Optimization of traffic flows: study software

A new project in Silicon Valley to allow commuters, before embarking on the path of access to advice on which path to follow to avoid queues. Advantages of both time and for pollution

Rome - The goal is to be able to introduce to every commuter road conditions before you even get in your car, avoid long hours in line during peak hours and traffic congestion due to accidents or highway for work in progress, suggesting an alternative route. This is the premise behind the new project announced by IBM Research, the Department of Transportation of California and the California Center for Innovative Transportation (CCIT), for the development of a research program that will allow drivers to quickly access personalized travel recommendations to help them avoid congestion, saving time and fuel. 

The idea is that, even with advances in GPS navigation, traffic alerts in real time and the various mappings are often unreliable and updates on how to avoid congestion inform drivers when they are already stuck in traffic, so too late to to change course. This inability to avoid traffic congestion for commuters, especially in Silicon Valley, where the problem is most acute, has prompted the search for IBM to manage and optimize without problems, especially in the future, the traffic that comes from the ever-increasing population growth and the relative urbanization.


The forecasting system designed by IBM aims to provide prediction information about what happens on city streets, analyze and predict the traffic situation due to accidents or other abnormalities, and ultimately communicate that information to the people before they even onto the road, suggesting, in case of some roadblock, the alternative routes.

The new system will use the data collected from existing sensors in roads, toll booths, bridges and intersections, and that will then be combined with the GPS data of the users of mobile phones that will enable commuters to monitor the habits and preferences of the routes of the latter. In addition, the system will use a model that can predict what actually is happening on the streets and who will notify the user through a message on the phone or email. Such notices will enable drivers to plan alternative travel routes, improving the safety of travelers and helping transport authorities to anticipate and reduce traffic even before congestion occurs through improved traffic signal timing and planning of the alternative route. But these reports will only come if something is wrong. This is because, said the director of services research at IBM's Almaden Research Center in San Jose, "if people are constantly studded with warnings not useful will soon stop using the service." Users will also be able to log on to a website to see their prediction and forecasts for alternative routes.


Currently a group of people is involved in a test program and installed the application on their mobile devices. "The application - said Nusser - has no user interface and as such is not meant to be used by commuters while traveling. Rather, the mobile application is intended solely for the collection and supply of traffic data for subsequent analysis. " After all, he concluded Nusser, IBM does not want your users to "play with their mobile devices while they are driving." For now, the system is only in testing but Nusser said they plan to become a reality in the immediate future.





Translated via software




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