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CWI June 2011, Josef Noll DnD - Computer Society - MemberMeeting - June 2011 Potential and Value of opening Traffic Data represented by: Josef Noll, Professor University of Oslo/UNIK [email protected] on behalf of the Center for Wireless Innovation Norway CWI Norway (http://cwin.no) tirsdag 7. juni 2011

Potential and Value of opening Traffic Data

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The value of opening up you business for collaboration is demonstrated using examples from traffic. Our goal is to demonstrate the "Integrated Operations (IO)" is the new way of working together, the way where companies bring their assets into a common business operation. The oil & gas industry in Norway has joined under the IO umbrella, but it is applicable to other areas. The presentation shows examples from traffic like TomTom Life, Flight information, Train information as inputs for Open Data. The examples provided from Oslo show that delays costs as much as 95 MNOK/month and in Germany as much as 250 MEuro/day, thus connecting people has the potential of reducing these costs. An example of using open data for the Oslo Airport Gardermoen (OSL) suggests that the value of these open data accounts for more than 5.7 billion NOK/year (680 million EUR/year).

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Page 1: Potential and Value of opening Traffic Data

CWI

June 2011, Josef Noll

DnD - Computer Society - MemberMeeting - June 2011

Potential and Value of opening Traffic Data

represented by:Josef Noll, Professor

University of Oslo/[email protected]

on behalf of theCenter for Wireless Innovation Norway

CWI Norway (http://cwin.no)

tirsdag 7. juni 2011

Page 2: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

Content

• Traffic data = transport data• Examples of open transport data

– OpenStreetMap - Transiki - Zürich – TomTom Life– Flight information– JBV train information

• The value of open (traffic) data• Privacy aspects• Conclusions

2

tirsdag 7. juni 2011

Page 3: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

Map comparison

3

Google maps

Norgeskart

OpenStreetMap

tirsdag 7. juni 2011

Page 4: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

From OpenStreetmap to Transikito Bing• Transiki, open transport data on OpenStreetMap• Goal: online information on trains, bus, tram

4

23Nov2010, opengeodata.org

• Steve Coast • founder of

OpenStreetMap

tirsdag 7. juni 2011

Page 5: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

Flight information• Search engines to use open transport data• Value for customers @OSL: > 5.700.000.000 NOK/year

5

average 10 destinations

Oslo-Stockholm

– OSL: 19 Mio passengers in 2010

– Search engines provide price, time, convenience

– assumed price advantage 300 kr/trip

[travelmarket.no]

tirsdag 7. juni 2011

Page 6: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

“Integrated Operations” in transport

• Missing: Integrated transport– “From Oslo to

Svolvær with train, flight, boat, bus”?

– combined travel Haugenstua to Mainz (flight & train)

6

[Wikipedia]

tirsdag 7. juni 2011

Page 7: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

“Integrated Operations” in transport

• Missing: Integrated transport– “From Oslo to

Svolvær with train, flight, boat, bus”?

– combined travel Haugenstua to Mainz (flight & train)

6

[Wikipedia]

tirsdag 7. juni 2011

Page 8: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

Online traffic• Example: TomTom• TomTom HD traffic in Nov 2007

using Vodafone network data in NL

• TomTom Live in Oct 2010 – using Telenor SIM in the Nordic Market– update every 2nd minute

• API for 3rd party– Antenne Bayern: “more accurate”

7

tirsdag 7. juni 2011

Page 9: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

Value for companies• Travel planning

– fastest way to customer– prediction of arrival time– optimize

• Integration into business– with privacy function

8

Traffic Berlin

Traffic Zürich

costs: 250 MEuro/day in DE [Focus.de]

tirsdag 7. juni 2011

Page 10: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

And this is what we have all waited for:

• Police uses TomTom data to optimise radar

9

source: http://02mydafsoup-01.soup.io/post/130306404/Das-Gesch-ft-mit-den-Verkehrsdaten, 9. May 2011

9. May 2011

tirsdag 7. juni 2011

Page 11: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

Costs of delay

10

integrated

communication?

