Game theoretic application to intersection management: A literature review
The emergence of vehicle-to-everything (V2X) technology offers new insights into
intersection management. This, however, has also presented new challenges, such as the …
intersection management. This, however, has also presented new challenges, such as the …
Managing mixed traffic at signalized intersections: An adaptive signal control and CAV coordination system based on deep reinforcement learning
Managing the mixed traffic involving connected and autonomous vehicles (CAVs) and
human-driven vehicles (HVs) at a signalized intersection has become a concern of …
human-driven vehicles (HVs) at a signalized intersection has become a concern of …
The Performance of Roundabouts with Traffic Signals: A Case Kadipaten Intersection, Indonesia A Case Kadipaten Intersection, Indonesia
Roundabouts with traffic signals at the Kadipaten intersection are one of the centers of
activity in this area, with traditional markets, shops, and terminals. The rapid development in …
activity in this area, with traditional markets, shops, and terminals. The rapid development in …
A survey on market-inspired intersection control methods for connected vehicles
C Iliopoulou, K Kepaptsoglou… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Recent advances in wireless communication technology allow for the cooperative
coordination of vehicles and infrastructures under vehicle-to-everything (V2X) …
coordination of vehicles and infrastructures under vehicle-to-everything (V2X) …
Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic
The interaction between ramp and mainline vehicles plays a crucial role in merging areas,
especially in the mixed-traffic environment. The driving behaviours of human drivers are …
especially in the mixed-traffic environment. The driving behaviours of human drivers are …
Beyond Sensors: IntelliSignal's Map-Integrated Intelligence in Traffic Flow Optimization
K Sreejith, S Mathi, P Pradeep - IEEE Access, 2024 - ieeexplore.ieee.org
The burgeoning growth of vehicular traffic, fuelled by rapid urbanization and an ever-
expanding population, has resulted in congested road networks. Traditional and sensor …
expanding population, has resulted in congested road networks. Traditional and sensor …
Traffic signal optimization framework using interpretable machine learning technique under heterogeneous-autonomy traffic environment
Recent advancements in the industrial revolution and artificial intelligence have aided in the
development of novel approaches that have considerable potential for increasing the …
development of novel approaches that have considerable potential for increasing the …
Adaptive signalized intersection control in mixed traffic environment of connected vehicles with safety guarantees
Adaptive signalized intersection control with safety guarantees is proposed for a connected
intersection serving mixed traffic consisting of automated and human-driven vehicles. To …
intersection serving mixed traffic consisting of automated and human-driven vehicles. To …
Network-Wide Traffic Signal Control Based on MARL With Hierarchical Nash-Stackelberg Game Model
H Shen, H Zhao, Z Zhang, X Yang, Y Song… - IEEE Access, 2023 - ieeexplore.ieee.org
Network-wide traffic signal control is an important means of relieving urban congestion,
reducing traffic accidents, and improving traffic efficiency. However, solving the problem of …
reducing traffic accidents, and improving traffic efficiency. However, solving the problem of …
A Cooperative DRL Approach for Autonomous Traffic Prioritization in Mixed Vehicles Scenarios
The number of connected and automated vehicles in urban areas will gradually increase in
the near future. As a consequence, mixed traffic made of both regular human-driven and …
the near future. As a consequence, mixed traffic made of both regular human-driven and …