Skip to main content

Malta upgrades public transport system

Spanish technology company GMV has been awarded a contract by the Malta Public Transport (MPT) to provide the advanced fleet-management and video surveillance system (SAE-CCTV) and the electronic fare-collection system for the modernisation of Malta’s buses. MPT has purchased 143 new low-floor buses for the modernisation process; these feature an advanced fleet management system along with a state-of-the-art ticketing system. The SAE-CCTV is GPS, 3G and wifi-enabled, with door sensors, connection to a
March 30, 2016 Read time: 2 mins
Spanish technology company 55 GMV has been awarded a contract by the Malta Public Transport (MPT) to provide the advanced fleet-management and video surveillance system (SAE-CCTV) and the electronic fare-collection system for the modernisation of Malta’s buses.

MPT has purchased 143 new low-floor buses for the modernisation process; these feature an advanced fleet management system along with a state-of-the-art ticketing system.

The SAE-CCTV is GPS, 3G and wifi-enabled, with door sensors, connection to analog and IP video-surveillance cameras with a recording system and online streaming. The system also includes an emergency system based on an emergency pedal, facilitating voice and messenger communications between the control centre and the, plus a powerful passenger-information system with broadcasting of visual and audio next-stop announcements, linked with existing LED and TFT bus-stop information panels.

The ticketing system doubles as both vending machine and validator, printing out and reading QR-code paper tickets, recharging and validating contactless Mifare Plus X fare cards and also providing message console functions for the fleet management equipment and controlling information panels inside and outside the bus.

Related Content

  • January 22, 2013
    Live bus prediction technology launched
    Bus passengers in San Bernardino, California now have up-to-the-minute, accurate bus arrival information at their fingertips with bus operator Omnitrans’ new NexTrip technology. Passengers can access NexTrip real-time bus information via mobile web browser, desktop computer, SMS/text, or by calling 1-800-9-OMNIBUS and selecting the NexTrip option. Online, customers can view buses and stops on a route map with real-time tracking. They even can sign up for automatic alerts, such as notification when the bus i
  • January 4, 2018
    Cubic wins contract to mobilize LA Metro TAP Fare Payment System
    Cubic Transportation Systems has been awarded a contract by the Los Angeles County Metropolitan Authority (LA Metro), to deliver an integrated traveller app in support of the TAP regional contactless fare system. It is designed with the intention of allowing users to make a fare purchase, use their mobile device as a TAP card and complete their journey using transit, bikeshare, or other multimodal programs. It will also provide them with commute information. TAP links 24 transit agencies across the Los
  • October 25, 2016
    UK bus operator to deliver contactless bus travel by end of 2018
    UK bus operator Stagecoach is to deliver contactless bus travel on all of its regional bus services across the UK by the end of 2018, allowing passengers to pay for travel with a contactless credit or debit card, as well as Apple Pay and Android Pay. It will be the first major deployment of contactless technology on Britain's buses outside London and will benefit customers from major urban areas to rural and island communities such as Norfolk in England, Orkney in Scotland and Brecon in Wales. Stageco
  • January 25, 2012
    Machine vision - cameras for intelligent traffic management
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case: