Skip to main content

Here and Esri partner on real-time traffic information

Finland’s Here is to provide its real-time traffic information to GIS mapping software specialist Esri, enabling the company to enhance its web and cloud location platform with more precise location data for intelligent routing with Here Traffic. Here’s traffic information will complement its map content, which Esri has been using for a decade, enabling Esri to provide a location-based analytics offering that will help businesses make more informed decisions. Fleet operators will be able to better manage pr
July 9, 2013 Read time: 2 mins
Finland’s Here is to provide its real-time traffic information to GIS mapping software specialist 50 ESRI, enabling the company to enhance its web and cloud location platform with more precise location data for intelligent routing with Here Traffic.

Here’s traffic information will complement its map content, which Esri has been using for a decade, enabling Esri to provide a location-based analytics offering that will help businesses make more informed decisions.

Fleet operators will be able to better manage problems as they occur in real time, re-routing fleets when traffic unexpectedly hits, and providing alerts when delays occur.

"For ten years, Esri and Here have had the shared goal of enhancing safety and increasing the efficiency of fleet operations by offering the most accurate transportation information on more roads than any other provider across the world," said Chris Cappelli, director of sales at Esri. "Launching real-time traffic from Here on Esri's platform for our ArcGIS Online and ArcGIS for Transportation Analytics software products will offer a deeper level of logistic and analytic capabilities for enterprise and government fleet companies."

"Dependable real-time traffic information is crucial to improving fleet operations strategy today and for the long-term," said Roy Kolstad, vice-president of Here’s US mobile, web and enterprise

For more information on companies in this article

Related Content

  • Here - connecting the car to the cloud
    September 2, 2013
    Nokia’ Here in-car navigation business has launched a complete connected driving offer, which it says is the only end-to-end driving solution on the market today, to help car makers and in-vehicle technology suppliers connect the car and the driver to the cloud. The offering includes Here Auto embedded in-car navigation, Here Auto Cloud always-on access to dynamic services such as real-time traffic updates, and Here Auto Companion, a customisable mobile and web application.
  • Benefits of traffic data sharing with app developers
    November 10, 2015
    Timothy Compston finds out if exchanging traffic and road condition data with private app developers makes sense for both drivers and road authorities. Much has been said about the potential benefits for authorities in sharing data with traffic and navigation app developers, and receiving ‘crowdsourced’ information in return – so how is it working in practice?
  • The weighty problem of truck routing enforcement
    March 17, 2015
    The growing impact of heavy commercial vehicles on urban and interurban highway infrastructures around the world is driving the need for reliable route access restriction and monitoring. The support role of enforcement is proving fertile ground for ITS development. Bridges are especially vulnerable – and critical in terms of travel delays. The US state of Oregon’s Department of Transportation (ODOT) operates what it claims is one of the country’s most aggressive truck route restriction enforcement programme
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a