A Systematic literature review of autonomous and connected vehicles in traffic management

F Alanazi - Applied Sciences, 2023 - mdpi.com
The emergence of autonomous vehicles and the advancement of technology over the past
several decades has increased the demand for intelligent intersection management …

[HTML][HTML] Sustainable integration of autonomous vehicles into road networks: ecological and passenger comfort considerations

SM Hosseinian, H Mirzahossein, R Guzik - Sustainability, 2024 - mdpi.com
Autonomous vehicle (AV) technology is rapidly advancing, leading to a sustainable
evolution in transportation. AVs offer the promise of enhanced safety, reduced emissions …

Variable Speed Limit Intelligent Decision-Making Control Strategy Based on Deep Reinforcement Learning under Emergencies

J Yang, P Wang, Y Ju - Sustainability, 2024 - mdpi.com
Uncertain emergency events are inevitable and occur unpredictably on the highway.
Emergencies with lane capacity drops cause local congestion and can even cause a second …

Autonomous driving system architecture with integrated ROS2 and adaptive AUTOSAR

D Hong, C Moon - Electronics, 2024 - mdpi.com
In the automotive industry, research is now underway to apply Adaptive Automotive Open
System Architecture (AUTOSAR) to the development of next-generation mobility, such as …

[HTML][HTML] Enhancing Traffic Efficiency and Sustainability through Strategic Placement of Roadside Units and Variable Speed Limits in a Connected Vehicle …

K Bhattacharyya, PA Laharotte, E Fauchet, H Blache… - Sustainability, 2024 - mdpi.com
With the deployment of cooperative intelligent transportation systems (C-ITSs), the
telecommunication systems and their performance occupy a key position in ensuring safe …

Reinforcement learning based mainline dynamic speed limit adjustment of expressway off‐ramp upstream under connected and autonomous vehicles environment

D **ao, S Kang, X Xu, Z Shen - IET Intelligent Transport …, 2022 - Wiley Online Library
With the rapid progress of urbanization and continuous increasing of automobiles,
expressway on‐and off‐ramp area becomes the bottleneck, and recurrent congestion occurs …

Reinforcement learning-based dynamic zone placement variable speed limit control for mixed traffic flows using speed transition matrices for state estimation

F Vrbanić, L Tišljarić, Ž Majstorović, E Ivanjko - Machines, 2023 - mdpi.com
Current transport infrastructure and traffic management systems are overburdened due to
the increasing demand for road capacity, which often leads to congestion. Building more …

[HTML][HTML] Reinforcement learning-based dynamic zone positions for mixed traffic flow variable speed limit control with congestion detection

F Vrbanić, M Gregurić, M Miletić, E Ivanjko - Machines, 2023 - mdpi.com
Existing transportation infrastructure and traffic control systems face increasing strain as a
result of rising demand, resulting in frequent congestion. Expanding infrastructure is not a …

Autonomous vehicles parameter influence on mixed traffic flow on a motorway: A simulation approach

L Babić, L Tišljarić, F Vrbanić, L Novačko - Transportation research …, 2022 - Elsevier
The influence of autonomous vehicles (AVs) development can be undoubtedly noticed in the
various traffic scenarios. Motorway networks are especially convenient for AV development …

Reinforcement learning based variable speed limit control for mixed traffic flows using speed transition matrices for state estimation

F Vrbanić, L Tišljarić, Ž Majstorović… - … Conference on Control …, 2022 - ieeexplore.ieee.org
The ever-increasing growth of the car industry and the demand for personal vehicles have
put current traffic management systems and infrastructure to strain. The enlarged number of …