Latest News
June 17th 2009
SATNAVS GET PERSONAL AND A LOT MORE ACCURATE
Journey Dynamics launches driver personalisation technology - MyDrive™ - for superior routing and the highest levels of accuracy in calculating estimated journey times across all countries.
London: 17 June 2009: Journey Dynamics, traffic technology provider, http://www.journeydynamics.com today announces the launch of its driver personalisation technology - MyDrive™ – which allows satnavs or other navigation devices to learn the way each individual drives. This dramatically improves the accuracy of the estimated journey time, and so removesone of the biggest issues in using satnav devices. The MyDrive™ version for Western Europe is available immediately and other regions will roll-out later this year.
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Oct 30th 2008
Journey Dynamics announces latest traffic forecasts for cars
and trucks
Latest Predictive Traffic Forecast Empowers Cars and Trucks to Avoid
Time-based Congestion and Reduce Fuel Consumption:
Journey Dynamics, a privately-owned provider of traffic intelligence solutions, http://www.journeydynamics.com today announces the latest release of its traffic
speed forecasts for both cars and trucks. Covering the entire UK road network, this highly accurate information is being used in applications from navigation devices to logistics software to enable drivers to avoid congestion and reduce fuel consumption.
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Aug 19th 2008
Traffic speed forecasting enables HGVs to avoid time-based congestion patterns to reduce fuel consumption -
31 July, 2008: Journey Dynamics, a privately-owned provider of traffic intelligence (http://www.journeydynamics.com), today announces the availability of traffic speed data for Heavy Good Vehicles (HGVs) to forecast accurate speeds across the entire UK road infrastructure. This information, based on high quality floating vehicle data supplied by ITIS
Holdings plc, will enable a new generation of HGV speed forecasting applications that are able to predict arrival times, improve journey confidence and minimise the fuel costs by avoiding time-based traffic congestion patterns.
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