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Traffic monitoring with FCD- and traffic signal data in Tampere region

An overview of a project focusing on traffic monitoring using Floating Car Data (FCD) and signal data in Tampere region. The project highlights best practices, objectives, development projects, and future steps for providing personalized traffic information. It also discusses the use cases and benefits of the system.

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Traffic monitoring with FCD- and traffic signal data in Tampere region

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  1. Traffic monitoring with FCD- and traffic signal data in Tampere region VIKING Workshop Best practices on monitoring deployment 5 - 6 October 2005 Copenhagen, Denmark Mr Juha Laakso Infotripla Ltd

  2. Presentation Introduction of Infotripla and City of Tampere Background and objectives of the development projects Traffic in Tampere service The next development steps Best practices Contact information

  3. Provides complete IT services for transport, logistics, tourism and marketing business areas Products for intelligent systems for delivering transport and tourism related information to mobile and web users Infotripla Ltd • Infotripla’s solution used in this context: • infoT – service platform for flexible development of personalised multi-channel services - From Information to Added Value -

  4. ”Despite being only medium-size city, Tampere has remarkable traffic problems caused by its location in narrow neck of land between two big lakes…” City of Tampere 200 000 inhabitants in Tampere (450 000 in greater area) An Early Adopter of ITS in Finland Traffic in a nutshell…

  5. Background • Limited possibilities for traffic caused by the location and estimated growth in traffic volumes • (about 30 % between years 2002 and 2020) • No existing street traffic information system in Tampere • need to provide information -> collecting methods are costly -> new methods are welcome • A possible solution is… • finding appropriate cost effective methods for the traffic data collection as an alternative to the costly investments on fixed roadside devices. • intelligent way to serve travellers by help of personalised traffic information

  6. Objectives to create a cost-effective method to utilise existing devices to collect traffic data to produce comprehensive traffic flow information on the city network to deliver personalised traffic information to the travellers to integrate various data sources ASAP

  7. The development projects • ” Profiled multi-channel traffic information based on traffic signal detection (LIVAINFO)” • Autumn 2004 - Summer 2005 • Created the Traffic in Tampere service • ” FCD in providing real time traffic information • (FCD-INFO)” • Spring 2005 - Spring 2006 • Expanding the data gathering of the Traffic in Tampere service • Both part of R&D programme on real-time transport information (AINO) by Finnish Ministry of Transport and Communication

  8. www.liikennetampereella.fi wap.liikennetampereella.fi

  9. System overview

  10. Use cases • ´Registration´, ´Log in´ and ´Update user information´ • Daily users give their very own preferences concerning the service, e.g. the most likely corridors to be used • Users can update their personal information • Users log in to the service by their user data

  11. Use cases Registration

  12. Use cases • ´Read news & notices´ and ´Query traffic information´ • Users can read the latest news and operational notices (personalised by profile) published by city authorities • Users can query the traffic information on certain streets – information of user own streets is served first • (also non-personal information available by net browser) • Any problems detected are shown on map and as text

  13. Use cases • Traffic conditions detected: • Normal traffic • Weakened traffic conditions: The capacity of the street has decreased due to high traffic flow or some incident. Moving is getting more difficult. • Congested traffic: Vehicles are blocked and moving is slow. • Traffic lights not operating: The traffic signal device on the intersection is either blinking yellow light or not operating at all. • compliting data to come …

  14. Use cases

  15. Use cases • ´Feedback´ • User can send feedback through the system

  16. Use cases • ´Publish news and notices´ & `Analyze user data ´ • Service Provider can publish news and notices • Service Provider can analyze user data e.g. for planning purposes

  17. Next steps • New features specified in FCD-INFO project: • FCD from 400 taxies • Real time traffic and speed data from existing automatic measuring units of National Road Administration • Incident information automatically to officials and to the Traffic Management Center • Implementation to start in autumn 2005, piloting in spring 2006 • Tools for the transport authorities to analyze the traffic data. • Integration of some multimodal features in near future (e.g. public transport and parking information) ?

  18. FCD-INFO architectural issues

  19. Best practices (1) • Innovative use of existing technology is a cost-efficient way to • delay or even replace major investments on completely new technology, • make also the traffic information services commonly accessible now, • give support to transport planning, • get maximum benefits out of the investments made

  20. Best practices (2) • Today • EC-Trak and Omnivue widely used e.g. in Nordic countries, • commercial fleets use systems enabling FCD (e.g. taxi companies), • fixed measuring units collect real-time traffic data, • The Finnish National Architecture for Transport Telematics (TelemArk) determines e.g. public interfaces, • innovative solution provider recognises potential value added for various user groups • Various data sources + accessible interfaces + innovation • = smart cost-effective services for the end-users and business users

  21. Thank You! More Information: Mr. Juha Laakso Infotripla Ltd www.infotripla.fi juha.laakso@infotripla.fi

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