Traffic jams: dynamics and control

By Gábor Orosz, Gábor Orosz, R. Eddie Wilson, Gábor Stépán, Gábor Stépán. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010

396 citations recorded by the source corpus.

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Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs (2020, background): “There is also a large amount of research on vehicular mobility in the literature [44], [45].”
On the Approximation of Delayed Systems by Taylor Series Expansion (2015, background): “A feedback mechanism typically involves time delays; cars following traffic models [1], delayed networks [2,3], crane payload stabilization [4], or flutter instability [5] can be mentioned as practical examples.”
Flow: A Modular Learning Framework for Mixed Autonomy Traffic (2017, methodology): “For example, in the context of traffic networks, evaluating with respect to the known human performance is restrictive; it is well known that human driving behavior induces (suboptimal) stop-andgo traffic in a wide regime of traffic scenarios [14], [15].”
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control (2017, methodology): “1) Second-order linear model: The first, and simplest, car following model implemented is the forward-looking car following model specified in [67].”