Traffic Flow Dynamics

1,144 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A geometric Brownian motion car-following model: towards a better understanding of capacity drop (2018, positive): “Readers are referred to Treiber and Kesting (2013) for descriptions on the OVM and IDM car-following model).”
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control (2017, background): “A variety of optimal velocity functions exist for use in specifying car following models [91], [55]; [69] uses a cosinebased function to define optimal velocity V (h) as a function of headway:”
Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules (2019, methodology): “In this work we use both Gipps’ (1) and IDM (2) controller from [12] as a baseline for comparison to our trained DDPG controller.”
Flow: A Modular Learning Framework for Mixed Autonomy Traffic (2017, background): “The acceleration for a vehicle modeled by IDM is deﬁned by: where H ( · ) is the desired headway of the vehicle, denoted by: where h 0 , v 0 , T, δ, a, b are given parameters.”