A transportation digital-twin approach for adaptive traffic control systems
A transportation digital twin represents a digital version of a transportation physical object or
process, such as a traffic signal controller, and thereby a two-way real-time data exchange …
process, such as a traffic signal controller, and thereby a two-way real-time data exchange …
Dynamic data driven transportation systems
Congestion-induced delays and pollution in modern transportation systems remain
formidable impediments to the sustainable growth of our cities. Next generation Intelligent …
formidable impediments to the sustainable growth of our cities. Next generation Intelligent …
Adaptive traffic signal control model on intersections based on deep reinforcement learning
Controlling traffic signals to alleviate increasing traffic pressure is a concept that has
received public attention for a long time. However, existing systems and methodologies for …
received public attention for a long time. However, existing systems and methodologies for …
Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities
The rapid growth in the number of vehicles has led to traffic congestion, pollution, and
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …
Evaluation of an adaptive traffic control technique with underlying system changes
RH Smith, DC Chin - Proceedings of the 27th conference on Winter …, 1995 - dl.acm.org
A key problem in traffic engineering is the optimization of the flow of vehicles through a given
road network. Improving the timing of the traffic signals at intersections in the network is …
road network. Improving the timing of the traffic signals at intersections in the network is …
Network multiscale urban traffic control with mixed traffic flow
Q Guo, XJ Ban - Transportation research part B: methodological, 2024 - Elsevier
Urban traffic control (UTC) is inherently multiscale in both temporal and spatial domains.
With the wide deployment of connected and automated vehicles (CAVs), data is increasingly …
With the wide deployment of connected and automated vehicles (CAVs), data is increasingly …
A physical testbed for intelligent transportation systems
Intelligent transportation systems (ITSs) and other smart-city technologies are increasingly
advancing in capability and complexity. While simulation environments continue to improve …
advancing in capability and complexity. While simulation environments continue to improve …
Multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (MARLIN-ATSC): methodology and large-scale application on downtown …
S El-Tantawy, B Abdulhai… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Population is steadily increasing worldwide, resulting in intractable traffic congestion in
dense urban areas. Adaptive traffic signal control (ATSC) has shown strong potential to …
dense urban areas. Adaptive traffic signal control (ATSC) has shown strong potential to …
Operational performance evaluation of adaptive traffic control systems: A Bayesian modeling approach using real-world GPS and private sector PROBE data
ZH Khattak, MJ Magalotti… - Journal of Intelligent …, 2020 - Taylor & Francis
This evaluation ascertained the operational impacts of the SUTRAC (Scalable Urban Traffic
Control) Adaptive Signal Control Technology (ASCT) in an urban corridor consisting of 23 …
Control) Adaptive Signal Control Technology (ASCT) in an urban corridor consisting of 23 …
DRL-TP3: A learning and control framework for signalized intersections with mixed connected automated traffic
The emerging connected and automated vehicle (CAV) technologies offer new opportunities
for urban signalized intersection management. Through wireless communication and …
for urban signalized intersection management. Through wireless communication and …