i- Tour, app per la mobilità intelligente in ambito urbano
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1 i- Tour, app per la mobilità intelligente in ambito urbano Piero Trucco, FORMIT Servizi 1
2 i-tour project overview Project acronym: i-tour Project full title: intelligent Transport system for Optimized URban trips Grant agreement n : Grant Agreement for: Collaborative Project Small of medium-scale focused research project Funding scheme: Seventh Framework Programme (FP7) Activity code SST Intelligent mobility systems and multi-modal interfaces for transport of passengers Duration: 36 months Website: 2
3 Partners competencies Insert text Eindhoven University of Technology MAGMA / ULA ELASIS / FGA 3
4 Project Stakeholders Board 4
5 Transportation issues Safety, as 40,000+ people die on Europe roads each year with a cost for the European economy of approx. 200 B p.a. Efficiency, as congestion costs an estimated in 1% of EU total GDP or 100 B p.a. Environmental sustainability, as transport accounts for 30% of total energy consumption in the EU, with the vast majority being consumed by road transport. Public transport use mixed private-public transit is an excellent way to reduce costs and reduce environmental footprint a solo commuter switching his or her commute to existing public transportation can reduce in a single day their CO 2 emissions by more than 2,200 Kg in a year 5
6 Case study go to work 7.00 No Agenda events Dangerous weather Tram suggestion Travel real-time info Metro packed Walk Suggestion Travel assistance to the nearest shop Shop closed update to the community Search for alternatives Daily statistics shown 6
7 Technology drivers 7
8 Mobile platforms Assisted Global Positioning Satellite (AGPS) technology Found in smartphones and tablets Locate through hybrid GPS, CDMA Network Triangulation Cell Site Location technology Locations indoors and outdoors Asset Tracking Logistics platform ANDROID The Open Handset Alliance 8
9 Web 2.0 and geospatial technology convergence 9
10 Location Based Services Social Networks The importance of local Knowledge Local Knowledge Community Updated Maintained Reliable if trust management is ensured 10
11 Service Oriented Architectures (SOA) Or simply... software components (web services) communicating via the web through standard protocols 11
12 Some existing services IT solutions to providing real-time data on traffic: Google live traffic Available for few cities It does not support open standards IT solutions to supporting public transport use: Google Transit Available for few cities It does not support open standards Lack of interoperability IT solutions to promote sustainable transport: EcoPassengers A user friendly internet tool with a sound scientific methodology A calculator to compare the energy consumption, CO 2 - and exhaust atmospheric emissions for planes, cars and trains 12
13 Main goals of i-tour Objective 1: Reliable and secure data collection and access Objective 2: Modular infrastructure based on standard open technologies Objective 3: Personalised multi-modal transport information system Objective 4: User friendly personalised travel information systems Objective 5: Identification of new business models based on real-time personalised LBS 13
14 How to achieve these goals? Thorough the development of Location Based Services (LBS) 14
15 What are Location Based Services? A location-based service (LBS) is an information and entertainment service, accessible with mobile devices through the mobile network and utilizing the ability to make use of the geographical position of the mobile device. LBS services include services to identify a location of a person or object, such as discovering the nearest banking cash machine or the whereabouts of a friend or employee. 15
16 Objective 1: Reliable and secure data collection and access From transport operators From users From other channels 16
17 Naples test site Provincia di Napoli Alilauro Autostrade Meridionali Circumvesuviana 17
18 Advanced data collection techniques Transport load prediction systems using cameras, to be installed at designated train platforms from Circumvesuviana, to automatically detect crowding levels. 18
19 Advanced data collection techniques From consumers to prosumers of information The user can share localised information on the urban environment of interest for the community information on traffic, on offices/shops moving to new premises, change of museums opening hours Etc. 19
20 Advanced data collection techniques From consumers to prosumers of information Community s knowledge Shared repository i-tour user community Local knowledge Trust management system Trustworthy Local knowledge 20
21 Security and privacy Approach similar to other social networks e.g. Wikipedia Huge problems of security and privacy: Time Position of the user Personal preferences attack vectors Privacy Threat Vulnerability and Risk Analysis 21
22 Novelty The i-tour data model is a first example of definition of a unique process to treat different types of transport and traffic data in a harmonised manner. The application provides an innovative solution based on the use of video analysis systems. 22
23 Objective 2: Modular infrastructure based on standard open technologies 23
24 Main issue Lack of interoperability in terms of: Information (data structure) Infrastructure (services) Data Formats (protocols) 24
25 Goal: ensuring harmonised access 25
26 Each component of the infrastructure becomes a service 26
27 The multi-level architecture SDI of i-tour 27
28 Novelty Full delegation through SOA Intrinsic scalability through support of OGC standards Extended OpenLS interface (to cater for Multimodal Trips & recommendations) 28
29 Objective 3: Personalised multi-modal transport information system 29
30 Multi-modal routing services Capable to adapt to the user preferences Travelling style Agenda & booking Weather Respond adequately to real-time events through proper re-scheduling unforeseen travel a meeting went on longer than expected bumping into a friend Capable to adapt to real time external conditions: Public infrastructure load Traffic condition Transport network status 30
