Deep Q-network-based traffic signal control models. [PDF]
PLoS ONE, 2021 Traffic congestion has become common in urban areas worldwide. To solve this problem, the method of searching a solution using artificial intelligence has recently attracted widespread attention because it can solve complex problems such as traffic ...
Sangmin Park +4 more
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Hierarchical reinforcement learning-based traffic signal control [PDF]
Scientific ReportsEfficient traffic light control is a critical issue in urban transportation systems. Recently, deep reinforcement learning (DRL) has gained popularity as a method for real-time traffic light control.
Jiajing Shen
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Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection [PDF]
Sensors, 2019 As traffic congestion in cities becomes serious, intelligent traffic signal control has been actively studied. Deep Q-Network (DQN), a representative deep reinforcement learning algorithm, is applied to various domains from fully-observable game ...
Daeho Kim, Okran Jeong
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A simple crowdsourced delay-based traffic signal control. [PDF]
PLoS ONE, 2020 Current transportation management systems rely on physical sensors that use traffic volume and queue-lengths. These physical sensors incur significant capital and maintenance costs.
Vinayak Dixit +3 more
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Research on optimization method for traffic signal control at intersections in smart cities based on adaptive artificial fish swarm algorithm [PDF]
HeliyonThe transportation environment of smart cities is complex and ever-changing, and traffic flow is influenced by various factors. With the increase of traffic flow in smart cities, optimizing traffic intersection signal control has become an important ...
Jingya Wei, Yongfeng Ju
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Deep Reinforcement Learning-Based Traffic Signal Control Using High-Resolution Event-Based Data [PDF]
Entropy, 2019 Reinforcement learning (RL)-based traffic signal control has been proven to have great potential in alleviating traffic congestion. The state definition, which is a key element in RL-based traffic signal control, plays a vital role.
Song Wang +4 more
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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
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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
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Design and Implementation of a Smart Traffic Signal Control System for Smart City Applications [PDF]
Sensors, 2020 Infrastructure supporting vehicular network (V2X) capability is the key factor to the success of smart city because it enables many smart transportation services. In order to reduce the traffic congestion and improve the public transport efficiency, many
Wei-Hsun Lee, Chi-Yi Chiu
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Knowledge based traffic signal control model for signalized intersection
Transport, 2012 Intelligent transportation systems have received increasing attention in academy and industry. Being able to handle uncertainties and complexity, expert systems are applied in vast areas of real life including intelligent transportation systems.
Henrikas Pranevičius, Tadas Kraujalis
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