The role of traffic management in automated driving Siebe Turksma.

Slides:



Advertisements
Similar presentations
J. Kaiser University of Ulm Dept. Of Comp. Structures Jörg Kaiser Dept. Of Computer Structures University of Ulm And gets.
Advertisements

Road Safety Policy in the Netherlands Road safety policy in the Netherlands
Applications of Wireless Sensor Networks in Smart Grid Presented by Zhongming Zheng.
Network Topologies.
Provisional draft ICT for Independent Living and Inclusion European Commission, DG Information Society and Media E-Inclusion Unit (H3) Challenge 7.
InVANET(Intelligent Vehicular Ad Hoc Network
Smart Home Technologies CSE 4392 / CSE 5392 Spring 2006 Manfred Huber
A Distributed Smart Signal Architecture for Traffic Signal Controls Dustin DeVoe Richard Wall, PhD University of Idaho Moscow, ID USA.
SMART TRAFFIC LIGHTS by Austin Itamoto. PROBLEM  High Commuting Time  Energy Waste  Monetary Cost.
ITFVHA 2013: rough notes. Two Most Significant Developments of Past Year? 1.automaker announcements of commercial availability >>>>>>>>>>>>>>> 2.automakers.
DATA COMMUNICATION (ELA…) NETWORK TOPOLOGIES 1. O BJECTIVES Describe the basic and hybrid LAN physical topologies, and their uses, advantages and disadvantages.
The Fully Networked Car Geneva, 3-4 March 2010 Enabling Electric Vehicles Using the Smart Grid George Arnold National Coordinator for Smart Grid Interoperability.
Lecture 4: Mobile Computing
SMUCSE 8394 Devices III Surveillance Cameras. SMUCSE 8394 Surveillance of the Borders 235 different video surveillance systems currently in operation.
Sensors and Actuator Network Based Architectures and Protocols for Smart Homes Bluetooth enabled Smart Home Mark Shaw Giorgio Politano Supervisor: Mieso.
Geopositioning and Applications in Transportation GMAT9205 Students: Ellis Leung ( ) Terry Nham ( )
Ian Fraser Highways Agency Co-operative Vehicle - Highway Systems Research.
Envisioned Role for NTI Concerning ITS Deployment in Egypt by Dr. Mahmoud EL-HADIDI Professor of Telecommunications at Cairo U & Consultant at NTI 3 rd.
Adaptive Control of House Environment - Neural Network House Presented by Wenjie Zeng.
1 1 Local vs. remote intelligence A quick look at two different architecture management systems Copyright Nitrosoft 2010.
Microcontroller-Based Wireless Sensor Networks
Innovative ITS services thanks to Future Internet technologies ITS World Congress Orlando, SS42, 18 October 2011.
Distributed Computation in MANets Robot swarm developed by James Rice University.
Roadway Safety Panel How can ITS assist in bridging vehicle technology with roadway design and function?
Computer Networks. Why Create Networks? Communication Communication technologies such as , sms, video-conference can be used Makes communication.
Network Topologies Lecturer: Hyder R. Hamandi. Network Topologies Physical topologies describe how the cables are run in the network A topology is a way.
Institute for Transport Studies FACULTY OF ENVIRONMENT Human Factors Natasha Merat Associate Professor Institute for Transport Studies University of Leeds.
Highway Operations Section Technical Standards Branch Section overview.
CWNA Guide to Wireless LANs, Second Edition1 A Day in the Life of a Wireless User: Hotspots: Wireless local area network (WLAN Bluetooth wireless standard.
Sensor Data Management Due to the rapid development of internet, Web and cheaper hardware, sensor networks have become common. A sensor is a device which.
EUROCHILD Members Exchange Seminar 2007 Promoting Children’s Rights through Positive Parenting Policies FAMILIES MATTER: SUPPORTING FAMILIES IN NORTHERN.
1 / Name / Date IDA Interface for Distributed Automation The journey toward Distributed Intelligence.
Acube - An advanced monitoring system to support the assisted houses Budapest, November 12 th 2014 Paola Baruchelli.
1 Mobile ad hoc networking with a view of 4G wireless: Imperatives and challenges Myungchul Kim Tel:
The Convergence of Home Networking & Automation Vijay Dhingra Director of Product Management Echelon Corporation.
2015 Traffic Records Forum The Impact of Advanced Vehicle Technology on Traffic Records October 27, 2015 Kenneth Leonard Director, Intelligent Transportation.
