Technologies for Sustainable & Attractive European Rail Freight

IP Coordinator: Norbert Kahl - DB AG

Overview


Topic:
S2R-OC-IP5-01-2015
Total Project Value:
€ 999 598,75
Duration:
from 01/10/2016 to 30/09/2019
S2R (Of H2020) co-funding:
€ 999 598,75
Coordinator:
Danijela Ristic-durrant
UNIVERSITAET BREMEN
Complementary projects:

Objective

The main goal of SMART project is to increase the quality of rail freight, as well as its effectiveness and capacity, through the contribution to automation of railway cargo haul at European railways. Two SMART working streams are:

  • Development of a prototype of an autonomous obstacle detection system,
  • Development a real-time marshalling yard management system.

The SMART prototype solution for obstacle detection will provide prototype hardware and software algorithms for obstacle detection, as well as standardised interfaces for integration into ATO module. The system will combine two night vision technologies, thermal camera and image intensifier, with multi stereo vision system and laser scanner in order to create fusion system for short (up to 20 m) and long range ( up to 1000 m) obstacle detection during day and night operation, as well as during operation in impaired visibility. By this planned fusion of sensors, the system will be capable, beside reliable detection of obstacles up to 1000 m, to provide short range (< 200 m) wagon recognition for shunting operations.

The SMART real-time marshalling yard management system will provide optimisation of available resources and planning of marshalling operations in order to decrease overall transport time and costs associated with cargo handling. The yard management system will provide real time data about resources available over open and TAF/TSI standard data formats for connection to external network systems and shared usage of marshalling yards between different service providers.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No: 730836