Skip to main content

Sidewalk hoggers beware! Lime can see you

Micromobility firm Lime has launched technology which it claims can tell ‘with 95% accuracy’ when an electric scooter rider is using the pavement. 
By Ben Spencer February 28, 2020 Read time: 1 min
Lime scooters on the sidewalk in San Diego: maybe don’t try this in San José (Source: © Andrei Gabriel Stanescu | Dreamstime.com)

The company says it collects accelerometer and speed data for every trip and detects the underlying surface of a road or pavement using a statistical model. 

According to Lime, users in San José, California, receive a notification if more than half of the ride was taken on a pavement. In the future, an image outlining when and where pavement riding occurred may be sent to the rider at the end of the trip, the company adds. 

EV Ellington, Lime’s northern California general manager, says: “Lime has been working on sidewalk riding detection since hearing concerns from some city and community partners, and we believe we may have finally cracked the code on this issue and developed a technology that is effective, safe and scalable.”

“Once we have that data in hand, we can share it with the City of San José and work on potential infrastructure improvements, such as protected bike lanes, to make riders and pedestrians feel safe,” Ellington adds.
 

 

For more information on companies in this article

Related Content

  • Sound synthesis makes hybrid and electric vehicles safer
    January 20, 2012
    The growing popularity of hybrids and electric vehicles gives rise to new safety issues in urban environments, as many of the aural cues associated with engine noise can be missing. The solution is to intelligently make vehicles noisier. The rise in popularity of hybrids and Electric Vehicles (EVs) is a result of environmental pressures, shifts in taxation and emerging technologies for batteries and motors. Competition among the car manufacturers means these vehicles need to be cost effective to buy and ope
  • Aimsun solutions support new planning tool for low-carbon mobility
    March 8, 2023
    The EU-funded HARMONY research project is behind a new planning tool to support sustainable transport policymaking. Aimsun scientific researcher Lampros Yfantis explains the key role of traffic simulation with Aimsun Ride in planning for on-demand mobility and logistics services
  • Bolt ramps up sustainability effort
    September 25, 2020
    Scooter firm's figures suggest 70% of micromobility trips are by commuters
  • Daimler’s double take sees machine vision move in-vehicle
    December 13, 2013
    Jason Barnes looks at Daimler’s Intelligent Drive programme to consider how machine vision has advanced the state of the art of vision-based in-vehicle systems. Traditionally, radar was the in-vehicle Driver Assistance System (DAS) technology of choice, particularly for applications such as adaptive cruise control and pre-crash warning generation. Although vision-based technology has made greater inroads more recently, it is not a case of ‘one sensor wins’. Radar and vision are complementary and redundancy