Press Releases

INRIX AND PTV GROUP COLLABORATE TO EXPAND REACH INTO SMART CITIES WORLDWIDE

DETROIT, MI – ITS World Congress – September 8, 2014 – INRIX®, Inc., a leading international provider of real-time traffic information, transportation analytics and connected driver services, and PTV Group, a leading global software provider for transport and logistics, today announced a strategic partnership to collaborate on smart city solutions that will use big data and demand-based modelling software to solve urban mobility problems worldwide. As part of a multi-year global agreement, PTV Group is integrating INRIX XD® Traffic into PTV Optima, its state-of-the-art tool for traffic prediction.

“We are delighted to be partnering with PTV Group, one of the world’s leading traffic management software providers,” said Rafay Khan, SVP Sales & Product, INRIX. “Not only are we integrating our real-time data with PTV Group’s cutting-edge analytics tool and greatly enhancing its coverage, we have also embarked on joint commercial activity to drive traffic management solutions worldwide. With urbanization on the rise, traffic management is a critical component of any city, and this partnership makes us best placed to combat urban mobility problems and play a leading role in the development of smarter cities.”

The movement of vehicles for the efficient flow of commuters, goods and services is central to the economic competitiveness of a smart city. With real-time information on traffic speeds and travel times for more than four million miles of roads in 40 countries, INRIX XD Traffic delivers unparalleled insight into what’s happening on our roads at any given time. It significantly improves accuracy and offers detailed traffic information for every 250 meters on every major road type and class, resulting in the best insight for transportation agencies and urban planners for improving a city’s road network performance.

“PTV Group selected INRIX as a strategic partner on account of its superior traffic data from a wide variety of sources, its growing international presence, the fact that it can innovate quickly and because it has strong commercial partnerships in a number of vertical markets,” said Miller Crockart, Vice President Global Sales & Marketing Traffic Software, PTV Group. “We are looking forward to developing commercial opportunities together with INRIX and we are on track to announce our first joint customer, which will use a combination of INRIX XD Traffic and PTV Optima, by the end of this year.”

PTV Optima is the key for successful traffic management. To produce a coherent and detailed picture of traffic, PTV Optima collects, compares, validates and combines data from a number of sources. Through a combination of real-time data, complex algorithms and offline traffic modelling, PTV Optima provides transport authorities with traffic information for the entire road network and produces reliable traffic forecasts for the next 60 minutes, including forecasts for any minor roads where there is no initial data. This functionality supports transport authorities in their decision making process by simulating in real-time the effects of traffic management measures, helping them to determine the best strategy to implement.

Notes to editors

INRIX is at the forefront of connecting cars to smarter cities. Whether delivering new breakthroughs in navigation with automakers or helping governments engineer smarter highways, INRIX has been moving people and businesses forward for nearly a decade. The company pioneered a breakthrough approach to traffic by analyzing data not just from road sensors but from the vehicles themselves. As a result, INRIX XD Traffic makes the old approach of installing sensors in roadways virtually obsolete.

Today, INRIX provides real-time traffic information and driver services to automakers like Audi, BMW, Ford, Volkswagen and Toyota. The company’s insight helps drivers do everything from navigating through the day’s traffic to finding the closest, least expensive fuel, available parking or EV charging location.

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