INTRODUCTION TO ROBOTICS Part 1: Overview Robotics and Automation Copyright © Texas Education Agency, All rights reserved. 1.
Partnership Working Page 1 Celebrating Research and Partnership Working Conference Thursday 15 th October 2015 Dr Mashuq Ally – Assistant Director Equalities,
Internet of Things. IoT Novel paradigm – Rapidly gaining ground in the wireless scenario Basic idea – Pervasive presence around us a variety of things.
 A hub is a central connecting device in a network.  Each node is connected directly to the hub.  They receive a data packet from one node and send.
Wireless Ad Hoc Networks
Vehicle Automation at the ITF Recent Work and Future Activities Tom Voege, Transport Analyst International Transport Forum The 19 th Annual Meeting of.
SAFESPOT Project Kick off Meeting February 16 th and 17 th 2006 Rome 1 Integrated Project Co-operative Systems for Road Safety “Smart Vehicles on Smart.
CINAPTUS Technology Consulting Networking Concepts Simulating Network Communications.
1FK/WSMAY2000 European Commission Information Society DG FROM THE 4TH TO THE 5TH FP Fotis Karamitsos European Commission DG INFSO/B/5.
“The Role of Experience in Software Testing Practice” A Review of the Article by Armin Beer and Rudolf Ramler By Jason Gero COMP 587 Prof. Lingard Spring.
6 th Italian Forum on Ambient Assisted Living ForItAAL 2015 “ An Open Hardware Modular Node for Wireless Body Area Networks ” An Open Hardware Modular.
Telematics derived from the Greek words “Tele” and “matos”, Tele means (far away) and matos means (derivative of Greek word machinari), Combinedly telematics.
Connected mobility: A challenge for a traffic authority.
The City of Calgary’s Intelligent Transportation Systems and Yeatland (Yeats) Wong, P. Eng. The City of Calgary Transportation Department.
Use Wireless WiFi Home Monitoring Camera For Home Security.
Network Topologies.
SPaT Challenge Overview and Execution
SpaceFibre (and SpaceWire) At Connector Specification
Intelligent Parking Developing the technology for smarter cities Highways UK, Thursday 17th November Restricted © Siemens plc 2016 siemens.co.uk/traffic.
Cooperative Mobility Lisbon
Smart Car through IoT 라이 아샤리 리날디
Network Topologies.
DEPARTMENT OF COMPUTER SCIENCE M.TEJASWINI
We create the technology to connect the world
For further information call
Network Topologies CS 1202.
Network Topologies CS 1202.
AUTOmated driving Progressed by the Internet Of Things
AUTOmated driving Progressed by the Internet Of Things
How technology and data can bring needed improvements to air quality and the environment Dr Dave Williams 8th November 2018.
Future Vehicle-Based Alcohol Detection Systems
The Australian Government’s role in the Automated Vehicle environment
Internet of Things (IoT)
Machine Protection PLC Based System Verification and Validation Plan
Presentation transcript:

The role of traffic management in automated driving Siebe Turksma

Bottom-up optimisation?

Some guidance needed

Area wide optimisation  Bottom-up automation is not the answer, but  Intelligent vehicles work as intelligent sensors  Intelligent vehicles give new types of information  Automated vehicles will more readily accept guidance from area-wide optimisation o Better compliance  improved performance o Better compliance  new challenges for stability

Local optimisation / control  Local infra-based optimisation benefits  Optimisation criteria can be based on network policies o Network-wide o Environment  Non-automated vehicles are integrated  Local intelligence can act as conductor  Each vehicle plays it’s own part, but acts according to a common score  Local intelligence shapes conditions for safety

Early gains from limited automation – typical scenario

Early gains from limited automation – infra assisted

Evolution of Urban Traffic Control Opportunity Shaping Control (close to Fixed Time)

Evolution of local controller  From:  Device with infra-based sensors  Actuation through man-interpreted signals  Lot’s of cables, physical sensors and actuators  Difficult to configure  Expensive  (prime example: Traffic Light Controller)  To:  Network of sensors and control nodes o Traffic control o Lighting control  Cooperative communication  Communication node  Local optimisation (as part of an area network)  Self-configuring  Inexpensive  Unobtrusive