucial for autonomous vehicles (AVs) to
enable safe driving in urban scenes. While existing global navigation satellite system …
enable safe driving in urban scenes. While existing global navigation satellite system …
A distributed deep reinforcement learning-based longitudinal control strategy for connected automated vehicles combining attention mechanism
With the rapid development of connected automated vehicles (CAVs), the trajectory control
of CAVs has become a focus in traffic engineering. This paper proposes a distributed deep …
of CAVs has become a focus in traffic engineering. This paper proposes a distributed deep …
Privacy and security issues surrounding vehicular Adhoc networks
E Asituha - World Journal of Advanced Research and Reviews, 2023 - wjarr.com
Vehicular Ad-Hoc Networks (VANETs) is a type of mobile ad hoc network (MANET)
specifically designed for communication among vehicles on the road. VANETs enable …
specifically designed for communication among vehicles on the road. VANETs enable …
A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness
J Betz, M Lutwitzi, S Peters - arXiv preprint arXiv:2404.17044, 2024 - arxiv.org
The aim of this paper is to investigate the relationship between operational design domains
(ODD), automated driving SAE Levels, and Technology Readiness Level (TRL). The first …
(ODD), automated driving SAE Levels, and Technology Readiness Level (TRL). The first …
Design and Management of Highway Infrastructure to Accommodate CAVs
Over the past century, landmark advancements in vehicle technology have motivated road
agencies to carry out changes in their road infrastructure design and management …
agencies to carry out changes in their road infrastructure design and management …