intelligent transportation trends chpt.8 - information technology trends

Intelligent Transportation Trends and Perspectives

2011

J.D. Margulici

jdm@novavia.us

www.novaviasolutions.com

Chapter 8: Information Technology Trends

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ITS primer and brief history

State of the art

Information technology trends

Prospective and implications

J.D. Margulici

jdm@novavia.us

www.novaviasolutions.com

Intelligent Transportation

Trends and Perspectives

2011

Overview

Core computing

Location

Wireless networking

Social web

Crowd sourcing

Big data

Web technologies

Open data

Applications development

User interactions

ITS Trends and Perspectives - April 2011 3

Core computing

Moore’s law continues to deliver performance/costs improvements despite single-core limitations

Consumer electronics drive availability and lower costs for micro-sensors & digital devices

Systems on chips provide low-power, high-speed embedded capabilities

Dramatic gains in machine vision, speech technology

ITS Trends and Perspectives - April 2011 4

Location

GPS augmentation systems provide high-accuracy positioning

GPS positioning now certified for aircraft navigation and landing

Cellular networks complement GPS for positioning

Europe, China deploying their own GNSS designed for critical civilian applications

Solutions are now available for indoor / urban canyon positioning, vertical market applications

ITS Trends and Perspectives - April 2011 5

Wireless networking

ITS Trends and Perspectives - April 2011 6

4G LTE / WiMax networks now broadly available, 5 Mbps a reality

Public safety, DSRC spectrum underutilized, could benefit from cellular standards

Data-oriented transmission, virtualization can overcome cost and interoperability issues

Business models are still evolving – ongoing tension between content and channels

Social web

Social networks are transforming the traveler information landscape

Peer 2 Peer resource sharing models are spearheading new travel behaviors

Social networks offer new forms of citizen engagement in transportation planning

Web 2.0 interactions paradigm is starting to penetrate the enterprise software market

ITS Trends and Perspectives - April 2011 7

Crowdsourcing

Traveler information systems powered by system users, traffic probes

Cities are collecting residents’ needs through web-based applications

Agencies can tap wisdom of the crowd for some of their decision-making

ITS Trends and Perspectives - April 2011 8

Big data

Internet businesses have developed new tools for big, structured / unstructured data

Data mining of terabytes and petabytes are becoming common place

Mashups are complementing Extract-Transform-Load for business intelligence

ITS Trends and Perspectives - April 2011 9

Web technologies

Web services have become the norm for exchanging data and application controls

Storage, computation and applications all moving to cloud-based architectures

Ajax, Flash, HTML 5 are enabling rich browser-based applications

Software as a Service has not grown as fast as once predicted but could pick up

ITS Trends and Perspectives - April 2011 10

Open data

Google’s GTFS has set a transit revolution in motion

Gives agencies a free ride on the application layer, but new governance problems are emerging

Greater transparency is accelerating a shift to performance management

ITS Trends and Perspectives - April 2011 11

Applications development

Hundreds of thousands of iPhone / iPad, Android apps

Open source not only challenges traditional software sales, communities build great products

Free languages, IDEs, libraries, tools facilitate bottom-up development (think Google maps!)

ITS Trends and Perspectives - April 2011 12

User interactions

Touch / multi-touch / tablets offer new human-machine interaction possibilities

Speech recognition and voice commands actually work!

3D is coming to your living room –and to your Transportation Management Center next?

ITS Trends and Perspectives - April 2011 13

Intelligent Transportation Trends and Perspectives

2011

J.D. Margulici

jdm@novavia.us

www.novaviasolutions.com

Next is Chapter 9: Prospective and Implications