Skip to main content

GMV develops app to inform travellers of bus status in real time

GMV has developed the Toledo Bus app to provide users with real time information of the City’s urban transport network. It is part of a plan carried out by Unauto in collaboration with GMV to modernize the public bus fleet. Users can locate the different lines and stops around their current location or any others that are manually entered from the main window of the app after enabling the geolocation permission of the terminal. The 'how to get there' feature reveals the shortest route between two locations
November 22, 2017 Read time: 2 mins

55 GMV has developed the Toledo Bus app to provide users with real time information of the City’s urban transport network. It is part of a plan carried out by Unauto in collaboration with GMV to modernize the public bus fleet.

Users can locate the different lines and stops around their current location or any others that are manually entered from the main window of the app after enabling the geolocation permission of the terminal. The 'how to get there' feature reveals the shortest route between two locations and is planned through Google maps.

Additionally, the application shows information related to the different lines, routes and bus stops that make up the topology of the urban transport in the city and provides real time information of the estimated times of passage by the stop. This temporary information will also be shown in the 93 information panels that GMV will provide as part of the scope of the project; the panel locations are currently being defined by the city of Toledo itself.

Based on the frequency of use, the user can select favourites or more stops to facilitate future searches.

The rest of the additional information related to the city is available and updated through the website of the city of Toledo, which can be launched from the main window of the app.

For more information on companies in this article

Related Content

  • SPONSORED CONTENT: Using AI to achieve real traffic intelligence
    June 3, 2020
    The application of artificial intelligence has the potential to transform the performance of vision-based systems used for a wide and growing set of applications. These include vehicle presence detection and identification, count and classification, and enforcement, explains Roy Czinku of International Road Dynamics
  • Bronx benefits from mesoscopic-microscopic modelling
    January 7, 2014
    Michael Marsico, Andrew Weeks, Keir Opie and Murat Ayçin explain the application of hybrid traffic simulation to a planning study in New York City. Traffic modelling, particularly mesoscopic-microscopic hybrid simulation, has played a key role in planning for the future of one of America's shortest interstates, the 1.3-mile Sheridan Expressway. New York City has just completed a two-year, interagency study federally funded by a TIGER II grant on how to improve the Sheridan Expressway and its surroundi
  • Link Motion enters partnership to develop connected vehicle solution
    September 13, 2018
    Finland-based Link Motion has entered a partnership to provide car manufacturers with a connected vehicle solution combining security technology, analytics and policy management. The solution will be developed as part of an agreement with vehicle electronic testing company DSA and Dutch firm Irdeto. The platform will be built on the Microsoft Azure cloud computing service. Jouni Mikkonen, managing director at Link Motion, says the solution will ensure users benefit from data ownership and connected v
  • Jenoptik cameras reduce collisions
    March 19, 2022
    An analysis has shown that Jenoptik’s average speed cameras can reduce fatal and serious collisions by 50%. Ben Spencer learns that this technology also requires an understanding of the local environment