Traffic data programs have long consisted of three elements: incident data, flow data and the behind-the-curtain algorithms that make all this information work smoothly together. With the emergence of multiple screen and multiple platform opportunities, though, has come the fourth element: video animation.

In the U.S., as in most markets, there is a limited supplier base for these information types. In the U.S., incident data is primarily available from a combination of public authorities and three radio broadcast organizations: ClearChannel, Westwood One and the Broadcast Traffic Consortium. Flow data is mainly sourced from Inrix, Traffic.com, TrafficCast, and AirSage. (Any organization, such as Google, is theoretically capable of creating flow data from GPS probe inputs from handsets or fleets.)

The companies with the data algorithms to process the incident and flow data into standard traffic information products are mainly limited to Inrix, Traffic.com and TrafficCast. Westwood One, which acquired Metro Traffic and Smart Route, has never created its own independent traffic data service, though it does produce and distribute traffic reports.

With the emergence of traffic video and multiple-screen traffic products and services has come the fourth element. Traffic animation is a valuable commodity in the traffic business. When it comes to monetizing traffic data, broadcast radio and television remain dominant. To better compete, suppliers of video have sought to extend their products and affiliated sponsorships to the Internet and mobile devices.

Live traffic feeds on television during rush hour are available throughout the U.S. and in most markets around the world. In the U.S., though, there are four sources of video traffic animation: Triangle Software/Beat the Traffic, The Weather Channel/WSI, Traffic.com and Westwood One/SigAlert.

Two companies are currently positioning themselves to lead the drive toward traffic-only cable channels: Triangle Software/Beat the Traffic and TangoTraffic, which uses Traffic.com animations and traffic data. Triangle Software/Beat the Traffic is in the process of suing Westwood One/SigAlert over the alleged infringement of multiple patents governing the representation of traffic data in three dimensions as well as routing and segment speed calculations – five patents in all. Also named in the lawsuit are TomTom, Volkswagen and Garmin.

Triangle/BTT, TangoTraffic and Westwood all have their sights set on three screen solutions – TV, Internet, phone – with Triangle the furthest along, followed by Tango and Westwood. The legal action, though, has both highlighted the importance of 3D traffic representations, while casting a shadow on Westwood’s prospects.

With the help of private equity group Gores Group LLC, Westwood has been assembling a traffic solution capable of serving as an alternative to dominant players ClearChannel, Inrix and Traffic.com. The company has cut distribution deals with TrafficLand (Dept. of Transportation traffic cameras) and AirSage (handset signaling data) and acquired SigAlert. In addition, the company is in the process of implementing Gewi’s traffic database system.

Westwood has been able to convert AirSage’s handset signaling information into flow data and has extended SigAlert’s reach beyond its original southern California territory. At the same time, Westwood has extended its products from television and the Internet to handsets. In spite of all this effort, Westwood is still confronting much larger and more entrenched competitors and now must contend with Triangle’s legal action.

The only good news emerging from the legal action is that it validates the value of the data processes behind traffic reporting and imaging. The bad news is it puts financial pressure on an industry still seeking to establish its validity with consumers. Sirius XM is learning the painful lesson that consumers have a limited interest in paying a monthly subscription for traffic data. The failure of the subscription model for traffic has served as a major impetus to pushing traffic into ad-sponsored monetization schemes driven by broadcast sources.

The emergence of traffic television channels, though, in the form of TangoTraffic (Comcast/Fios in the Philadelphia area) and Beat the Traffic (Time Warner in Southern California), may help to raise the profile of traffic information. With a higher profile and more revenue may come new solutions capable of delivering more timely and accurate reporting of traffic incidents on more platforms – maybe even in cars.

Conclusion:

The clash over video – both actual DOT video and animated “flyovers” – is an interesting one with significant implications for the automotive industry. Triangle Software’s video animations of traffic, which continue to see additional enhancements including 3D building representations resembling existing mobile and embedded navigation solutions, are changing the way people consume their traffic information. These images are redefining the value and usability of traffic information.

Car makers and their suppliers are still struggling to determine the most appropriate way to bring traffic video images into cars – either as still black and white images or color-coded 3D animations. At the same time, mobile device makers such as Route 66 and TomTom are making use of augmented reality to overlay traffic guidance on live video images of the road ahead or with enhanced junction views.

