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Traffic Information Systems

Historical, Real-Time, and Predictive Traffic Services and Technologies

Research Report

Pages
42
Deliverables
Released
2Q 2010
Product Code
RR-RTS-10
Price
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Traffic information services are evolving fast towards a combination of historical, real-time, and predictive information allowing optimized (re-)routing and reliable Estimated Time of Arrival calculations. Major navigation brands such as Nokia and Google leverage probe data from their customer base to offer free traffic updates. Smaller vendors are shifting to lifetime traffic offers bundled with the navigation device.

This study examines the different types of traffic information, traffic use cases and form factors, traffic capture methods, and connectivity technologies. Profiles of all main players are included. It describes the evolving value chain and business models, and provides traffic users and direct revenue forecasts.

What Questions Does This Report Answer?

  • What are the major trends in delivering traffic information to consumers?
  • What will affect the growth of traffic information systems?
  • What are the regional differences in traffic dissemination systems?
  • What is the status of technology for acquiring traffic data?
  • Which technologies are best positioned for future growth?
  • Who are the leading market players?
  • How will the traffic ecosystem evolve?

Who Needs This Report?

  • Automotive OEMs
  • Telematics service providers
  • Location-Based Services firms
  • Satellite radio providers
  • Digital map producers
  • Software developers
  • Application service providers
  • Traffic content aggregators
  • Government transportation organizations
  • Navigation system manufacturers
  • Venture capital firms
  • Wireless carriers

Table of Contents

  • Executive Brief

  • Executive Brief: Top-Line Forecast
  • Executive Brief: Traffic Types
  • Executive Brief: Traffic Capture Technologies
  • Executive Brief: Traffic Connectivity Technologies
  • Executive Brief: Summary and Strategic Recommendations

Section 1.
Executive Summary 2
1.1. Market Trends 2
1.2. Competitive Landscape 2
1.3. Forecasts 3

Section 2.

2.1. Traffic Information Types 5
2.1.1. Historical Traffic and Speed Profiles 5
2.1.2. Real-Time Traffic Data 6
2.1.3. Predictive Traffic Data 6
2.2. Traffic Information Use Cases 7
2.2.1. During Trip Preparation 7
2.2.2. At Any Moment Before Departure 7
2.2.3. Immediately Before Departure 7
2.2.4. While Driving 7
2.3. Traffic Information Formats 7
2.4. Device Form Factors and Market Segments 8
2.4.1. Automotive Markets - In-Dash Navigation and Fleet Management Systems 8
2.4.2. Consumer Electronics Markets 8
2.4.3. Other Mobile Devices 8
2.4.4. Mobile - Handsets 8
2.4.5. On-line Mapping Portals 8
2.4.6. Government Markets 8

Section 3.
Traffic Data Technologies 9
3.1. Traffic Sensors and Capture Methods 9
3.1.1. Fixed Road Sensors 9
3.1.2. Mobile Data Probes 10
3.1.3. Manually Collected and Journalistic Data 11
3.2. Traffic Aggregation, Processing, and Quality Control 12
3.3. Traffic Connectivity and Distribution Technologies 12
3.3.1. One-Way Broadcast Traffic Connectivity Technologies 13
3.3.2. Two-way Traffic Connectivity Technologies - Cellular 14

Section 4.
Traffic Vendors 16
4.1. ADAC 17
4.2. Aha Mobile 17
4.3. AirSage 17
4.4. Cellint 18
4.5. ClearChannel 18
4.6. Decell 18
4.7. Destia 18
4.8. Google 18
4.9. Infoblu 19
4.10. INRIX 19
4.11. Intellione 20
4.12. ITIS 20
4.13. Journey Dynamics 21
4.14. Mediamobile 22
4.15. Mygistics 22
4.16. NAVTEQ 22
4.17. PTV 23
4.18. TomTom 23
4.19. TrafficCast International 23
4.20. Trafficmaster 24
4.21. Traffic Talk 24
4.22. Waze 24
4.23. Westwood One/Metro Networks 24

Section 5.
Pricing and Business Models 25
5.1. Free Traffic Information Offers 25
5.1.1. Nokia 25
5.1.2. Google 25
5.1.3. Waze 25
5.1.4. Mapping Portals 25
5.1.5. Subsidized Traffic Offers 25
5.2. Paying Traffic Information Offers 26
5.2.1. Subscriptions 26
5.2.2. One Off Pricing Models 26
5.3. Traffic Business Models 26

