Recursive least-squares temporal difference learning for adaptive traffic signal control at intersection
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3066-9
Abstract: This paper presents a new method to solve the scheduling problem of adaptive traffic signal control at intersection. The method involves recursive least-squares temporal difference (RLS-TD(λ)) learning that is integrated into approximate dynamic programming. The… read more here.
Keywords: intersection; traffic; traffic signal; adaptive traffic ... See more keywords
A Deep Adaptive Traffic Signal Controller With Long-Term Planning Horizon and Spatial-Temporal State Definition Under Dynamic Traffic Fluctuations
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2974885
Abstract: This study proposes a new adaptive traffic signal control scheme to effectively manage dynamically fluctuating traffic flows through intersections. A spatial-temporal representation of the traffic state at an intersection has been designed to efficiently identify… read more here.
Keywords: adaptive traffic; term; spatial temporal; state ... See more keywords
Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3173490
Abstract: Nowadays, multiagent reinforcement learning (MARL) have shared significant advances in the adaptive traffic signal control (ATSC) problems. For most of the researches, agents are all isomorphic, which disregards the situation in which isomerous intersections cooperative… read more here.
Keywords: traffic signal; reinforcement learning; adaptive traffic; hdqn ... See more keywords
Adaptive Traffic Signal Control With Deep Reinforcement Learning and High Dimensional Sensory Inputs: Case Study and Comprehensive Sensitivity Analyses
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3179893
Abstract: Despite the constant rise in global urban populations and subsequent rise in transportation demand, significant expansion of infrastructure has been hampered by the constraints of space, cost, and environmental concerns. Therefore, optimizing the efficiency of… read more here.
Keywords: traffic signal; reinforcement learning; reinforcement; adaptive traffic ... See more keywords
Adaptive Traffic Signal Control Model on Intersections Based on Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Advanced Transportation"
DOI: 10.1155/2020/6505893
Abstract: 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 controlling traffic signals are insufficient for addressing the problem.… read more here.
Keywords: traffic; traffic signal; adaptive traffic; control ... See more keywords
Multi-Agent Adaptive Traffic Signal Control Based on Q-Learning and Speed Transition Matrices
Sign Up to like & getrecommendations! Published in 2025 at "Sensors"
DOI: 10.3390/s25237327
Abstract: Advancements in technology and the emergence of vehicle-to-everything communication encourage new research approaches. Continuously sharing data through the onboard unit, connected vehicles (CVs) have proven to be a valuable source of real-time microscopic traffic data.… read more here.
Keywords: traffic signal; transition matrices; speed transition; adaptive traffic ... See more keywords