A survey on urban traffic control under mixed traffic environment with connected automated vehicles
Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …
traffic safety. With the development of communication and automation technologies, regular …
Perimeter control with real-time location-varying cordon
With unbalanced travel demand distribution over time and space, a stationary cordon
location hinders the full potential of perimeter flow control based on network Macroscopic …
location hinders the full potential of perimeter flow control based on network Macroscopic …
Network-level coordinated speed optimization and traffic light control for connected and automated vehicles
M Tajalli, M Mehrabipour… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This study develops a methodology for coordinated speed optimization and traffic light
control in urban street networks. We assume that all vehicles are connected and automated …
control in urban street networks. We assume that all vehicles are connected and automated …
Network-level multiband signal coordination scheme based on vehicle trajectory data
Traffic signal coordination has long been recognized as an efficient way of achieving smooth
urban traffic. This paper proposes a network-level multiband signal coordination (NMBSC) …
urban traffic. This paper proposes a network-level multiband signal coordination (NMBSC) …
[PDF][PDF] Traffic signal coordination control for arterials with dedicated CAV lanes
Purpose-This study aims to make full use of the advantages of connected and autonomous
vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without …
vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without …
An integrated Empirical Mode Decomposition and Butterworth filter based vehicle trajectory reconstruction method
Trajectory data serving as an essential data-source, has been widely applied in traffic flow
analysis, traffic prediction and transportation management. In real situations, trajectory data …
analysis, traffic prediction and transportation management. In real situations, trajectory data …
An optimization model for arterial coordination control based on sampled vehicle trajectories: The STREAM model
Traditional arterial coordination control models adopt aggregated demand from fixed
detectors or manual counts as main input, which lack a self-feedback mechanism between …
detectors or manual counts as main input, which lack a self-feedback mechanism between …
A meta–reinforcement learning algorithm for traffic signal control to automatically switch different reward functions according to the saturation level of traffic flows
G Kim, J Kang, K Sohn - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Reinforcement learning (RL) algorithms have been widely applied in solving traffic signal
control problems. Traffic environments, however, are intrinsically nonstationary, which …
control problems. Traffic environments, however, are intrinsically nonstationary, which …
Optimization model of regional green wave coordination control for the coordinated path set
K Lu, X Tian, S Jiang, Y Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An optimization model of regional green wave coordination control for the coordinated path
set is proposed based on the network's directional and asymmetric actual coordination …
set is proposed based on the network's directional and asymmetric actual coordination …
A two-stage stochastic optimization model for integrated tram timetable and speed control with uncertain dwell times
J Li, Y Bai, Y Chen, L Yang, Q Wang - Energy, 2022 - Elsevier
Modern trams usually own passive transit signal priority (TSP) to avoid interruption from
traffic signals along the route. The key to TSP depends on the stick to the recommended …
traffic signals along the route. The key to TSP depends on the stick to the recommended …