Onboard Model-based Prediction of Tram Braking Distance
Title | Onboard Model-based Prediction of Tram Braking Distance |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Do, Loi, Ivo Herman, and Zdeněk Hurák |
Month | 2020 |
Conference Location | Berlin, Germany |
Abstract | In this paper, we document a design of a computational method for an onboard prediction of a breaking distance for a city rail vehicle—a tram. The method is based on an onboard simulation of tram braking dynamics. Inputs to this simulation are the data from a digital map and the estimated (current) position and speed, which are, in turn, estimated by combining a mathematical model of dynamics of a tram with the measurements from a GNSS/GPS receiver, an accelerometer and the data from a digital map. Experiments with real trams verify the functionality, but reliable identification of the key physical parameters turns out critically important. The proposed method provides the core functionality for a collision avoidance system based on vehicle-to-vehicle (V2V) communication. |
URL | https://www.sciencedirect.com/science/article/pii/S2405896320326409 |
DOI | 10.1016/j.ifacol.2020.12.2006 |
Conference | 21th IFAC World Congress |