InfoSphere Streams helps Stockholm build Traffic Information System Haris N. Koutsopoulos [email protected] BLD-3661A Roger Rea [email protected] Erling Weibust.

InfoSphere Streams helps Stockholm build Traffic Information SystemHaris N. [email protected]

BLD-3661A

Roger [email protected]

Erling [email protected]

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Agenda

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

Cities are now the center of urban activityIn 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

Gross Regional Product is reduced by

up to 10% as a result of transportation

congestion

ECONOMIC IMPACT

Americans experienced travel delays of 4.2

Billion Hours in 2007 - - equivalent to a week of

work per traveler

PRODUCTIVITY & QUALITY OF LIFE

FUEL AND TIME COST

Congestion cost Americans $87 Billion in 2007 - - an increase

of 50% in the past decade

ENVIRONMENTAL IMPACT

Prior to the implementation of its

congestion pricing program, London traffic

and CO2 emissions were 20% higher

What is an Intelligent Transportation System (ITS)?

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

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

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

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

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

• Current System: Elegant! Beneficial! – Yet basically static

• Deliver travel information – To influence behavior in real time

Travel to Arlanda Airport?

48 min by taxi, 37 min by train

ITS Opportunities and Challenges

• From data infrastructure to information infrastructure

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

KTH ITS Lab

Traffic Management for Sustainability and Efficiency

• 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

GPSData

Streams

Real Time Transformation

Logic

Real Time Geo

Mapping

Real Time Speed & Heading

Estimation

Real Time Aggregates & Statistics

DataWarehouseWeb

Server

GoogleEarth

Offlinestatisticalanalysis

Interactivevisualization

Storageadapters

Matching map artifact

Estimated path

GPS probe

Estimated speed & heading

Real Time Geo Mapping & Speed Estimation

Real Time Traffic Information

Status

• The lab started receiving data on 3rd December 2009• Total number of probes (Dec-April): ~ 40 million• Number of unique vehicles reporting: 1486

Distribution of the time lag between measurement and receipt time

Probes by time of day

Spatial distribution of probes by time of day

Example: Trip Planning

Travel time

from Stockholm T-Centralen

to Arlanda Airport

2 months of data(9th Dec 2009 - 10th Feb 2010)

2 months of data(9th Dec 2009 - 10th Feb 2010)

Travel time 7.00 - 9.00 vs. 16.30 - 17.30

Example: Monitoring

Data fromFebruary and March 2010

Data fromFebruary and March 2010

Monitoring: Impact of weather

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

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

Millions of events per

second

Microsecond Latency

Traditional / Non-traditional data sources

Real time delivery

PowerfulAnalytics

IBM InfoSphere Streams directions WebSphereBusiness

Events

Existing business information

Data in motion

InfoSphere Warehouse IBM

MashupHub

8BI

ToolsStreams Studio enhancementsVideo/audio analyticsText/unstructured analyticsStreams Processsing Language v2Native XML support

RuntimeHigh Availability Security enhancementsUnicode supportInstallation enhancements

AdaptersCognos NowWebSphere MQRSS feedsMashup HubWebSphere Business EventsOracleSQL Server

Millions of events per

second

Millisecond Latency

Cognos

Front Office

All statements regarding IBM's plans, directions, and intent are subject to change or withdrawal without notice. Any reliance on these statements are at the relying party's sole risk and will not create any liability or obligation for IBM.

InfoSphere Streams sessionsTime Session Title Location

Thursday May 2010:45 AM - 11:35 AM

3666A InfoSphere Streams for Real Time Analytics in Financial Services Industry

Marriott Park Hotel, Room 14

Friday May 2109:00 AM – 09:50 AM

3661A InfoSphere Streams helps Stockholm build Ver 2.0 Traffic Control System

Marriott Park Hotel, Room 13

Friday May 2111:30 AM - 12:30 PM 

3692A InfoSphere Streams at Marine Institute of Ireland: Deep Dive

Marriott Park Hotel, IOD Mini Theatre 3

Wednesday 10AM - 6PMThursday 10AM - 5PMFriday 9AM - 2PM

Demo Room

InfoSphere Streams Demonstrations Marriott Park Hotel, IOD Demo Room Station 19

Wednesday 10:30 – 11:30Thursday 12:30 – 13:00Thursday 16:30 – 17:00

Mini Theater on Expo Floor

InfoSphere Streams in TelcoInfoSphere Streams Business InsightLeverage Warehouse, SPSS with Streams

Marriott Park Hotel, InfoSphere Mini Theater Expo Floor