Ing. Tomáš Vicherek, Ing. Vlastimil Polach, Ph.D. Research and development Automatic Route Setting According to Train Paths in Anticipated Time Schedule.

Slides:



Advertisements
Similar presentations
Web Content Control Application Providing Secure & Reliable Internet Access December 2010.
Advertisements

Model RailRoad Manager Simulate Prototype Operations on your Railroad.
A Decision Support System for Improving Railway Line Capacity G Raghuram VV Rao Indian Institute of Management, Ahmedabad.
RELATION BETWEEN DEMAND AFTER TRAIN PATHS AND CAPACITY OF RAILWAY TRANSPORT INFRASTRUCTURE Ing. Josef Bulíček, Ph.D. Ing. Lukáš Fiala University of Pardubice,
For Personal Use Only This presentation contains copyrighted material. PLEASE DO NOT COPY OR DUPLICATE. NOT FOR COMMERCIAL USE. For Personal Use Only This.
Trap Diagnostic Facility Todays Software Diagnostic Tool with innovative features for the z/OS software developer Arney Computer Systems.
SCORT/TRB Rail Capacity Workshop - Jacksonville Florida1 1  A Primer on Capacity Principles  New Technologies  Public Sector Needs 22 September
Signal Basics. Signals: –Allow for safe operation of trains – protecting your train, other trains, and the equipment –Lets the railroad operate more efficiently.
Solutions for Scheduling Assays. Why do we use laboratory automation? Improve quality control (QC) Free resources Reduce sa fety risks Automatic data.
IRSC DUBLIN OCTOBER 2006 vue n°1 INTERNATIONAL RAILWAY SAFETY CONFERENCE Dublin 23 – 25 october 2006 CIRCULATION OF TRAM-TRAINS ON THE FRENCH NATIONAL.
Module 20 Troubleshooting Common SQL Server 2008 R2 Administrative Issues.
Materials developed by K. Watkins, J. LaMondia and C. Brakewood Rail Capacity Unit 3: Measuring & Maximizing Capacity.
©David F. Thurston, 2012, All rights reserved Capacity Implications of PTC now and in the Future David Thurston, Ph.D., P.E., FIRSE Vice President – Rail.
A Dynamic Binary Hash Scheme for IPv6 Lookup Q. Sun 1, X. Huang 1, X. Zhou 1, and Y. Ma 1,2 1. School of Computer Science and Technology 2. Beijing Key.
Fail-Safe Mobility Management and Collision Prevention Platform for Cooperative Mobile Robots with Asynchronous Communications Rami Yared School of Information.
Technical Advisor : Mr. Roni Stern Academic Advisor : Dr. Meir Kalech Team members :  Amit Ofer  Liron Katav Project Homepage :
Multiple Marine Vehile Deconflicted Path Planning with Currents and Communication Constraints A. Häusler 1, R. Ghabcheloo 2, A. Pascoal 1, A. Aguiar 1.
BRAVE University of Birmingham Railway Virtual Environment Background
Location of Signals. Considerations for Location of Signals Braking Distance Overlaps Isolation Simultaneous Reception.
CEG3185 Tutorial 7 Routers and Routing. IP Address An Internet Protocol address (IP address) is a numerical label assigned to each device (e.g., computer,
Two main requirements: 1. Implementation Inspection policies (scheduling algorithms) that will extand the current AutoSched software : Taking to account.
Tracking a moving object with real-time obstacle avoidance Chung-Hao Chen, Chang Cheng, David Page, Andreas Koschan and Mongi Abidi Imaging, Robotics and.
Dynamic Traffic Control Yishai Goldstein & Nahum Nir Computer Science & Engineering Hebrew University.
Cs238 CPU Scheduling Dr. Alan R. Davis. CPU Scheduling The objective of multiprogramming is to have some process running at all times, to maximize CPU.
Real-Time Kernels and Operating Systems. Operating System: Software that coordinates multiple tasks in processor, including peripheral interfacing Types.
Signal Control Circuit
Train Scheduling in a Main Station Area © ETH Zürich | M. Fuchsberger Martin Fuchsberger Master thesis, Final Presentation Zurich, March 15.
CPN'09, Aarhus, Denmark, October 19-21, 2009 Verification of Railway Interlocking Tables using Coloured Petri Nets * Somsak Vanit-Anunchai
Rail Related Research at IIT Madras
RAILWAY INDUSTRY TRAIN PLANNING LEVEL 2 TRAINING Module 9 - The TOCs and Network Rail.
Offline Programming to Online using IPS
Positive Train Control Labor Briefing Washington, DC December 10, 2008.
Computational Experiments Algorithm run on a Pentium IV 2.4 GHz Instances from “Rete Ferroviaria Italiana” For each station: - minimum interval between.
Asst. Prof. Dr. Mongkut Piantanakulchai
LIGHT RAIL SAFETY S t arts with You!. Light Rail Map.
Test Automation For Web-Based Applications Portnov Computer School Presenter: Ellie Skobel.
Connecting to a Network Lesson 5. Objectives Understand the OSI Reference Model and its relationship to Windows 7 networking Install and configure networking.
Introduction to the Adapter Server Rob Mace June, 2008.
Railway Operations: Issues and Objectives Capacity management Infrastructure planning Timetable preparation Management of day-to-day movement of trains.
A Joint Research Project funded under the Seventh Framework Programme (FP7) of the European Commission Innovations in Automated Planning.
Hamed Pouryousef ; Pasi Lautala, Ph.D, P.E. Hamed Pouryousef ; Pasi Lautala, Ph.D, P.E. Michigan Tech. University Michigan Tech. University PhD Candidate.
1 Distributed and Optimal Motion Planning for Multiple Mobile Robots Yi Guo and Lynne Parker Center for Engineering Science Advanced Research Computer.
Chapter 10 Chapter 10: Managing the Distributed File System, Disk Quotas, and Software Installation.
Threaded Programming in Python Adapted from Fundamentals of Python: From First Programs Through Data Structures CPE 401 / 601 Computer Network Systems.
—————————— CACI Products Company - ——————————————————— COMNET III —————————————— 1-1 Day 1 - COMNET Program Operation, Network Topology.
Scientific Debugging. Errors in Software Errors are unexpected behaviors or outputs in programs As long as software is developed by humans, it will contain.
Teleseminar Nice – Mannheim w3auction 1 W3 AUCTION Vanessa BOUCHET, Lars KLOSE, Heiko KOPITZKI, Annabelle LE SONN, Dorothée ROBERT, Gunnar WIEDENFELS.
SFTW241 Programming Languages Architecture 2002~2003 Semester II Duration: 2003/2/11~ 2003/4/11 University of Macau Faculty of Science and Technology.
City College of New York 1 John (Jizhong) Xiao Department of Electrical Engineering City College of New York Mobile Robot Control G3300:
I-270/MD 355 Simulator: An Intelligent Online Traffic Management System Dr. Gang-Len Chang Nan Zou Xiaorong Lai University of Maryland Saed Rahwanji Maryland.
Path Planning Based on Ant Colony Algorithm and Distributed Local Navigation for Multi-Robot Systems International Conference on Mechatronics and Automation.
School of Systems, Engineering, University of Reading rkala.99k.org April, 2013 Motion Planning for Multiple Autonomous Vehicles Rahul Kala Congestion.
Technical lssues for the Knowledge Engineering Competition Stefan Edelkamp Jeremy Frank.
Negotiating Intersections Chapter 10. Intersections Tips for Identifying an Intersection o Street lights and signs. o Roadway markings, such as a stop.
A new fail-safe principle for railway signaling
UNIT IV TRACK CONSTRUCTION. POINTS AND CROSSINGS Point and Crossings are peculiar arrangement used in permanent way to guide the vehicle for directional.
On-board Technologies
Poushali Pal AMIEEE, M. Tech in Information Technologies
Data Streaming in Computer Networking
A Scalable Routing Architecture for Prefix Tries
What’s New in Visual Studio 2017
Motion Planning for Multiple Autonomous Vehicles
ATO over ETCS Benoît BIENFAIT 10/2/2016.
Whistle and Horn Semaphore and Signal Lights
Euratom-Tekes Annual Fusion Seminar 2012 Janne Tuominen
Designed-in Logic to Ensure Safety of Integration and Field Engineering of Large Scale CBTC Systems Author: Fenggang Shi.
On-time Network On-chip
On-board Technologies
The MPAS project Multi-agent Pathfinding Algorithms Simulator
Railway timetabling tools with automatic solutions
Presentation transcript:

