Skip to main content

StreetLight Data forms M2 Initiative to measure traffic interaction

Mobility analytics company StreetLight Data has launched its Multimodal Measurement Initiative (M2 Initiative) to measure the way various modes of travel interact. The company says it is developing new analytics that describe the behaviour of each transportation mode individually. The project will assess the interaction between trips made by personal vehicles, public transit, walking, biking, commercial trucks and gig economy trips made by on-demand rideshare and delivery drivers. For the first phase
June 11, 2018 Read time: 2 mins
Mobility analytics company StreetLight Data has launched its Multimodal Measurement Initiative (M2 Initiative) to measure the way various modes of travel interact. The company says it is developing new analytics that describe the behaviour of each transportation mode individually.


The project will assess the interaction between trips made by personal vehicles, public transit, walking, biking, commercial trucks and gig economy trips made by on-demand rideshare and delivery drivers.

For the first phase, the M2 Initiative will focus on bicycle, pedestrian, bus, train and gig economy driving such as ride-hailing apps and delivery applications like Grubhub and Postmates.

Laura Schewel, StreetLight Data’s CEO, says: “We must measure all of these new variables separately and together, in order to effectively manage them.”

StreetLight Data is also building a working group to collaborate on the issue. M2 Initiative partners include providers of mode-specific data sets, public agencies who want to lead in measuring new modes, academic institutions and private transportation firms who are exploring new business models. More information is available at: %$Linker: 2 External <?xml version="1.0" encoding="utf-16"?><dictionary /> 0 0 0 link-external www.streetlightdata.com/multimodal-measurement-initiative false https://www.streetlightdata.com/multimodal-measurement-initiative+ false false%>.

Related Content

  • Most pedestrian detection systems ‘hit pedestrians at 30mph’
    October 14, 2019
    In-car automatic emergency braking systems with pedestrian detection mostly fail to avoid hitting pedestrians - and are “completely ineffective at night”, according to new research. In shocking findings, the American Automobile Association (AAA) revealed that most systems hit a simulated pedestrian target at 30mph. A collision also occurred 89% of the time when a vehicle operating at 20mph encountered a child darting between two cars. In tests, all vehicles collided with an adult pedestrian immediately fo
  • USDOT to launch Public Transportation Improvement Initiative
    September 4, 2015
    The US Federal Transit Administration (FTA) will launch a multi-faceted Expedited Public Transportation Improvement Initiative (XPEDITE) on 8 September with the aim of gaining comment from the transit industry and others interested in public transportation on ways to improve program delivery.
  • Intertraffic 2016 programme now online
    March 1, 2016
    The seminar programme for Intertraffic 2016 is now online, including more than 80 theatre sessions, presentations, round tables, workshops and demonstrations. These include topics such as: Launch of Intelligent Public Space; the gateway to smart solutions and applications in public space; Digital Transport paving the way for new chapter in C-ITS; Successfully deploying automated speed enforcement programs; Multimodal Traffic Management - Bridge Management System as well as presentations by manufacturers and
  • Uber ‘disabled braking system’ in fatal crash
    May 30, 2018
    Uber had disabled the emergency braking function of the Volvo XC90 which killed a pedestrian in Tempe, Arizona in March. A preliminary report from the National Transportation Safety Board (NTSB) says the car was “operating with a self-driving system in computer control mode” when it struck 49-year-old Elaine Herzberg, who was pushing a bicycle across the road. According to the NTSB report, Uber said “emergency braking manoeuvres are not enabled while the vehicle is under computer control, to reduce the