Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control [PDF]
Sensors, 2021 This paper compares the operation of a decentralized Nash bargaining traffic signal controller (DNB) to the operation of state-of-the-art adaptive and gating traffic signal control.
Maha Elouni +2 more
doaj +5 more sources
Sequence Decision Transformer for Adaptive Traffic Signal Control [PDF]
SensorsUrban traffic congestion poses significant economic and environmental challenges worldwide. To mitigate these issues, Adaptive Traffic Signal Control (ATSC) has emerged as a promising solution.
Rui Zhao +5 more
doaj +4 more sources
Real-Time Adaptive Traffic Signal Control in a Connected and Automated Vehicle Environment: Optimisation of Signal Planning with Reinforcement Learning under Vehicle Speed Guidance [PDF]
Sensors, 2022 Adaptive traffic signal control (ATSC) is an effective method to reduce traffic congestion in modern urban areas. Many studies adopted various approaches to adjust traffic signal plans according to real-time traffic in response to demand fluctuations to ...
Saeed Maadi +3 more
doaj +2 more sources
Adaptive traffic signal control using approximate dynamic programming [PDF]
Transportation Research Part C: Emerging Technologies, 2009 This paper presents a study on an adaptive traffic signal controller for real-time operation. The controller aims for three operational objectives: dynamic allocation of green time, automatic adjustment to control parameters, and fast revision of signal ...
Cai, C., Heydecker, B.G., Wong, C.K.
core +5 more sources
Networked Sensor-Based Adaptive Traffic Signal Control for Dynamic Flow Optimization [PDF]
SensorsWith the rapid advancement of modern society, the demand for efficient and convenient transportation has increased significantly, making traffic congestion a pressing challenge that must be addressed in the process of urban expansion.
Xinhai Wang, Wenhua Shao
doaj +2 more sources
Review of Intelligent Traffic Signal Control Strategies Driven by Deep Reinforcement Learning [PDF]
Jisuanji kexue, 2023 With the rapid growth of urban populations,the number of private cars has grown exponentially,which makes overwhelming traffic congestion problem become more and more acute.The traditional traffic signal control technology is difficult to adapt to the ...
YU Ze, NING Nianwen, ZHENG Yanliu, LYU Yining, LIU Fuqiang, ZHOU Yi
doaj +1 more source
Adaptive traffic control systems for urban networks [PDF]
Tehnika, 2017 Adaptive traffic control systems represent complex, but powerful tool for improvement of traffic flow conditions in locations or zones where applied. Many traffic agencies, especially those that have a large number of signalized intersections with high ...
Radivojević Danilo +3 more
doaj +1 more source
Cooperative Control for Signalized Intersections in Intelligent Connected Vehicle Environments
Mathematics, 2023 Cooperative control of vehicle trajectories and traffic signal phases is a promising approach to improving the efficiency and safety of transportation systems.
Anton Agafonov +2 more
doaj +1 more source
IET Smart Cities, 2023 Fixed cycle traffic lights primarily regulate road traffic, in which traffic light control systems are for specific lanes or crossings in urban areas. Also, not being appropriately installed can prolong the congestion delay and unnecessarily long wait ...
Ayush Dodia +4 more
doaj +1 more source
Economic-Driven Adaptive Traffic Signal Control
, 2022 With the emerging connected-vehicle technologies and smart roads, the need for intelligent adaptive traffic signal controls is more than ever before. This paper proposes a novel Economic-driven Adaptive Traffic Signal Control (eATSC) model with a hyper control variable - interest rate defined in economics for traffic signal control at signalized ...
Jiang, Shan +3 more
openaire +2 more sources