Skip to main content

Applied Information releases Knockdown Detection Sensor

Applied Information has launched a product to detect when a traffic control device has been knocked down due to an accident, storm or vandalism – and call for help. The AI-900-032 Knockdown Detection Sensor uses battery power and wireless Internet of Things technology to send alerts to transportation system managers when it is in an ‘abnormal’ position. It is part of the Glance Smart City Supervisory System suite of products which allow cities to manage traffic and ITS assets under one web-based applicat
March 5, 2019 Read time: 1 min

Applied Information has launched a product to detect when a traffic control device has been knocked down due to an accident, storm or vandalism – and call for help.

The AI-900-032 Knockdown Detection Sensor uses battery power and wireless Internet of Things technology to send alerts to transportation system managers when it is in an ‘abnormal’ position. It is part of the Glance Smart City Supervisory System suite of products which allow cities to manage traffic and ITS assets under one web-based application.

The company says the sensor connects to any applied information device and monitors it for “sudden and unexpected changes in orientation”.

If the device has more than a 10-degree change that persists for more than 30 seconds, the sensor sends an alert to appropriate personnel via text, email and the Glance dashboard, the company adds.

Related Content

  • A streetcar named...reliable
    June 27, 2018
    When Atlanta’s streetcar project had some issues, Siemens helped to solve them – but started out by just listening, says Chris Maynard, the company’s head of rail services. It’s funny how often niggling problems can be a warning sign that there are bigger issues requiring attention – and not so funny how things can escalate if you don’t pay attention to them. With that in mind, Siemens was hired as service provider for the Atlanta Streetcar system - four vehicles operating on a two-mile loop in downtown
  • 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
  • Bristol’s buses trial CycleEye detection system
    July 7, 2017
    Fusion Processing’s Jim Hutchinson looks at a two-year trial of the company’s cyclist detection system. Is cycling in a city dangerous? Well, that depends where you are and how you view statistics. Malmö is far more bike-friendly than Mumbai and the risk can either be perceived as small - one death per 29 million miles cycled in the UK in 2013 - or large - that equated to 109 deaths in the same year. Whatever your personal take on the data, the effect of these accidents can be felt indirectly too. News of c
  • Statistical improvement for short-term travel time predictions
    June 2, 2014
    Researchers at Imperial College in London have developed a generic three-stage short-term travel prediction model that promises to give greater accuracy under both normal and abnormal conditions. As travellers do not like the randomness of non-recurrent traffic congestion and delays, it is particularly useful for network managers to know how the ongoing traffic situation will develop when an atypical event occurs.