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BLD-3661A. InfoSphere Streams helps Stockholm build Traffic Information System. Roger Rea rrea@us.ibm.com Erling Weibust ERLING@se.ibm.com . Haris N. Koutsopoulos hnk@infra.kth.se. Housekeeping.

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infosphere streams helps stockholm build traffic information system

BLD-3661A

InfoSphere Streams helps Stockholm build Traffic Information System

Roger Rearrea@us.ibm.com

Erling WeibustERLING@se.ibm.com

Haris N. Koutsopouloshnk@infra.kth.se

housekeeping
Housekeeping
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IBM Disclaimer

Information regarding potential future products is intended to outline our general product direction and it should not berelied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract.The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.

agenda
Agenda
  • The congestion challenge
  • Congestion control via time of day charging
  • Integration of multimodal traffic systems
slide5

Cities are now the center of urban activity

In 2007, for the first time in history, the majority of the world’s population lived in cities – 3.3 billion. By 2050, city dwellers are expected to make up 70 percent of the Earth’s total population – 6.4 billion

chronic traffic congestion creates significant impact to cities and citizens
Chronic traffic congestion creates significant impact to cities and citizens

PRODUCTIVITY & QUALITY OF LIFE

FUEL AND TIME COST

Congestion cost Americans $87 Billion in 2007 - - an increase of 50% in the past decade

Americans experienced travel delays of 4.2 Billion Hours in 2007 - - equivalent to a week of work per traveler

ENVIRONMENTAL IMPACT

ECONOMIC IMPACT

Prior to the implementation of its congestion pricing program, London traffic and CO2 emissions were 20% higher

Gross Regional Product is reduced by up to 10% as a result of transportation congestion

what is an intelligent transportation system its
What is an Intelligent Transportation System (ITS)?

“…..defined as the electronics, communications or information processing used singly or integrated toimprovethe efficiency or safety of surface transportation.”

slide8

Stockholm Congestion Tax Solution (Road User Charging) – The Background

  • A city of 14 town-sized islands
  • Too many cars, too few roads
  • Over 500,000 cars traveling into the city on weekdays
  • Population growth 20,000 per year
  • Average commute increasing 18% per year
slide9

Stockholm Congestion Tax – The Objectives

  • Reduce traffic by 10-15% on the main roads
  • Increase average speeds on streets and roads
  • Reduce emissions of hazardous pollutants and carbon dioxide
  • Inhabitants should feel that the city environment has Improved
  • More resources to public transport
slide10

Stockholm Congestion Tax Solution – The Framework

  • Charge for use of city center roads during peak business hours
  • 18 roadside control points deployed to identify and charge
  • Charge varied depending on time of day (i.e. higher during peak)
  • Transponder tags trigger automatic payment of road use fees
  • License plates photographed:
    • Identify vehicles without tags
    • Enforcement of non-payers
  • Drivers able to pay bills at local banks, over the Internet and at convenience stores
slide11

Stockholm Congestion Tax Solution – The Results

  • Traffic reduction of nearly 25%
  • 40,000 more transit passengers
  • Increased efficiency in the public bus transport operation
  • Taxi revenues increased 10-20%
  • Emission reduced by 40% in the City
  • City retailers not negatively affected
stockholm traffic information v2 0
Stockholm Traffic Information v2.0

Current System: Elegant! Beneficial!

Yet basically static

Deliver travel information

To influencebehavior in real time

Travel to Arlanda Airport?

48 min by taxi, 37 min by train

its opportunities and challenges
ITS Opportunities and Challenges

From data infrastructure to information infrastructure

kth its lab
KTH ITS Lab

NexTMC3: Next Generation Traffic Management, Communications, and Control Center for Sustainable Urban Transport

• Handle real time streaming data

• Integrate data and models

• Promote multimodal services

• Provide a testing and demonstration ground

• Provide a resource for researchers and professionals

slide16
Multimodal Data Streams

GPS

Cell-phones

Public Transport

Travel time data for fixed OD pairs

Induction loop detector data

Incidents

Road closures (road work, etc)

Pollution measurements

Weather conditions (including road conditions)

Real Time Traffic Monitoring & Information

Control

(Multimodal) Travel Planner

Traffic Management for Sustainability and Efficiency

Real Time Transformation Logic

Real Time Geo

Mapping

Real Time Speed & Heading Estimation

Real Time Aggregates & Statistics

GPS

Data

Streams

Storage

adapters

Interactive

visualization

Data

Warehouse

Web

Server

Offline

statistical

analysis

Google

Earth

slide17

Real Time Geo Mapping & Speed Estimation

GPS probe

Matching map artifact

Estimated path

Estimated speed & heading

status
Status

The lab started receiving data on 3rd December 2009

Total number of probes (Dec-April): ~ 40 million

Number of unique vehicles reporting: 1486

example trip planning
Example: Trip Planning

Travel time

from Stockholm T-Centralen

to Arlanda Airport

2 months of data

(9th Dec 2009 - 10th Feb 2010)

example monitoring
Example: Monitoring

Data from

February and March 2010

activities and next steps
Activities and Next Steps

Addition of new data sources

Validation of basic analytics

Data collected from instrumented vehicle

Speed and travel time estimation

Data fusion for traffic estimation and prediction

powered by infosphere streams
Powered by InfoSphere Streams

GPS Location mapping:

4 x86 blade servers

250,000 GPS probes per second

Mapped to 630,000 road segments

Streams delivers:

Ability to fuse structured and unstructured data types

Scalability for large urban transportation centers

Intuitive programming model

Real time delivery

Powerful

Analytics

Millions of events per second

Microsecond Latency

Traditional /

Non-traditional

data sources

ibm infosphere streams directions
IBM InfoSphere Streams directions

Front Office

WebSphereBusinessEvents

Tools

Streams Studio enhancements

Video/audio analytics

Text/unstructured analytics

Streams Processsing Language v2

Native XML support

Runtime

High Availability

Security enhancements

Unicode support

Installation enhancements

Adapters

Cognos Now

WebSphere MQ

RSS feeds

Mashup Hub

WebSphere Business Events

Oracle

SQL Server

Cognos

InfoSphere Warehouse

8BI

IBM MashupHub

Millions of events per second

Millisecond Latency

Existing business information

Data in motion

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