The resolution of Westwood’s, TomTom’s, Garmin’s and VW’s legal tussle with Triangle is less important than the business model implications of multi-screen traffic solutions and the emergence of new ways to visualize traffic information. Whatever the result it can’t help but be better than the old familiar and inferior red-green-yellow.

Further Insight:

http://bit.ly/ejAvGp - Next Gen Traffic, Navigation: Hyper Local, Global & Always On - Insight Report - Lanctot - Automotive Multimedia and Communications Service

The battle is on to capture the most and the most accurate traffic incident data on a global scale. Several strategies are being deployed to collect this information including traditional journalistic traffic reporting and a growing variety of technology-based solutions including GPS-based probe solutions or GPS Floating Vehicle Data (GFVD) from smartphone and connected PND makers and carriers to cellular network-based probes (CFVD), video cameras, mobile phone camera probes and crowdsourcing. GPS-based probe data networks are particularly popular with companies ranging from TomTom and Nokia to Inrix, Google and RIM. The significance of the emergence of probe data is the fact that any organization with connected devices, applications or vehicles on the road is a candidate for delivering probe data. The industry is facing a proliferation of probe data sources encompassing everyone from Waze, Skobbler and Navigon to OnStar, TeleNav and TeleCommunications Systems. The CFVD crowd includes TomTom, AirSage, iTIS Holdings, Cellint, Intellione, TrafficCast and a few others. The inaccuracy of probe data, GPS or otherwise, is stimulating interest in license plate scanners, tolling networks and Bluetooth roadside scanners from companies such as Bluetoad. In fact, TrafficCast has already deployed or received approval to deploy Bluetoad scanners in 20 states. The Bluetoad technology with its range of up to 200 feet picks up signals from passing Bluetooth devices which have become nearly ubiquitous in mobile devices. The beauty of Bluetooth scanners is that they can precisely identify both the roadway and speed, making them ideally suited to creating flow data. The downside, of course, as with all sensor-based sources, is the high cost of deployment – usually borne largely by local DOTs who gain access to the data – and the not infrequent failures to which they are prone. Of course, all of these solutions are only really able to act as proxies for identifying incidents as they can only identify the results and not the causes of backups. That is where cameras and observers and journalistic data from companies such as Clear Channel, Westwood One and Navteq’s Traffic.com come into the picture. Two years ago this analyst was a strong believer in the power that video could bring to the traffic data reporting and interpretation game. When I met the team at TrafficLand I came to believe that I had found the ultimate solution for the driving public: show people what the traffic disturbance is rather than tell them. TrafficLand had – and has – a near monopoly on DOT traffic camera installations, but its real value add is managing those images on the back end. TrafficLand not only captures most of the data but it also serves it up to handheld devices and Websites and, soon, to automotive head units. Alas, a lot can change in two years. Cameras do play an important role in traffic reporting and interpretation, but the cameras that are likely to make a difference are not the ones mounted along highways. Front-facing mobile phone cameras are the new frontier waiting for a clever entrepreneur. More than one industry executive has talked to me about the potential power of a network of camera probes transmitting real-time traffic camera information from the road. The user interface is a potential issue as is the required bandwidth, but what is a market changing proposition without a few challenges? There is more than one way to make such a network come to pass, these executives suggest, including everything from a dedicated dashboard camera to a smartphone-mounted device to a forward-facing camera on a PND or even the use of existing on-board cameras. Solutions already exist. Navigon has shown augmented reality navigation solutions using forward-facing cameras and Imaginyze has a lane-departure warning app based on a similar device. There is even a company, Apollo Video Technology, with an iPhone app to allow transit officials to view live video feeds from buses, trains, police cars and transit vehicles. Even the execs working on the Next Generation 911 solution for the U.S. are looking for ways to integrate video and text reporting of incident information from smartphones or other devices. It shouldn't be too long before a crowd-sourced traffic solution is introduced for smartphones that allows for the automatic uploading of photos and video stills from a dashboard perspective of traffic conditions under predetermined circumstances. To make such a crowd-sourced solution effective requires a sufficiently large and connected network of users and an automated application. In fact, it is almost shocking that neither TomTom nor Nokia have taken the leap into crowd-sourced traffic video feeds. Or is it? While I was a big fan of integrating traffic video feeds into navigation solutions two years ago, with today's emphasis on mitigating distracted driving the idea has lost significant traction. In fact, U.S. Transportation Secretary Ray LaHood is on a personal jihad to ban even voice calls while driving. Video is important and can be powerful, but the time is not right and the