Skip to main content

Vehicle data services launched for business and government

A new analytics platform and two associated services for measuring traffic and people movement have been launched by the vehicle data specialist Inrix. Inrix Insights is the first system of software to provide business and government with vehicle data for transportation and urban planning, retail site selection and measurement of advertising and marketing campaigns, the company claims. The platform leverages real time GPS data from a growing global network of over 250 million vehicles and con
May 6, 2015 Read time: 2 mins
A new analytics platform and two associated services for measuring traffic and people movement have been launched by the vehicle data specialist 163 Inrix.

Inrix Insights is the first system of software to provide business and government with vehicle data for transportation and urban planning, retail site selection and measurement of advertising and marketing campaigns, the company claims. The platform leverages real time GPS data from a growing global network of over 250 million vehicles and connected devices.

“Inrix Insights exemplifies how the Internet of Things is transforming every aspect of society, including how business and government design, build and ultimately measure the impact of products and services people use every day,” said Inrix president and chief executive officer Bryan Mistele.

The services launched off the back of Inrix’s new platform are called Insights Trips and Insights Volume. The first is described as a ‘data as a service’ application for understanding population movement across metropolitan areas and between defined points. The second is claimed to be the first service to provide traffic counts for specific locations and times of day or days of the week using connected vehicle data.

Inrix has launched its new analytics platform and services as ‘a breakthrough in origin-destination and vehicle count analysis that reduces cost and complexity while increasing the accuracy and reliability of information’.

For more information on companies in this article

Related Content

  • Umovity: Revolutionising mobility through innovative technologies
    December 1, 2023
    United under the brand Umovity, PTV Group and Econolite join forces and introduce their new combined Mobility Tech Suite. The companies’ CEO Christian U. Haas explains the details
  • Rapid growth makes Texas an incubator for tolling innovation
    September 8, 2014
    As the IBTTA’s annual meeting and exhibition heads for Austin, Mitchell Beer, president of Smarter Shift, considers the role of Texas in the development of tolling strategies and technology. The State of Texas has always prided itself on being ‘larger than life’. From the sprawling geography of the state itself with its wide open skies, to its entrepreneurial ‘get-it-done’ attitude, Texas exudes an impatient restlessness that pushes businesses and public agencies to deliver faster, better results. More ofte
  • UK Government fast tracks driverless cars
    July 30, 2014
    UK business secretary Vince Cable has announced two new measures today that give the green light for driverless cars to take to UK roads from January 2015. UK cities can now bid for a share of a US$16.9 million competition to host a driverless cars trial. The government is calling on cities to join together with businesses and research organisations to put forward proposals to become a test location. Up to three cities will be selected to host the trials from 2015 and each project is expected to last
  • Targeted roadside advertising project uses deep learning to analyse traffic volumes
    June 22, 2016
    A targeted roadside advertising project for digital signage using big data and deep learning just launched in Tokyo, Japan, by US smart data storage company Cloudian will focus on vehicle recognition and the ability to present relevant display ads by vehicle make and model. Together with Dentsu, Smart Insight Corporation, and QCT (Quanta Cloud Technology) Japan, and with support from Intel Japan, the project will conduct, at its first stage, deep learning analysis – artificial intelligence (AI) for recog