4.8k citations · 10.4k across the 63 of their papers we have counts for
63 papers
Two-dimensional LWR model for lane-free traffic
Shrey Agrawal, Venkatesan Kanagaraj, Martin Treiber
While macroscopic models for single or multi-lane traffic flow are well established, these models are not applicable to the dynamics and characteristics of disordered traffic which…
On the calibration of stochastic car following models
Shirui Zhou, Shiteng Zheng, Martin Treiber +2
Recent experimental and empirical observations have demonstrated that stochasticity plays a critical role in car following (CF) dynamics. To reproduce the observations, quite a few…
Vessel-following model for inland waterways based on deep reinforcement learning
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-bas…
Formulation and validation of a car-following model based on deep reinforcement learning
Fabian Hart, Ostap Okhrin, Martin Treiber
We propose and validate a novel car following model based on deep reinforcement learning. Our model is trained to maximize externally given reward functions for the free and car-fo…
Self-Healing Road Networks: A Self-Organized Management Strategy for Traffic Incidents in Urban Road Networks
Markus Rausch, Stefan Lämmer, Martin Treiber
We propose a novel self-organized traffic management strategy for incidents in traffic-light-controlled road networks. During incidents, it regulates the inflow into already conges…
A Microscopic Decision Model for Route Choice and Event-Driven Revisions
Markus Rausch, Martin Treiber, Stefan Lämmer
We propose a microscopic decision model for route choice based on discrete choice theory. The correlation of overlapping routes is included in the random portions of the utility ex…