Skip to main content

MTA announces finalists for Transit Tech Lab in New York

The Metropolitan Transportation Authority (MTA) and non-profit organisation Partnership for New York City have announced six finalists for the inaugural Transit Tech Lab programme. The eight-week project will allow the technology companies to introduce products to New York’s transportation agencies which are expected to improve subway and bus services. Participants will employ predictive maintenance to help reduce cost and subway delays, deploy a platform for transit network planning, utilise comp
February 27, 2019 Read time: 3 mins

The 1267 Metropolitan Transportation Authority (MTA) and non-profit organisation Partnership for New York City have announced six finalists for the inaugural Transit Tech Lab programme.  

The eight-week project will allow the technology companies to introduce products to New York’s transportation agencies which are expected to improve subway and bus services.  

Participants will employ predictive maintenance to help reduce cost and subway delays, deploy a platform for transit network planning, utilise computer vision to reduce bus lane blockages, apply sensors to address platform crowding and use tools to predict subway delays.

The MTA will evaluate the products and carry out a one-year pilot on the technologies which it finds to offer the best solutions.

Companies selected to provide solutions to better predict and prevent subway delays include:

• Axon Vibe: a smart mobility platform that analyses and predicts real-world passenger travel patterns by utilising smart phone data. The solution helps public transport agencies deliver personalised communications regarding transit-related delays, incidents and third-party offers to passengers through a smartphone app while complying with privacy.  
• Veovo: uses a mix of sensor technologies and cameras to analyse a number of people in an area. The technology is expected to predict if dangerous crowding conditions in a train station are likely to occur and report it back to transit operational centres.

Participants chosen to help buses move faster and more efficiently include:

• Palisade Labs: applies computer vision technology to the footage captured by forward-facing cameras on MTA buses to assess the obstructions in dedicated bus lanes. The technology identifies vehicles as well as number plates, which can be reviewed by traffic enforcement authorities to improve bus speeds and more efficiently allocate traffic enforcement resources.
37 Pips Technology, a 8297 Neology business, is a machine vision technology provider for transportation and mobility. Neology’s solutions use forward-facing cameras to assess bus lane obstructions and support bus lane enforcement.
• Preteckt: delivers predictive diagnostics using the raw sensor data collected by a telematics system. The device helps fleets avoid service interruptions while making it easier for mechanics to diagnose problems.
• Remix: helps cities and agencies in optimise public transit routes and networks. The company’s platform displays information on new mobility, bus and subway routes and demographic and collision data. Planners can use the solution to redesign streets and transit.  

Transit Tech Lab is being managed by the non-profit Transit Innovation Partnership and the Partnership Fund for New York City, the investment arm of the Partnership for New York City.

For more information on companies in this article

Related Content

  • Big data helps San Diego optimise public transit
    July 14, 2014
    San Diego Metropolitan Transit System (MTS) has turned to Cubic’s big data subsidiary Urban Insights to make better use of its data, according to a report in Information Week. The agency has disparate data sources, including a smart-card payment system, GPS-based automatic vehicle location devices on buses, automatic passenger counters on trolleys, and extensive route and schedule information formatted in the general transit feed specification (GTFS) format developed by Google in 2006. "We look at all
  • New York smart city programme senses the future
    November 29, 2023
    NYC Office of Technology and Innovation wants emerging tech to 'tackle challenges'
  • Machine vision’s image of road management’s future
    June 11, 2015
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi
  • Keeping a watching brief over traffic flows
    March 11, 2015
    Monitoring traffic flows is set to become an even bigger challengebut a revolution in camera technology can help, as Patrik Anderson explains. By 2025 almost 60% of the world’s population will live in urban areas and in those cities there will be an estimated 6.2 billion private motorised trips every day. In order to manage this level of traffic growth, traffic management centres (TMCs) will need to both increase their monitoring capabilities and be able to detect traffic problems quickly, efficiently and r