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Towards explainable traffic signal control for urban networks through genetic programming
The increasing number of vehicles in urban areas draws significant attention to traffic signal
control (TSC), which can enhance the efficiency of the entire network by properly switching …
control (TSC), which can enhance the efficiency of the entire network by properly switching …
Aiotml: A unified modeling language for aiot-based cyber–physical systems
Due to deeply intertwined physical and hardware/software components together with an
increasing number of interconnected heterogeneous devices powered by artificial …
increasing number of interconnected heterogeneous devices powered by artificial …
DTUMOS, digital twin for large-scale urban mobility operating system
The advancement of digital twin technology has significantly impacted the utilization of
virtual cities in the realm of smart cities and mobility. Digital twins provide a platform for the …
virtual cities in the realm of smart cities and mobility. Digital twins provide a platform for the …
Dynamic traffic signal control for heterogeneous traffic conditions using Max Pressure and Reinforcement Learning
Optimization of green signal timing for each phase at a signalized intersection in an urban
area is critical for efficacious traffic management and congestion mitigation. Many algorithms …
area is critical for efficacious traffic management and congestion mitigation. Many algorithms …
Multiple intersections traffic signal control based on cooperative multi-agent reinforcement learning
For the multi-agent traffic signal controls, the traffic signal at each intersection is controlled
by an independent agent. Since the control policy for each agent is dynamic, when the traffic …
by an independent agent. Since the control policy for each agent is dynamic, when the traffic …
Fairlight: Fairness-aware autonomous traffic signal control with hierarchical action space
Although reinforcement learning (RL) approaches are promising in autonomous traffic signal
control (TSC), they often suffer from the unfairness problem that causes extremely long …
control (TSC), they often suffer from the unfairness problem that causes extremely long …
MonitorLight: Reinforcement learning-based traffic signal control using mixed pressure monitoring
Although Reinforcement Learning (RL) has achieved significant success in the Traffic Signal
Control (TSC), most of them focus on the design of RL elements while the impact of the …
Control (TSC), most of them focus on the design of RL elements while the impact of the …
Traffic signal optimization control method based on adaptive weighted averaged double deep Q network
Y Chen, H Zhang, M Liu, M Ye, H **e, Y Pan - Applied Intelligence, 2023 - Springer
As a critical node and major bottleneck of the urban traffic networks, the control of traffic
signals at road intersections has an essential impact on road traffic flow and congestion …
signals at road intersections has an essential impact on road traffic flow and congestion …
Towards fast and accurate federated learning with non-iid data for cloud-based iot applications
As a promising method of central model training on decentralized device data while
securing user privacy, Federated Learning (FL) is becoming popular in the Internet of Things …
securing user privacy, Federated Learning (FL) is becoming popular in the Internet of Things …
A citywide TD‐learning based intelligent traffic signal control for autonomous vehicles: Performance evaluation using SUMO
An autonomous vehicle can sense its environment and operate without human involvement.
Its adequate management in an intelligent transportation system could significantly reduce …
Its adequate management in an intelligent transportation system could significantly reduce …