Some general models of traffic flow in an isolated network
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Methods in The Applied Sciences"
DOI: 10.1002/mma.4278
Abstract: Starting form basic principles, we obtain mathematical models that describe the traffic of material objects in a network represented by a graph. We analyze existence, uniqueness, and positivity of solutions for some implicit models. Also,… read more here.
Keywords: traffic; network; flow isolated; general models ... See more keywords
Robustness Analysis of Discrete State-Based Reinforcement Learning Models in Traffic Signal Control
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DOI: 10.1109/tits.2022.3221107
Abstract: With the growing traffic congestion problem, more and more deep reinforcement learning (DRL) methods have been applied in traffic signals control(TSC). But researches show that DRL is very fragile with abnormal data. In this paper,… read more here.
Keywords: reinforcement learning; control; traffic; models traffic ... See more keywords
Machine Learning Models for Traffic Prediction on Arterial Roads Using Traffic Features and Weather Information
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DOI: 10.3390/app142311047
Abstract: This study addresses the challenges of predicting traffic flow on arterial roads where dynamic behaviours such as passenger pick-ups, vehicle turns, and parking interruptions complicate forecasting. The research develops and evaluates unidirectional and bidirectional Long… read more here.
Keywords: models traffic; learning models; machine learning; prediction ... See more keywords