SocialTainment

tirsdag 7. juni 2011

Page 12: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

Jernbaneverket - open data• SIRI - real time information

– available now• CPS central positioning

system (Feb 2011, >250 trains in 2011)– BaneEnergy 1/minute– NSB 1/second– CargoNet 1/5min

11

m.jbv.no

[source: JBV & Thomas Ekdahl]

tirsdag 7. juni 2011

Page 13: Potential and Value of opening Traffic Data

The Center for Wireless Innovation Norway - CWIN.no - Enabling Collaborative Research

CWI

June 2011, Josef Noll

What is missing:

SocialTainment

• “With whom to travel?” • Share data?• Trust-based privacy• Information and your

social life – Entertainment – Infotainment – Socialtainment

12

Context Roles

Preferences

Identities

Topic

My trust network

0.90.90.5

0.30.9

Thanks to Vladimir Oleshchuk for ideas and discussions

4. PR OPOSE D F R A M E W O R K

This chapter elaborates the proposed cloud based Internet of Things framework. Figure 2 illustrates the

proposed framework that contains the following four layers: Node layer, Network layer, Middleware

layer and Application layer. A brief overview of each layer is as follows.

Node layer Node layer contains hundreds of nodes such as devices, sensors and actuators distributed

over the whole railway infrastructure. Some of them are very small in size having limited battery capacity

and are used for collect and forward data only, e.g. the temperature sensors. Some of the devices can

aggregate and filter data. The nodes deliver collected data to the middleware layer and some of them

receive feedback or suggestions from the middleware layer and thereby can perform actions, e.g. actuate a

mechanical device.

Network layer In order to communicate, each node is equipped with one or multiple communication

interfaces. Some of the nodes work alone, while some other work in a group. Nodes working in a group

may form a network within themselves and such network can be permanent or ad-hoc one. The

middleware layer may supervise the formation of the network by defining its characteristics for example

its topology, interconnectivity etc.

Middleware layer It contains computing machines containing powerful hardware and software

components. The middleware layer communicated with application interfaces. Depending on the

F igure 2. The layered representation of the proposed framework.

4. PR OPOSE D F R A M E W O R K

This chapter elaborates the proposed cloud based Internet of Things framework. Figure 2 illustrates the

proposed framework that contains the following four layers: Node layer, Network layer, Middleware

layer and Application layer. A brief overview of each layer is as follows.

Node layer Node layer contains hundreds of nodes such as devices, sensors and actuators distributed

over the whole railway infrastructure. Some of them are very small in size having limited battery capacity

and are used for collect and forward data only, e.g. the temperature sensors. Some of the devices can

aggregate and filter data. The nodes deliver collected data to the middleware layer and some of them

receive feedback or suggestions from the middleware layer and thereby can perform actions, e.g. actuate a

mechanical device.

Network layer In order to communicate, each node is equipped with one or multiple communication

interfaces. Some of the nodes work alone, while some other work in a group. Nodes working in a group

may form a network within themselves and such network can be permanent or ad-hoc one. The

middleware layer may supervise the formation of the network by defining its characteristics for example

its topology, interconnectivity etc.

Middleware layer It contains computing machines containing powerful hardware and software

components. The middleware layer communicated with application interfaces. Depending on the

F igure 2. The layered representation of the proposed framework.

tirsdag 7. juni 2011

Page 14: Potential and Value of opening Traffic Data

CWI

September 2010, Josef Noll 13

Conclusions

• Costs for delays– Oslo: 95 MNOK/month (BI)– DE: 250 MEuro/day (focus)

• The value of open data– OSL: > 5.7 BNOK/year– Economy?

• Integrated Transport Data– for Norway

• Open Issues– trust-based privacy– SocialTainment

Collaborative Radio & Operation, the driver for cost-effective future wireless broadband networks

tirsdag 7. juni 2011