I wish I'd brought it to CTIA: INRIX Traffic

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One of the most amazing concepts that I had a chance to hear about at
CTIA was Inrix’s "dynamic predictive traffic" system. I wish I'd brought it to CTIA- traffic in and around the Convention Center was bumper to bumper.

Although Inrix mainly develops and distributes their data for the B2B sector, they recently developed a Windows Mobile client for the end user that is compatible with both Smartphone and PPC platforms. Basically, it gathers data from thousands of various sources and then runs Bayesian statistical analysis models to identify traffic patterns. Based on this data, it is possible to actually predict where the congestion will take place, allowing a user -that's us:))- to circumvent the traffic. It also analyzes
event data (such as sports games, exhibitions, etc.), school schedules, weather forecasts, and more. Additionally, they obtain real time accident reports, road conditions, and weather conditions from Clearchannel,
a leading conditions provider. Inrix also offers real time traffic information, including speeds on major routes across the country.
Currently, Inrix is available in more than 65 major markets across the U.S., and hopes says that number will be up to full
coverage of 92 markets by the end of the year.

To download the application, head over here and browse through to the Handango download link.
Pricing is slightly on the expensive side, at $40 per subscription per year. The good news is that Inrix provides a 30 day
trial version through Handango, so you can take it for a spin before you buy it.

Although the application has a lot to offer, it's UI and presentation feel slightly primitive. IMO, however, it lets you accomplish what you need to do, and the data delivery is fairly fast.

Inrix Demo Image

Disclaimer: Many of the units/applications I review are sent to me at no charge. Sometimes I keep these, and sometimes they are loaner unit/trial applications. Whatever the case, I do my level best to remain impartial- however, we are all only human- me included:).

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