Convergence of approximate and packet routing equilibria to Nash flows over time

N Olver, L Sering, LV Koch - 2023 IEEE 64th Annual …, 2023 - ieeexplore.ieee.org
We consider a dynamic model of traffic that has received a lot of attention in the past few
years. Infinitesimally small agents aim to travel from a source to a destination as quickly as …

Prediction equilibrium for dynamic network flows

L Graf, T Harks, K Kollias, M Markl - Journal of Machine Learning Research, 2023 - jmlr.org
We study a dynamic traffic assignment model, where agents base their instantaneous
routing decisions on real-time delay predictions. We formulate a mathematically concise …

The price of anarchy for instantaneous dynamic equilibria

L Graf, T Harks - Mathematics of Operations Research, 2023 - pubsonline.informs.org
We consider flows over time within the deterministic queueing model of Vickrey and study
the solution concept of instantaneous dynamic equilibrium (IDE), in which flow particles …

HD‐Net: A hybrid dynamic spatio‐temporal network for traffic flow prediction

L Liu, F Wang, H Liu, S Zhu… - IET Intelligent Transport …, 2024 - Wiley Online Library
Accurately predicting traffic flow is crucial for intelligent transportation systems (ITS). In
recent years, many deep learning‐based prediction models have been widely applied in …

[PDF][PDF] Prediction Equilibria in Dynamic Traffic Assignment

M Markl - michael-markl.de
The prevailing behavior of traffic participants on today's streets highly differs from that only a
few decades ago. In the past, road users based their routing decisions mainly on physical …