Skip to main content

Delphi partners with TomTom on Intelligent Driving controls

Delphi Technologies is collaborating with TomTom on electronic and software applications designed to further optimise vehicle fuel efficiency and emissions through the use of real-time mapping data. Delphi says its Intelligent Driving controls will use the information to predict changing driving conditions such as traffic congestion to help shorten commute times. Mary Gustanski, the company’s chief technology officer, says the partnership will seek to integrate more information about a driver's route
January 9, 2019 Read time: 1 min
7207 Delphi Technologies is collaborating with 1692 TomTom on electronic and software applications designed to further optimise vehicle fuel efficiency and emissions through the use of real-time mapping data.


Delphi says its Intelligent Driving controls will use the information to predict changing driving conditions such as traffic congestion to help shorten commute times.

Mary Gustanski, the company’s chief technology officer, says the partnership will seek to integrate more information about a driver's route to improve the product and allow vehicles to drive ‘better and cleaner’.

For more information on companies in this article

Related Content

  • TomTom releases APIs to help EV developers
    September 2, 2019
    TomTom has launched two application programming interfaces (API) to help developers build applications for electric vehicle (EV) drivers. TomTom says the Long Distance EV Routing API comes with an algorithm which calculates the route - including stops to charge - and displays an estimated time of arrival. The EV Charging Stations Availability API provides information on stations according to plug type, the company adds. Anders Truelsen, managing director, TomTom Enterprise, says the company offers dev
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
  • Smarter transport remains key to smart cities
    January 9, 2018
    Colin Sowman looks at some of the challenges and solutions that will provide enhanced transport efficiency in tomorrow’s smarter cities. However you define a ‘smart city’, one of the key ingredients will be an efficient transport system. As most governments and city authorities face financial constraints, incremental improvements in the existing systems is the most likely way forward. In London, new trains and signalling are improving the capacity of the Underground but that then reveals previously
  • Adaptive control reduces travel time, cuts congestion
    January 20, 2012
    Situated in San Diego County, California, the growing city of San Marcos has seen its population increase by 53.5 per cent since the turn of the century. Although this dramatic population increase has spurred economic growth bringing new business, homes and opportunities to the city, it has also increased traffic congestion along its central corridor, San Marcos Boulevard. This became the most congested arterial in the city, and, by 2006, the second-most travelled corridor in San Diego County.