A data-driven dynamics simulation framework for railway vehicles

A Data-driven Method for Crowd Simulation using a Holonification Model

In this paper, we present a data-driven method for crowd simulation with holonification model. With this extra module, the accuracy of simulation will increase and it generates more realistic behaviors of agents. First, we show how to use the concept of holon in crowd simulation and how effective it is. For this reason, we use simple rules for holonification. Using real-world data, we model the...

Trust Dynamics: A Data-Driven Simulation Approach

Reputation and trust-based models have gained popularity recently because they have been shown to be promising in the area of trust management. Despite this fact, building reliable systems still remains a challenge. Proposed models focus on historical and online information to determine the reputation of domain members. However, the dynamic nature of reputation and trust requires an equally dyn...

Control for Railway Vehicles

Symbolic Multibody Methods for Real-Time Simulation of Railway Vehicles

In this work, recently developed state-of-the-art symbolic multibody methods are tested to acurately model a complex railway vehicle. The model is generated using a symbolic implementation of the principle of the virtual power. Creep forces are modeled using a direct symbolic implementation of the standard linear Kalker model. No simplifications, as base parameter reduction, partial-linearizati...

Probabilistic simulation for the certification of railway vehicles

The present dynamic certification process, built thanks to experts’ experience is essentially based on experiments. The introduction of the simulation in this process would be of great interest. However an accurate simulation of complex, non-linear systems is complicated, in particular when rare events (unstable behaviour for example) are considered. After having analysed the system and the ric...