concepts currently in the oven - including Visteon's TrafficLand app - need more time to reach maturity. What is available today, however, is crowd-sourced traffic data from Inrix via its iPhone app (and soon on Android). The app-based Inrix system is the most complete solution, designed around one-touch incident reporting along with the ability to validate the entries of nearby drivers as well as to share the resulting data with local departments of transportation. Aha Mobile has been combining its own crowd sourced inputs with Inrix flow and Clear Channel incident data since late 2009. In fact, Inrix's approach stands as a model for future crowd-sourced traffic solutions with its tools for ranking participants and identifying "trusted sources" and the integration with local traffic authorities. Since June, 47 of 50 state DOTs in the U.S. have adopted Inrix's agency model for sharing this user-generated data, which the DOTs are able to view on the large screens in their traffic operations centers and then check by dispatching their own responders. Inrix says it is processing these crowd-sourced traffic feeds in real time thereby revolutionizing traffic reporting. In this way, Inrix is distancing itself from the existing competition through the integration of an entirely new source of data and a closed loop approach. The challenge for Inrix, though, is the limited size of its probe network, based on users of the downloadable iPhone app.  To have an impact Inrix, mainly seen as a white box supplier to the industry, will need a little help from its industry friends. Crowd-sourced traffic information has become the new standard and Inrix is setting the bar. Waze may claim to have the largest user population worldwide, but the company has chosen not to integrate other corroborating traffic information sources. Fusion of multiple types of data sources is a critical foundation for using crowd-sourced data, along with building  validation processes. Inrix has the largest North American population of users and has recently rolled out its apps in Europe. It is collaborating with ClearChannel in North America and other incident providers internationally for journalistic data. Crowd-sourcing of traffic data is nothing new. Crowd-sourcing by mobile phone users has been around for decades. It is only recently, though, that smartphone apps have enabled the automation of the process and, now, with Inrix's system, the integration of crowd-sourced data into local DOT traffic feeds - although Inrix traffic app users get the data right away, including inputs from nearby drivers. What is curious is that Inrix, while not the first to market with crowd-sourced traffic, is the first to take it to a level where it is integrated with official traffic feeds. While the crowd inputs are validated or rejected by other users on the network, the local DOT is also involved in the validation process. The open line of communication with local DOTs also means that real time street closings and openings can be transmitted along with incident validation. Inrix is not alone. TeleNav has a crowd-sourcing function for its app and TrafficTalk has been testing a crowd-sourced offering. Harman's Aha Mobile and competing mobile platforms will no doubt seek to bring their own offerings to market as well. Looking at the Inrix model, one has to wonder why TomTom, OnStar, ATX, Google, Nokia, RIM, TCS or TeleNav haven't moved in the same direction. OnStar has its good Samaritan function for reporting accidents, but there is no provision for instantly integrating an OnStar user-reported accident on the in-vehicle navigation/traffic display  - let alone sharing it with public authorities in real-time. The same is true for ATX. Conclusion: The automotive environment is ripe for crowd-sourced applications, which already include the reporting of speed traps (Trapster). The world of thumbs up/thumbs down, check-ins and trusted providers of reviews/data is rapidly proliferating on mobile devices and migrating into embedded automotive solutions. It is fitting that traffic information lead this migration since this form of data is of the highest relevance to drivers and rapidly changing. The power of crowd-sourcing of traffic data has the dual effect of creating a new source of incident data along with its own validation process. One of the greatest challenges to creating reliable traffic information systems is validating journalistic data inputs. The crowd is able to view live traffic data, create new data and validate that data. The next step is to open the taps to other data types from parking and gas pricing to weather and event information. Eventually, crowd-sourced video will work its way into the mix as well - and probably sooner than anyone expects. Additional insights: http://bit.ly/dniNxa - Navigation Heuristic Evaluation: Telmap5 – Schreiner – Automotive Consumer Insights http://bit.ly/95NCoW - Automotive DMB Digital Radio: Marketing Strategies an Increasing Priority – Blight – Automotive Multimedia and Communications Service http://bit.ly/dtRE5C - Automotive Telematics Services: Shifts in Pricing and Monetization Expected – Canali – Automotive Multimedia and Communications Service http://bit.ly/bwdwcW - Connected Vehicle and Vehicle Device Connectivity System Database by Feature, Region, and Price 2010 – Canali – Automotive Multimedia and Communications Service http://bit.ly/d0aLhq - Connected Vehicle Telematics: Car Maker Profiles – Canali – Aumotive Multimedia and Communications Service http://bit.ly/deumcd -# Traffic Data Quality Will Determine #Telematics Winners - Lanctot - blog - Strategy Analytics

