Onboard Model-based Prediction of Tram Braking Distance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00342364" target="_blank" >RIV/68407700:21230/20:00342364 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.ifacol.2020.12.2006" target="_blank" >https://doi.org/10.1016/j.ifacol.2020.12.2006</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2020.12.2006" target="_blank" >10.1016/j.ifacol.2020.12.2006</a>
Alternative languages
Result language
angličtina
Original language name
Onboard Model-based Prediction of Tram Braking Distance
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TH03010155" target="_blank" >TH03010155: Intelligent public transport using V2X</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the IFAC World Congress 2020
ISBN
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ISSN
2405-8963
e-ISSN
2405-8963
Number of pages
6
Pages from-to
15047-15052
Publisher name
IFAC
Place of publication
Laxenburg
Event location
Berlín
Event date
Jul 11, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000652593600295