Health and care organisation adopt Spark EV AI-based technology

UK-based health and care organisation Provide has adopted Spark EV’s artificial intelligence-based technology with the intention of removing range anxiety for drivers in its electric vehicle (EV) fleet rollout. The technology is said to enable the cars to complete 20% more journeys between charges. Called Spark, the system collects live driver, vehicle and other data sources through an in-car sensor. It uses cloud-based machine learning algorithms to provide more accurate journey predictions for EVs.
March 7, 2018 Read time: 2 mins

UK-based health and care organisation Provide has adopted Spark EV’s artificial intelligence-based technology with the intention of removing range anxiety for drivers in its electric vehicle (EV) fleet rollout. The technology is said to enable the cars to complete 20% more journeys between charges.

Called Spark, the system collects live driver, vehicle and other data sources through an in-car sensor. It uses cloud-based machine learning algorithms to provide more accurate journey predictions for EVs.

Fleet managers and drivers can enter their proposed journey into the solution’s smartphone app to obtain advice on whether they will be able to complete it based on live data, previous trips and charge point locations.

Provide is also implementing charge points five of its sites and is planning to expand its fleet of Nissan Leaf EVs. It will also use Spark’s improved journey predictions based on previous trips to optimise vehicle usage.

Spark is available through a monthly subscription and is intended to integrate with existing fleet management/ scheduling systems through its open application programming interface. It can also be used as a standalone solution for smaller fleets.

Philip Richards, executive finance director and company secretary, at Provide, said: “We understand the benefits of EVs in terms of increasing efficiency and demonstrating our green credentials to the communities we serve. At the same time our patients rely on us being in the right place at the right time, meaning it is vital that our EV fleet is used efficiently, without staff needing to worry about not being able to complete their schedules due to running out of charge. By quickly providing us with more accurate journey predictions Spark EV removes range anxiety and is therefore accelerating our EV adoption.”

UTC

Related Content

  • November 21, 2024
    The AI revolution in transportation
    Navigating the future of mobility means approaching AI as a powerful tool that, when wielded responsibly, can help us build transportation systems that truly serve people, says Alex Nesic
    Read More
  • October 10, 2018
    Pivot Power: 'We need to rethink the EV customer experience'
    Electric vehicles will increasingly become a key part of the mobility mix but charging infrastructure is currently patchy. Adam Hill talks to Matt Allen of Pivot Power about disruption, horses, slot machines – and the importance of customer experience. Electric vehicles (EVs) – including buses, taxis and cars for individual and shared use – are already a common sight on our roads. They are not yet ubiquitous. But that will come. There will be around 30 million electric cars in the world by 2030 (as they
    Read More
  • October 7, 2020
    Global moves drive EV infrastructure
    Charge+ in Singapore, Total in the UK and Electrify America all have new plans
    Read More
  • April 16, 2018
    Turning information into stories
    IBTTA says its TollMiner tool can transform transportation planning. Here, the tolling organisation explains how it works – and what part it might play in Donald Trump’s infrastructure plan. Imagine being able to turn the black-and-white numbers in a spreadsheet into graphics and visualisations that tell a compelling story about essential transportation infrastructure. Having easy access to the solid, reliable data you need to plan surface transportation projects and assign project resources based on
    Read More

Highlighted Content