Europe is one of the most competitive markets for traffic data and TomTom claims pan-European market leadership by virtue of its HD Traffic solution. The power of HD Traffic lies in its use of cell signaling data to identify traffic jams and notify drivers who may need to be rerouted or who may want to change their driving plans completely. This analyst is a big fan of HD Traffic, having used it in recent European travels, but the company makes a claim in its latest press announcements that raise questions about HD Traffic even as they call attention to the power of the solution. Taken along with TomTom’s Traffic Manifesto (http://bit.ly/9IHHDj) one wonders if the company is more interested in bravado than actually advancing the art and science of properly interpreting traffic data. It is no small feat for TomTom to be such a standout player in the European market. There are multiple market players in Europe with GPS probe-based solutions, cell signaling solutions and all manner of offerings based on public, private, historic and real-time data “algorithmed” into elegant predictive models. And new predictive models and routing schemes seem to emerge on a regular basis. But TomTom was first on the continent with a multi-country cell signaling solution – HD Traffic – and the company has had it in devices and in use for more than two years with admirable results. Competitors, most notably iTIS Holdings in the cell signaling space, and Nokia Navteq and Inrix with probe-based solutions, are threatening, but the TomTom HD Traffic solution, thus far, remains dominant. All three competitors also integrate other real-time and historical traffic data. At the Paris Auto Show two weeks ago, TomTom announced the release of its next generation traffic data system across Europe. Called HD Traffic 4.0, TomTom says it is the first pan-European solution to use historic, real-time and predictive traffic data to deliver the most accurate traffic navigation available. While there are other traffic providers in Europe that use cell signaling data and similar data sources and types as TomTom, the company remains the only one with its scope of market coverage and with a commercially available retail product. The company says HD Traffic 4.0 covers more of the road network and reports traffic jams with more accuracy, giving drivers the most precise traffic information in Europe. The company says existing HD Traffic customers “will experience the benefits immediately, without the need for any software upgrade.” But at this point in the TomTom press release, the company introduces a bit of murk that both shines a light on its technology and raises questions. TomTom says its real-time and predictive traffic technology “now detects traffic jams that other services are unable to:”“HD Traffic 4.0 reports traffic jams with higher accuracy, reporting up to 200% more traffic jams during rush hours than previously, in particular on urban roads.” –TomTom press release. This claim raises a host of questions about the relative merits of cell signaling data and the very definition of a traffic jam or the quality and accuracy of congestion detection. The critical determining evaluative criterion both academically (see BMW’s Qkz traffic quality standard methodology) and intuitively is: Does this traffic solution detect what I am or what I, as a driver, may experience/perceive/consider to be “congestion?” Cell signaling data, based on triangulation of handset signal strength, is some of the most powerful available traffic data for reasons related to the ubiquity of handsets and the universality of cell signaling. Anyone with a mobile handset that is within range of a cell tower is automatically transmitting location data, which can be interpolated from the cell signals. While advocates of probe data are quick to point out the low level of accuracy of this signal interpolation – perhaps as poor as 100-200 meters – suppliers continue to refine their models and algorithms. The proof is in the pudding. AirSage in the U.S., TrafficCast in China, IntelliOne in Toronto, Cellint in Israel and TomTom and iTIS Holdings in Europe have all produced usable and commercially available traffic