Skip to main content

Trafficware and Swim.ai launch live streaming traffic information service

US partners Trafficware and Swim.ai have launched a live streaming traffic information service powered by machine-learning and edge computing. Called TidalWave, the solution intends to enable communities to deliver enhanced streaming traffic data with sub-second accuracy. It is also said to be packaged in a more affordable cloud service with low overhead and no impact to city infrastructure. The platform carries out traffic and signal analysis at a city’s advanced traffic management system or on
April 5, 2018 Read time: 1 min

US partners 5642 Trafficware and Swim.ai have launched a live streaming traffic information service powered by machine-learning and edge computing. Called TidalWave, the solution intends to enable communities to deliver enhanced streaming traffic data with sub-second accuracy. It is also said to be packaged in a more affordable cloud service with low overhead and no impact to city infrastructure.

The platform carries out traffic and signal analysis at a city’s advanced traffic management system or on controllers at street level with the intention of generating accurate real-time information. It aims to reduce data volumes by a factor of over 100 and provide hardware savings of up to 80% compared to traditional solutions. Subscribers to the service receive traffic information from a real-time application programming interface.

For more information on companies in this article

Related Content

  • AI traffic management from Hayden
    March 29, 2022
    US-based Hayden AI is showcasing its traffic management platform that is designed to cut traffic congestion and improve the reliability of public transport.
  • TfL trials cyclist detection
    June 5, 2015
    New world first trials would allow TfL to better cater for cyclists at key junctions Further on-street trials will take place later this year TfL now given blanket approval from DfT to install low-level cycle signals at junctions Transport for London (TfL) is to trial a new technology that will help give cyclists more time on green lights.
  • Affordable and versatile traffic data
    January 20, 2012
    Houston TranStar, which has been collecting travel time and segment speed data using vehicle probe data since 1995, has an extensive coverage area that envelops most local commuters' daily freeway routes. However, expanding the existing Automated Vehicle Identification (AVI) system would be cost-prohibitive except for high-volume freeways. The partners of the Houston TranStar consortium needed a new method to measure speeds and travel times on arterial roadway systems and rural freeways. Instead of using co
  • Hurdles to MaaS adoption highlighted
    January 25, 2018
    Jack Opiola talks to some MaaS advocates in the US. Cities will accommodate almost 60% of the world’s population by 2025 and technology is outpacing transportation plans and planners - putting extreme pressures upon planners and transportation systems alike. Big data, digital payments, ubiquitous communications, smartphone applications, on-demand travel and autonomous vehicles are all shredding existing transport plans. Never before has the pace of population growth and the tools to address this problem