Ing. Tomáš Vicherek, Ing. Vlastimil Polach, Ph.D. Research and development Automatic Route Setting According to Train Paths in Anticipated Time Schedule for Near Future AŽD Praha, s.r.o.

Architecture Now Interlocking net GTN Server GTN Klient Intranet GTN Vital computers GTN Listen Commanding computers

Vital computers Architecture with ARS Functions Interlocking net GTN Server GTN Výhled Intranet Commanding PC GTN GTN Listen GTN Klient Commanding computers

GTN Výhled 4 Base Simulation Immediate train running Infrastructure states Automatic train route setting Mathematical Model of Anticipated Traffic Computation of conflict-free Anticipated traffic

Computation of Anticipated Traffic in GTN Výhled Choosing the tracks Static -> dynamic speed profile Occupation times Conflict detection and solution Displaying of Anticipated traffic Automatic Train Route Setting

** * * ** Marking Algorithm Static speed profile Dynamic speed profile

Running Times Time of beginning / end of physical occupation of track section V s

Train length Time for approach section Occupation time t Time for route formation Time for clearing Time for route release Journey time of occupied block interval Occupation Times

Conflict detection Each train is searching conflict: Work direction of detection algorithm of second train Station t s First detected overlap of occupation times First train Second train

Each conflict = several solutions (2 – 4) Each solution = new daughter scenario several daughter scenarios, in each: conflict detection and solution  several new scenarios, in each... Tree of scenarios Solution of Conflicts

ARS According to Train Path Interlocking states are mirrored in Base simulation „What is possible in GTN should be possible in interlocking“ => Low probability of request rejection by interlocking

Other Automatic Functions Route cancelation Time synchronization Anticipated / real departure insertion Train number  insertion, editing Individual point control Line consent request Locking the closed level crossing

Tasks to Solve Collision access to some platforms Input information  Temporary speed restrictions different infrastructure models –IS IM X GTN Výhled  Exceeded loading rate  Waiting times, rolling stock circulations

Interface to Operating Personal ARS control through JOP X GTN Possible commands:  Editing station / line track  Editing dwell / departure time  Turning ARS on / off train station controlled area  Absolute / disposition stop

ARS Behavior High traffic intelligence => most of routes set without dispatcher intervention Warning if route cannot be set Dynamic adaptation to dispatchers commands on JOP ARS with advance  enough time for route cancelation by dispatcher

Tomáš Vicherek, Thank You for Attention