flow solutions based on cell signaling. (In fact, the data is not just used in traffic solutions for drivers it is also used in urban planning and in the selection of locations for billboards, stores and cell towers, among numerous other applications.) In contrast, handset GPS probe data not only requires the presence of a GPS module in the handset, but also requires the user to turn the GPS receiver on. The rapid battery consumption of GPS modules guarantees that GPS based solutions, though more accurate, will necessarily be based on a smaller data set.In this context the TomTom claim breaks down two ways. Either TomTom is claiming that it is capable of detecting 3X more (+200%) traffic/congestion incidents than competing solutions on THE SAME roads, or it is claiming to detect 3X more traffic/congestion incidents because its roadway coverage is broader. Further, it appears that the claim is associated with HD Traffic 4.0, which is most likely an enhancement of the existing data interpretation algorithm. Since TomTom appears to be mainly concerned with detecting jams on major roadways, the claim is clearly associated with detecting 3X as many jams on those roads as the competition. The fundamental problem with this claim is that it exposes the single weakest aspect of cell signaling data: FALSE POSITIVES. Because of the combination of the huge volume and low accuracy of cell signaling data, the technology has always been prone to generating false positives. False positives are indications of traffic jams that, in fact, do not exist and are actually misinterpretations of the cell signaling – ie. parked cars mistaken for a jam. In this analysts’ experience, TomTom devices identify multiple jams on the roadway ahead (something not all technologies or devices are able to do) which, more often than not, disappear before the driver arrives at the identified location. In other words, it is not clear whether the multiple congestion points being reported ever really existed. Other detection technologies are equally vulnerable to false positives, but it is the volume of data and the number of false positives that uniquely distinguishes cell signaling-based solutions. To look at the TomTom claim with an even more cynical eye, it is possible to suggest that TomTom simply changed its definition of an accident in order to claim a threefold increase in reported jams. BMW’s Qkz traffic quality standard uses 50Km/h as a measure of congestion detection accuracy. If the standard were raised to 60Km/h, the number of detected points of congestion would increase in a corresponding fashion. TomTom wants to get drivers to their destinations faster by helping them avoid jams. The company claims a 15% improvement in travel time based on its technology. It is time for TomTom to close the gap in logic and explain more precisely and honestly how it is achieving travel time improvements, if it is in fact doing so. By now, most drivers know from painful experience that traffic, like a balloon, is a zero sum game – squeeze it on one side and it simply bulges out the other. It would be good to know whether TomTom’s claims are something more than hot air. Additional insights:http://tinyurl.com/2bz9zq6 - Google, Nokia and New Entrant Positioning in Automotive Infotainment - Lanctot – Automotive Multimedia and Communications Service http://bit.ly/dniNxa - Navigation Heuristic Evaluation: Telmap5 – Schreiner – Automotive Consumer Insights http://bit.ly/95NCoW - Automotive DMB Digital Radio: Marketing Strategies an Increasing Priority – Blight – Automotive Multimedia and Communications Service http://bit.ly/dtRE5C - Automotive Telematics Services: Shifts in Pricing and Monetization Expected – Canali – Automotive Multimedia and Communications Service http://bit.ly/bwdwcW - Connected Vehicle and Vehicle Device Connectivity System Database by Feature, Region, and Price 2010 – Canali – Automotive Multimedia and Communications Service http://bit.ly/d0aLhq - Connected Vehicle Telematics: Car Maker Profiles – Canali – Aumotive Multimedia and Communications Service http://bit.ly/deumcd -# Traffic Data Quality Will Determine #Telematics Winners - Lanctot - blog - Strategy Analytics

