Onboard Model-based Prediction of Tram Braking Distance. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Do, Loi; Herman, Ivo; Hurák, Zdeněk
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 15047
• Page End: 15052
• Publication Date: 2020
• Subjects: Automatic control -- optimization -- real-time operations in transportation -- Simulation -- Braking distance prediction -- Rail transport -- Mathematical modelling; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.2006
• Languages: English
• ISSNs: 2405-8963

Abstract

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.