Skip to main content

Castrol and TomTom to study impact of stop-start driving

Engine oil manufacturer Castrol has partnered with TomTom to study the impact of stop-start driving patterns across the world. The study will uncover the traffic conditions in fifty key cities and regions around the globe, including New York, Sydney, Beijing, Bangkok, Jakarta, Kuala Lumpur, Moscow, Rio de Janeiro, London, Istanbul and Hong Kong. The report published by Castrol and TomTom in September 2013. Castrol’s studies already show that drivers can experience as many as 18,000 stop-starts every year.
July 22, 2013 Read time: 2 mins
Engine oil manufacturer 7429 Castrol has partnered with 1692 TomTom to study the impact of stop-start driving patterns across the world.

The study will uncover the traffic conditions in fifty key cities and regions around the globe, including New York, Sydney, Beijing, Bangkok, Jakarta, Kuala Lumpur, Moscow, Rio de Janeiro, London, Istanbul and Hong Kong.  The report published by Castrol and TomTom in September 2013.

Castrol’s studies already show that drivers can experience as many as 18,000 stop-starts every year.  The study that Castrol is undertaking with TomTom will discover the number of stop-starts in different cities around the world and TomTom will use its precise travel and traffic information to analyse driving behaviour across the entire road network, all over the world.

Gareth Bracchi, senior development technologist at Castrol, commented: “Stop-start traffic is a global issue that not only affects journey times, but all that idling in traffic and waiting at junctions causes microscopic wear in engines.  By partnering with TomTom, we’ll be able to accurately measure the stop-start average per kilometre within defined city limits, discover what cities have the heaviest traffic, and show which city’s drivers are most at risk of damaging stop-start wear.”

Ralf-Peter Schäfer, head of traffic at TomTom added: “This partnership makes perfect sense, as both TomTom and Castrol aim to make the lives of our customers run as smoothly as possible, whether that’s on a daily commute, the school run or a weekend road trip. We are very excited to be working with Castrol and look forward to sharing the findings from this study.”

For more information on companies in this article

Related Content

  • What's next for traffic management and data collection?
    January 26, 2012
    As the technologies and stakeholders in traffic management evolve, what can we expect to see happening in the coming years? For many, the conversation of the moment is just how, and how far, the newer technologies and services provided principally by the private sector should be allowed to intrude into the realms of traffic management.
  • Mobilising data for the future of urban transport
    August 8, 2018
    It's not just gathering the data that's important, says Johan Herrlin - it's making sure that transport organisations share it with one another that will determine travellers' satisfaction. Data is transforming the way we move around cities, from family car journeys to the daily train commute. Gone are the days when travelling from A to B meant remembering your AA map and having to ask for directions at regular intervals. If you were trying to navigate London as a tourist a mere decade ago, it required
  • Richard Butter introduces ‘smarter, more innovative’ Intertraffic
    April 5, 2016
    Intertraffic Amsterdam 2016 is bigger, smarter, more innovative, more connected, and more relevant than ever before, as Richard Butter, domain manager for Intertraffic Worldwide Events, explains.
  • First-of-a-kind collaboration to analyse real-time traffic patterns and individual commuter travel history
    February 3, 2012
    IBM has announced a new collaboration with the California Department of Transportation (Caltrans) and California Center for Innovative Transportation (CCIT), a research institute at the University of California, Berkeley, to develop an intelligent transportation solution that will help commuters avoid congestion and enable transportation agencies to better understand, predict and manage traffic flow.