The gold standard for telematics success is daily relevance. One of the greatest challenges for companies introducing telematics systems and solutions is to bring daily relevance to their offerings. Human beings are creatures of habit, which means that driving directions are normally not required daily, gas pricing and parking choices are predetermined, and weather and news are available for free over the radio. Movie times, skiing conditions and restaurant reviews are nice to haves. But they are available from other sources – most notably mobile phones – and are an occasional not a daily information requirement. And we all hope we never have to use either automatic crash notification or roadside assistance. Traffic data, on the other hand, is something that is relevant five days a week to a substantial portion of the working public. Companies that get traffic data right have a huge competitive advantage not only in providing traffic data, but also for providing a wide range of data feeds and services. In fact, the very infrastructure required for delivering traffic data – storage and processing facilities and servers and, in some cases, broadcasting capability - is a suitable platform for providing other telematics services. For this reason, traffic data providers Inrix, ITIS Holdings, TomTom and Navteq also serve as content and service aggregators. (It is also one of the reasons for TeleCommunications Systems’ acquisition of Networks in Motion and why TeleNav has a content and services platform.) The opportunity to provide additional telematics services is the brass ring for which traffic data providers are reaching. It is for this reason these companies are seeking to bundle traffic data offerings with traffic-influenced routing, developing mobile apps for smartphones and connected navigation systems, and other initiatives focused on moving up the value chain – ultimately leading to sponsored content, reviews and location-aware advertising and promotion. The daily relevance of traffic data is a powerful elixir for delivering additional location-aware added-value services, including advertising. This is why Google, TeleNav, TCS, Nokia Navteq, RIM and TomTom are moving quickly to introduce or enhance their probe-based (handset GPS) traffic flow solutions to develop their telematics business. The winner(s) to emerge from this marketing scrum will be the company or companies with the highest quality traffic data. Traffic data quality, in turn, is determined by a handful of critical factors including data sources, integration, and delivery. (The quality and nature of the user interface is important as well, but is the responsibility of the device or service designer/manufacturer.) The determining factors within each of these areas are essential to understand: Sources: There are a handful of key sources of traffic data and they include commercial fleet (ie. taxi cabs, trucks, etc. and other types of probes such as GPS handsets, PNDs, etc.), regional departments of transport, embedded and roadside sensors, and incident or journalistic data. A handful of companies – principally TomTom, ITIS Holdings and AirSage - are translating cell tower signaling data for flow data analysis. This technology is currently deployed by both TomTom and ITIS in parts of Europe. ITIS licenses its technology to partners in Australia, Ireland, Russia, South Africa and Singapore. A North American solution has yet to be delivered. TomTom delivers its cellular flow data in HD Traffic for its connected devices in Europe, which still stands as one of the best, if not THE best, live traffic solution in the world. (It is worth noting that HD Traffic received low scores in BMW's QKZ evaluation.) Traffic flow data from these sources is valuable for many use cases and applications including showing traffic on a map and traffic-influenced routing. Journalistic data complements the flow data by providing context about the cause, location and scope of the traffic problem. This is particularly useful to receive as a traffic incident alert before leaving on a journey or to provide context when actually stuck in a traffic jam, as the driver generally can’t safely read a description about an incident while driving.Incident data come from public sources such as emergency responders, department of transportation traffic cameras, or public or private spotters that may be on the ground or observing traffic conditions from some form of aircraft. Much of incident data is public information – some of it freely available to the public - and most is freely available to commercial traffic information providers. There are some private sources, however, including radio and TV stations with their own spotters, cameras or sensors and these include companies such as ITIS Holdings, SmartRoute, Traffic.com and ClearChannel. ClearChannel and ITIS Holdings have emerged as the dominant suppliers of incident data in the U.S. and U.K., respectively. The two companies have the widest market coverage and the broadest roster of clients. Of course, operating a traffic incident collection and reporter network on a national basis (much less internationally) can be extremely expensive and unprofitable, and companies such as Westwood One and Traffic.com operate under the pressure of that expense. Not surprisingly, ClearChannel and ITIS are also distinguished in applying the so-called QKZ traffic quality assessment standards to their solutions. QKZ, which is the name of the index used to evaluate traffic data, is the standard applied by BMW in evaluating different traffic solutions. BMW recently selected MILE Traffic and Travel (ITIS, Infoblu, Mediamobil consortium) to provide a pan-European traffic solution. BMW is already partnered with ClearChannel in the U.S. for their RDS-TMC solution. It is important to note those elements of the traffic data picture that are global in nature vs. local and to make a distinction between flow data and incident data. There are thousands of local sources of incident data and there are local aggregators of that data, but incident data is fundamentally a regional phenomenon. Flow data, in contrast, is ruled by systems that can be applied globally. There are five providers of flow data currently operating across borders and these are ITIS, Inrix, Nokia Navteq, TomTom and TrafficCast. ITIS is unique in using a licensing model. TomTom has yet to find a customer in the automotive or mobile device market for its flow data. TrafficCast has a handful of customers. And Inrix and Navteq currently compete for contracts in North America and Europe. Car makers are most interested in identifying global solutions, while navigation device makers and mobile application developers are content with regional solutions.  