A New Method To Generate Random Trains Compliant With Uic 421



Luciano Cantone*
University of Rome “Tor Vergata” – Department of Engineering for Enterprise “Mario Lucertini”, via del Politecnico, 1, 00133Rome-Italy

Abstract

Background:

Random generation of trains is an important topic for risk assessment of new train composition, which is of particular interest in this period in Europe.

Introduction:

This paper illustrates a new method to generate random trainsets, compliant with UIC CODE 421, which is the common standard followed by Railway Undertakings in Europe for international freight traffic.

Methods:

In fact, there are several studies on new types of trains with distributed traction/braking that requires a statistical assessment of Longitudinal Train Dynamics (LTD).

Results:

Results reported in this paper show that the new method represents more accurately the target payload distribution of real wagons, with respect to the standard method currently proposed by the UIC CODE 421.

Conclusion:

The new algorithm is suitable for the revision of UIC 421, as a novel way to generate random trains.

Keywords: Freight trains, UIC CODE 421, Random trains generation, Longitudinal train dynamics (LTD), Statistic analysis, TrainDy.


Abstract Information


Identifiers and Pagination:

Year: 2018
Volume: 12
Publisher Item Identifier: EA-TOTJ-2018-3

Article History:

Received Date: 27/01/2018
Revision Received Date: 14/03/2018
Acceptance Date: 24/03/2018
Electronic publication date: 29/03/2018
Collection year: 2018



* Address correspondence to this author at the University of Rome “Tor Vergata” – Department of Engineering for Enterprise “Mario Lucertini”, Via del Politecnico, 1, 00133 Rome-Italy; E-mail: Luciano.Cantone@uniroma2.it