Section 6.
Forecasts 28
6.1. Definitions, Assumptions, and Methodology 28
6.1.1. Definitions 28
6.1.2. Assumptions 28
6.1.3. Methodology 28
6.2. North America 29
6.3. Europe 30
6.4. Asia-Pacific 32
6.5. Rest of the World 33

Section 7.
Company Directory 36

Section 8.
Acronyms 37
Scope of Study 41
Sources and Methodology 41
Notes 41


Table 1-1, Traffic Users by Form Factor, World Market, Forecast: 2010 to 2015
Table 1-2, Traffic End User Revenues by Form Factor, World Market, Forecast: 2010 to 2015
Table 3-1, Traffic Data Capture Methods Comparison, World Market, Forecast: 2010
Table 3-2, Traffic Data Connectivity Methods Comparison, World Market, Forecast: 2010
Table 4-1, Traffic Data Vendor Customers, World Market, Forecast: 2010
Table 7-1, Traffic Users by Form Factor, North America, Forecast: 2010 to 2015
Table 7-2, Traffic End User Revenues by Form Factor, North America, Forecast: 2010 to 2015
Table 7-3, Traffic Users by Form Factor, Europe, Forecast: 2010 to 2015
Table 7-4, Traffic End User Revenues by Form Factor, Europe, Forecast: 2010 to 2015
Table 7-5, Traffic Users by Form Factor, Asia-Pacific, Forecast: 2010 to 2015
Table 7-6, Traffic End User Revenues by Form Factor, Asia-Pacific, Forecast: 2010 to 2015
Table 7-7, Traffic Users by Form Factor, RoW, Forecast: 2010 to 2015
Table 7-8, Traffic End User Revenues by Form Factor, RoW, Forecast: 2010 to 2015
Chart 1-1, Traffic Users by Form Factor, World Market, Forecast: 2010 to 2015
Chart 1-2, Traffic End User Revenues by Form Factor, World Market, Forecast: 2010 to 2015
Chart 6-1, Traffic Users by Form Factor, North America, Forecast: 2010 to 2015
Chart 6-2, Traffic End User Revenues by Form Factor, North America, Forecast: 2010 to 2015
Chart 6-3, Traffic Users by Form Factor, Europe, Forecast: 2010 to 2015
Chart 6-4, Traffic End User Revenues by Form Factor, Europe, Forecast: 2010 to 2015
Chart 6-5, Traffic Users by Form Factor, Asia-Pacific, Forecast: 2010 to 2015
Chart 6-6, Traffic End User Revenues by Form Factor, Asia-Pacific, Forecast: 2010 to 2015
Chart 6-7, Traffic Users by Form Factor, RoW, Forecast: 2010 to 2015
Chart 6-8, Traffic End User Revenues by Form Factor, RoW, Forecast: 2010 to 2015


13 Tables

Registered users can view table structure by clicking on the table title. Register now or Log in.
1-1
Traffic Users by Form Factor, World Market, Forecast: 2010 to 2015
1-2
Traffic End User Revenues by Form Factor, World Market, Forecast: 2010 to 2015
3-1
Traffic Data Capture Methods Comparison, World Market, Forecast: 2010
3-2
Traffic Data Connectivity Methods Comparison, World Market, Forecast: 2010
4-1
Traffic Data Vendor Customers, World Market, Forecast: 2010
7-1
Traffic Users by Form Factor, North America, Forecast: 2010 to 2015
7-2
Traffic End User Revenues by Form Factor, North America, Forecast: 2010 to 2015
7-3
Traffic Users by Form Factor, Europe, Forecast: 2010 to 2015
7-4
Traffic End User Revenues by Form Factor, Europe, Forecast: 2010 to 2015
7-5
Traffic Users by Form Factor, Asia-Pacific, Forecast: 2010 to 2015
7-6
Traffic End User Revenues by Form Factor, Asia-Pacific, Forecast: 2010 to 2015
7-7
Traffic Users by Form Factor, RoW, Forecast: 2010 to 2015
7-8
Traffic End User Revenues by Form Factor, RoW, Forecast: 2010 to 2015
1 Charts
  • Traffic Users by Form Factor, World Market, Forecast: 2010 to 2015
4 Figures
  • AirSage WiSE Traffic Technology Diagram 17
  • INRIX Total Fusion Technology Diagram 20
  • ITIS TrafficScience Traffic Technology Diagram 21
  • Journey Dynamics MyDrive Technology Diagram 22