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Thursday, May 24, 2007 Mapping Traffic FlowNew trafficking software will enable drivers to find the quickest route to their final destination.
Drivers are always searching for the fastest route--whether they are traveling home on a busy Friday afternoon or rushing to the airport for an early-morning flight. Now Tele Atlas, a Boston-based company that provides digital maps and navigational content, has integrated new trafficking software into its map database so that drivers can find the most optimal route based on speed rather than distance--for any stretch of road at any hour of any day of the week. "It's like having an experienced cab driver with you all the time who knows which roads to avoid to find the most time-saving route," says Jerry Kim, director of global dynamic content at Tele Atlas. The software was developed by Inrix, a startup based in Kirkland, WA, that provides real-time and predictive traffic information. The software determines the average speed of roadways across the United States based on two years of historical traffic-speed data collected from commercial fleet vehicles; it uses real-time global positioning software and road sensors from the department of transportation. These billions of data points are then run through proprietary software to create a table of historical traffic patterns based on the hour of the day and the day of the week. The table contains 168 attributes--24 hours for each of the seven days in a week--and each of the attributes has an average speed that is linked to a road segment, which is identified by a traffic messaging code. The traffic messaging code is embedded into Tele Atlas's maps. When drivers input their starting position and their end position, their navigational device creates a routing algorithm that pulls the traffic messaging codes and then looks up these codes in the data table to identify the average speed of the roadways. This speed is applied to the algorithm, and a color-coded display--in green, yellow, red, or black--of the road segments appears on the device's screen. For instance, the color green indicates a wide-open road, whereas black indicates stop-and-go traffic. Drivers can also view the highways of an entire city to determine which typically move the fastest. (Click here for an animation of traffic flow). "I can tell you that at 3 P.M. on Friday on a certain stretch of road in Detroit, traffic is typically flowing at 35 miles per hour--and we have done that for almost a million miles of road across the country," says Bryan Mistele, the founder and CEO of Inrix. By integrating this information into its map database, Tele Atlas enables drivers, who want to do things like estimate their time of arrival, to get a much more accurate answer than what is available now. |
A Smarter Car
07/06/2007



Comments
fiberman on 05/24/2007 at 1:30 AM
39
Garbage in - garbage out!
jwoodside on 05/24/2007 at 3:31 AM
5
Troubadour on 05/30/2007 at 3:46 AM
2
dirkatbold on 05/24/2007 at 3:44 AM
1
The use of historical data to predict where it is going to be busy on the road is only useful for people driving roads not familiar to them. People who drive the same roads everyday know when it gets busy where and will not need the information.
Also, the historical information does not allow for spotting real-time traffic incidents and it is often these incidents that cause the traffic jams in the first place. It seems that the systems under disussion are not set up to spot such incidents.
TomTom, a manufacturer of navigation devices, is testing a system in the Netherlands in co-operation with Vodafone: they claim their system can identify traffic conditions in real time by using tracking the flow of mobile phones. By superimposing this data on the road network, they claim their system can make good guesses on where traffic flows and where traffic does not. They use the location and movement of mobile phones as a proxy to assess road conditions and use this information to give customers route planning advice. How useful this is remains the question, because, as for the systems discussed in the article, escape-route alternatives are scarce and clock-up quicky if too many people make use of re-routed suggestions.
jezemine on 05/25/2007 at 2:26 PM
1
obviously using data like this in routing algorithms will be more accurate than blindly using speed limit data on a freeway that's congested every afternoon.
Silacon on 05/30/2007 at 10:26 AM
33
Charlie