Multi-Agent Adaptive Traffic Signal Control Based on Q-Learning and Speed Transition Matrices. [PDF]
Majstorović Ž +3 more
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Multiscale Damage and Failure Behavior of Drainage Asphalt Mixture Under Multifactor. [PDF]
Tao X, Bai T, Fan J, Shen H, Cheng H.
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From Concrete to Code: A Survey of AI-Driven Transportation Infrastructure, Security, and Human Interaction. [PDF]
Kose NA, Kose K, Liang F.
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GEC-DTSP: A GNN-RL-based Edge-Cloud Digital Twin framework for real-time traffic forecasting and adaptive signal control. [PDF]
Alanazi F +3 more
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A feedback queueing network model for traffic signal control at intersections considering congestion propagation in dynamic stochastic environments. [PDF]
Zhao B, Ju Y, Jiao S, Yang D.
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City-scale high-resolution traffic datasets with refined networks for hierarchical traffic control. [PDF]
Ma Q +6 more
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Real-Time Traffic Simulation With a Microscopic Model
IEEE Transactions on Intelligent Transportation Systems, 2006This paper describes a microscopic model that is able to simulate traffic situations in an urban environment in real time for use in driving simulators. Two types of vehicles are considered in the simulation, namely the user-driven vehicle at the center of the simulation model and the other vehicles that interact with it and its surroundings, which ...
Jesus Felez
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Calibration of Microscopic Traffic Simulation Models
A mathematical framework and a solution approach are presented for the simultaneous calibration of the demand and supply parameters and inputs to microscopic traffic simulation models as well as a large-scale application emphasizing practical issues.
Ramachandran Balakrishna +4 more
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A Microscopic CA Model of Traffic Flow?
Cellular automaton (CA) models of traffic flow are typically constructed to reproduce macroscopic features of traffic flow. Here, a few thoughts based on real car-following data are presented that show how to construct a discrete time/discrete space microscopic model of traffic flow.
Wagner, Peter, Rummel, Johannes
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