Companies such as Waze, Aha Mobile and TrafficTalk are attempting to open up a new channel of user-reported incident data. But the industry is still seeking to determine how to evaluate the quality of these ad hoc sources and integrate their inputs. Integration: The process of data integration produces a picture of traffic flow including not only real-time traffic flow or speeds but also a predictive model based on both historical and real-time data sources. This information is critical for determining accurate travel and arrival times as well as routing or re-routing.The five leading flow data companies distinguish themselves by their processes for integrating and manipulating traffic data, vetting sources and interpreting the different inputs. A virtual duopoly exists between Inrix and Navteq in the U.S. The European market is rapidly evolving from regional traffic providers to pan-European aggregators. TomTom has developed its proprietary HD traffic in a handful of countries, but is only deployed with its own smartphone and connected PND solutions. Navteq has a solution in place with Garmin, but has limited European coverage. Inrix and MILE Traffic and Travel appear to be emerging as powerful challengers in Europe. Delivery: The last link in the chain is delivery and this is the area experiencing the greatest degree of technological change. The most widespread platform for communicating traffic information is radio, but there are multiple radio-based platforms for traffic information delivery. Analog radio is the most dominant and familiar source of traffic data reports and the most widely available traffic data broadcast network in this medium is RDS-TMC. RDS-TMC is widely criticized for the limited amount of information it is capable of broadcasting in a metropolitan area and perceived delays (latency) in delivering the latest information to the embedded or portable navigation system in the car. Emerging digital radio technology enables a richer stream of traffic-related content and maintains the critical local elements. Digital radio is also a superior platform for delivering other forms of content. RDS-TMC is being replaced by TPEG technology. TPEG allows for a wider range of content, a larger volume of information and can be distributed over HD, DAB or cellular networks as it is XML-based. TPEG also encompasses arterial road coverage. Handset-based solutions are promising, though hampered by the smaller screens and challenging in-vehicle user experience associated with mobile phones. While technologies such as Nokia’s Terminal Mode offer the prospect of delivering handset traffic images to in-vehicle displays these solutions will take a few years to reach the market. Many OEMs, however, are in product development now with solutions that use handsets (or are fully integrating embedded GSM/GPRS modules in the vehicle) for sending traffic data and other telematics information to/from the vehicle. Product development is moving briskly in the handset/smartphone space and innovative solutions such as TrafficTalk and Visteon's TrafficCamJam are in the offing. But the companies creating these applications will likely require expensive voice interfaces. Public authorities will likely not accept handset-based applications in cars that require a touch screen interface while the vehicle is in motion. Part of the power of these smartphone-based applications, though, lies in the fact that they are location-aware and sharing location data even as they are reporting traffic conditions. As a result, these devices remain a wildcard in the evolution of traffic data. Sirius XM’s traffic data service in North America, based as it is on a single national stream of broadcast data to a vehicle’s navigation system, is fatally flawed. Based on this correspondent’s own experience with the Sirius feed in Mercedes and the ClearChannel feed in BMW, the lag introduced by the sequential transmission of multiple-market’s worth of traffic information down a single pipeline is the source of Sirius’ downfall. It is no coincidence that BMW offers Sirius' audio content but eschews its traffic offering. And some industry observers believe OEMs are dropping Sirius/XM traffic data services from their roadmaps for MY13 and beyond in favor of connected services over GPRS/GSM. In Sirius XM’s most recent earnings call two weeks ago the company touted its planned introduction in Q4 2011 of Satellite Radio 2.0. Presumably the company will have a fix for the timely delivery of traffic data. Conclusion: The biggest pipeline to the car of all is the embedded telecommunications module. With new embedded solutions set to launch from multiple car makers in multiple geographies over the next 2-3 years, drivers can expect to see vast improvements in traffic information quality. This is at least one reason for optimism regarding the future uptake of telematics services overall. With the emergence of both digital radio technologies worldwide and the proliferation of embedded telematics systems, the expectation is that the companies that will dominate traffic will be those with the highest quality data. What distinguishes these companies today are their processes for validating data quality. If the data is sound the daily relevance will follow as will subscribers. Further insight: http://tinyurl.com/2bz9zq6 - Google, Nokia and New Entrant Positioning in Automotive Infotainment - Lanctot – Automotive Multimedia and Communications Servicehttp://bit.ly/dniNxa - Navigation Heuristic Evaluation: Telmap5 – Schreiner – Automotive Consumer Insightshttp://bit.ly/95NCoW - Automotive DMB Digital Radio: Marketing Strategies an Increasing Priority – Blight – Automotive Multimedia and Communications Servicehttp://bit.ly/dtRE5C - Automotive Telematics Services: Shifts in Pricing and Monetization Expected – Canali – Automotive Multimedia and Communications Servicehttp://bit.ly/bwdwcW - Connected Vehicle and Vehicle Device Connectivity System Database by Feature, Region, and Price 2010 – Canali – Automotive Multimedia and Communications Servicehttp://bit.ly/d0aLhq - Connected Vehicle Telematics: Car Maker Profiles – Canali – Aumotive Multimedia and Communications Service