31 Modelling aggregate system consequences of providing information/advice The development of a model of users decisions to comply or not comply with travel advice/information of a specific information source in a specific situation. This needs to take into account possible strategic behaviours of users (e.g. if everyone else follows this same advice than the route/location may become crowded and, therefore, the user rather take the alternative options). The development of a module to assess system consequences of providing certain contents of travel/tourist information/advice. 31
32 Novelty Routing system Multimodal private vehicle and public transport Multi-criteria Personalized advice Self-learning of user preferences Activity scheduler Integration of alert and recommendation function with routing system System consequences More sophisticated emission modelling Monitor of actual behaviour and feedback to the learning system 32
33 Objective 4: User friendly personalised travel information systems 33
34 User-friendly mobility clients user-friendly mobility clients public i-tour portal Smartphones or Tablets 3D client as Java WebStart Mobile client based on Android 34
35 LBS and natural language interaction POSITION + show me the nearest Indian restaurants where I can pay with credit card FuLL (Fuzzy Logic and Language) results human language parsing technologies Spatial data SQL query Geospatial repository 35
36 Promote rewarding mechanisms defining rewarding mechanisms for citizens opting for travel choices with positive impact on climate change by promoting forms of incentives that can raise the level of public awareness informed of the Kg of CO 2 or the amount of PM emission saved create reward schemas 36
37 Novelty Dialogue-based communication through natural language Interface adaptability through ambient intelligence Promotion of sustainable travel patterns through serious games as LBS Integration of ITS with serious game engine to motivate users towards sustainable travel patterns Recommender System diversity of recommendations (surprise users with new results each time) bootstrapping (how to cater for new users for whom we know no preferences) application of recsys technique outside classic LBS (for example, recommending what travel-card to purchase) Access control (people as sensors) use of crowd-sourcing Virtual community analysis 37
38 Objective 5: Identification of new business models based on real-time personalised LBS 38
39 i-tour functionalities Software For Mobile Use Public Transit Option Navigator Features Real-time Updates Automatic Suggestions Route Comparison (by price, traffic, weather, etc.) Comprehensive POI Information Comprehensive Public Transit Information User Feedback Environmental Care 39
40 AS-IS business scenario analysis for Transport Service Providers Serious-game interface Environmental Care User Feedback Comprehensive Public Transit Information Route Comparison (by price, traffic, weather, etc.) Comprehensive POI Information Automatic Suggestions Real-time Updates Navigator Characteristics Public Transit Option For Mobile Use Software Garmin Phone l l l l l l NAVFone l l l l Google Maps for Mobile l l l l l l l l l Google Transit l l l l l l l l Google Maps 6.0 for Android devices l l l l l l OpenRouteService l l l l l l Infoblu l l l l Tom Tom l l l l l In Città l l ViaMichelin l l l City Advisor l l l l l l l foursquare l l l l l l l waze l l l l l l SMARTFREIGHT l l l l l l l ECOMOVE l l l l l l l l l WISETRIP l l l l l l l l VIAJEO l l l l l l l l l i-travel l l l l l l l l l SMART-WAY l l l l l l l l OPTI-TRANS l l l l l l l l l i-tour l l l l l l l l l l l l l 40
41 Marketing plan Business strategies Institutional configurations a) A new company representing the present consortium so as to go to market maintaining capacity and opportunity to manage the innovation process b) A strong partner (or more than one, per each European country or group of EU countries) for industrialisation, placement and assistance 1) To sell the entire system (server + data exchange interfaces, and sell assistance for system use) 1a 1b 2) To sell server access and interfaces configuration (exclusive and non-exclusive licence, on a territory base, and sell assistance for system use) 2a 2b 41
42 Target market Targets could, therefore, be identified among the following categories: Telco operators Mobile producers, both hardware (e.g. Nokia) and software (e.g. Microsoft) Public administrations (e.g. local authorities responsible for transport management) Central procurement bodies (e.g. Consip in Italy) Web companies (e.g. Google) Services providers (e.g. transport info, road network, weather) via web (e.g. viamichelin) Satellite navigators (e.g. TOMTOM, Magneti Marelli) IT outsourcing companies (e.g. IBM, EDS) 42
43 Break-even analysis - Break-even is likely to be attained when population of reached areas tops 50 million, 20 to 30 metropolitan areas across Europe being involved. - Stabilization of product/customers would bring 4,6 million EBTDA (Earnings Before Interest, Taxes, Depreciation and Amortization) in 5 years. 43
44 44
45 Project Stakeholders Board 45
46 Project Stakeholders Board membership We are interested in your opinion and we consider with the utmost attention new memberships. 46
47 Acknowledgments The research leading to these results has received funding from the European Community s Seventh Framework Programme (FP7/ ) under the Grant Agreement n The authors are solely responsible for it and that it does not represent the opinion of the Community and that the Community is not responsible for any use that might be made of information contained therein. 47
48 Thank you for your attention! Pier Carlo Trucco Cristina d Alessandro c.dalessandro@formit.org i-tour website 48
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