Urban Arterial Signal Coordination Using Spatial and Temporal Division Methods by Lei Feng, Xin Zhao, Haobo Lin, Rui Li

“…Traffic signal coordination on urban arterials often requires that timing plans be divided either spatially into clusters of signalized intersections or temporally as time-of-day-based plans. …”
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Research on the Application of Reinforcement Learning in Traffic Flow Prediction by Hu Yiquan

“…The paper provides a detailed review of the latest developments in Deep RL in the field of TFP, including the application of Q-learning and its variants in traffic signal control. Additionally, the article discusses the application of RL-based Long Short-Term Memory Networks, Graph Convolutional Networks (GCN), and Dynamic GCN in TFP. …”
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Traffic-Responsive Signal Control at Intersections Using Real-Time Data of Vehicles Connected via V2X Communication by Hyung Geun Park, Sunghoon Kim, Taehyung Kim

“…Therefore, this paper proposes a traffic signal control strategy that utilizes V2X communication data obtained from CV operations, which is called the capacity waste reduction (CWR) strategy. …”
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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…This study presents a novel framework that integrates the Spatiotemporal Graph Convolutional Network-Long Short-Term Memory (STGCN-LSTM) model for traffic flow prediction with the Proximal Policy Optimization (PPO) algorithm for dynamic traffic signal control. The STGCN-LSTM model captures complex spatiotemporal dependencies, achieving an R2 of 0.904 on the METR-LA dataset. …”
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Queue Length Estimation for Signalized Intersections under Partially Connected Vehicle Environment by Lu Wei, Jin-hong Li, Li-wen Xu, Lei Gao, Jian Yang

“…Queue length is a crucial measurement of traffic signal control at urban intersections. Conventional queue length estimation methods mostly still rely on fixed detectors. …”
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DynamicVLN: Incorporating Dynamics into Vision-and-Language Navigation Scenarios by Yanjun Sun, Yue Qiu, Yoshimitsu Aoki

“…However, real-world road conditions such as vehicle movements, traffic signal fluctuations, pedestrian activity, and weather variations are dynamic and continually changing. …”
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Filter for Traffic Congestion Prediction: Leveraging Traffic Control Signal Actions for Dynamic State Estimation by Younus Hasan Taher, Jit Singh Mandeep, Mohammad Tariqul Islam, Omer Tareq Abdulhae, Ahmed Thair Shakir, Md. Shabiul Islam, Mohamed S. Soliman

“…The method involves the use of dynamically interchangeable state transition matrices, aligned with specific traffic signal control actions. This allows for more precise predictions under varying traffic conditions and control scenarios. …”
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Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations by Konrad Biszko, Jacek Oskarbski, Karol Żarski

“…Different scenarios involving changes in traffic flow and to traffic signal configurations were analysed. While both W74 and W99 yielded satisfactory results, there were discernible disparities in the analyses. …”
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