no code implementations • 7 Jul 2022 • Fabian Hart, Ostap Okhrin, Martin Treiber
While deep reinforcement learning (RL) has been increasingly applied in designing car-following models in the last years, this study aims at investigating the feasibility of RL-based vehicle-following for complex vehicle dynamics and strong environmental disturbances.
no code implementations • 29 Sep 2021 • Fabian Hart, Ostap Okhrin, Martin Treiber
For various parameterizations of the reward functions, and for a wide variety of artificial and real leader data, the model turned out to be unconditionally string stable, comfortable, and crash-free.
1 code implementation • 14 May 2018 • Venkatesan Kanagaraj, Martin Treiber
With an adaptive cruise control (ACC) system as underlying car-following model, it becomes a controller for the acceleration and steering of autonomous vehicles in mixed or lane-based traffic.
Physics and Society
1 code implementation • 19 Mar 2014 • Martin Treiber, Venkatesan Kanagaraj
We compare four explicit methods: Euler's method, ballistic update, Heun's method (trapezoidal rule), and the standard forth-order RK4.
Computational Engineering, Finance, and Science Physics and Society
1 code implementation • 22 Dec 2010 • Martin Treiber, Arne Kesting
We present the interactive Java-based open-source traffic simulator available at www. traffic-simulation. de.
Adaptation and Self-Organizing Systems Physics and Society
2 code implementations • 18 Dec 2009 • Arne Kesting, Martin Treiber, Dirk Helbing
With an increasing number of vehicles equipped with adaptive cruise control (ACC), the impact of such vehicles on the collective dynamics of traffic flow becomes relevant.
Physics and Society
3 code implementations • 11 Feb 2000 • Martin Treiber, Ansgar Hennecke, Dirk Helbing
Combined states are observed as well, like the coexistence of moving localized clusters and clusters pinned at road inhomogeneities, or regions of oscillating congested traffic upstream of nearly homogeneous congested traffic.
Statistical Mechanics