exploiting c-das in the traffic management system - · pdf file1 / exploiting c-das in the...
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1 /1 /
www.thalesgroup.com
Exploiting C-DAS in the Traffic Management system
Ben Pritchard
2 /2 / The Focus of This Presentation
TMS => C-DAS Schedule and routing updates Linespeed updates in respect
of ESRs Train location requests.C-DAS => TMS Train set-up data Train location and speed Changes to Train
performance data (e.g. arising from defects)
Predicted arrival / passing times for Timing Point locations
Current Driving Support System state
Delay attribution code
Source: Functional Requirements for C-DAS, CCMS2: 63084381 v1.2, Network Rail
3 /3 / Agenda
• What is Traffic Management
• Integrating DAS with TMS
• The Future of the C-DAS and TMS integration
4 /4 / Lever frame > NX Panel > IECC > ARAMISUK Traffic Management
Lisbon OCC – delivered by Thales
Lever frame
NX Panel
IECC
A Major Business Transformation
Focus is to improve operational performance & capacity
6 /6 / Traffic Management System - Conflicts
Conflict Detection
Runs in real-time with updated plan Quicker visual identification of conflict and type
Occupancy
Availability
Connection Displayed on various screens
Conflict Resolution – 3 Modes
Manual: e.g. drag and drop on Train graph Assisted:
TMS can present possible options and user selects
User can simulate effect of change before committing it Automatic:
Based on configurable rules, e.g. location, train characteristics, conflict type
Easily activated / de-activated by user
Solutions include “change track”, “change platform”, “waiting”
7 /7 /7 Benefits Realisation – ÖBB Austria Case Study
1 Network Management Centre Traffic coordination on the network All information about the traffic situation on the network International boundaries
5 Operation Management Centres Disposition and control of traffic Regional traffic management Customer information Technical service-centre
8 /8 / Benefits Realisation – ÖBB Austria Case Study
Key Benefits
Increased Productivity Productivity of employees increased from 45,000 km per year
to 120,000 km per year (2.5 time increase)
Increased Punctuality Salzburg implemented 2009 (data 2010 to 2011)
Long distance passenger services increased by 9.5 percentage points to 82.3%
Short distance passenger services increased by 3.3 percentage points to 95.2%
Austrian network (data 2010 to 2011) All services combined increased by 2.4 percentage points to
96.6%.
Reduced Carbon Footprint 313,500 road vehicles shifted to ROLA (trailers on flat cars) in
2009 decrease of 60.000t CO2
9 /9 / Benefits Realisation – Other Examples
Key benefits
Reduced carbon foot print
Integration with driver advisory systems delivering significant energy savings . Energy saving on the trains using Lötschberg Tunnel delivering 12.4% savings
Capacity Significant capacity improvements realised e.g.
greater than 24 tph in normal service now achieved on the S-Bahn at Stuttgart
10 /10 / Model Office Overview
Thales / Network Rail Facility
Key Element within Network Rail Traffic Management Prototype activity
London based – encourage stakeholders to drop in
Extremely valuable activity in building confidence in technical solution
early stakeholder engagement
NR 3 Evaluation teams. 3 month evaluation
Several hundred visitors to the facility
11 /11 / Connected DAS
Current Situation
Investment in DAS systems is increasing; Standalone systems . e.g. First Great Western
Integrated systems. (ETCS – DAS) e.g. Lotschberg Standalone systems can deliver significant
improvements in energy efficiency , timetable adherence, driver communications & passenger perception
Value diminishes during times of disruption
TMS Integration with DAS (C–DAS)
The ability of TMS to maximise performance, capacity and energy efficiency increased through Connected DAS systems
Drive to current plan not plan at beginning of day Some disparate solutions already available Works in a Fragmented Industry
Industry sees merit of connected DAS Thales has an existing integrated demonstration in its
Model Office
12 /12 /
Traffic Management
System
DAS
Traffic Management
System
DAS
S-DAS C-DASC-DAS+
Feedback
Traffic Management
System
DAS
Types of Implementation
13 /13 / Future Development for UK
Algorithms
Open Architecture Lotschberg Tunnel using third party
algorithms to drive decision making
Utilise optimisation algorithms in TMS to feed into DAS
Automated decision making
Minimum operator engagement
DMI Integration
Convergence (?) with other DMIs
Artificial Intelligence
“Intelligent Trains” Balancing and optimising centralised
vs distributed decision making