Roma, 6-5-15 BONVOYAGE project Call: Mobility for Growth Topic: MG.7.2-2014. Towards seamless mobility addressing fragmentation in ITS deployment in Europe Nicola Blefari Melazzi blefari@uniroma2.it http://blefari.eln.uniroma2.it/ +39 06 7259 7501
Project essential data – BONVOYAGE: From Bilbao to Oslo, intermodal mobility solutions, interfaces and applications for people and goods, supported by an innovative communication network – Merging of ICT and Transport issues Budget: 4M € – Partners: – 1. CNIT 2. ATOS 3. AZKAR-DACHSER 4. CEA-LETI 5. City of Bilbao 6. Clúster de Movilidad y Logística, MLC ITS Euskadi 7. CRAT 8. Fluidtime 9. Norwegian Public Roads Administration, NPRA 10. SINTEF 11. TRENITALIA Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 2
Statistics and timeline • First stage: 75 proposals (7.1+7.2), deadline 18/3/14 – 15 pages • Second stage: 23 proposals, deadline 28/8/14 – 70 pages • Retained: 6, notification 28/1/2015, ratio: 8% • Starting date: 1/5/2015 • Duration: 36 months • Project officer: Bipin RADIA Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 3
Abstract • A platform optimizing multimodal door-to-door transport of passengers and goods – Integrating travel information, planning and ticketing services – Automatically analysing non-real-time data from heterogeneous databases (on road, railway and urban transport systems); real-time measured data (traffic, weather forecasts); user profiles; user feedback – Supported by an innovative information-centric communication network that collects and distributes all the data required • Internames, allows communications among entities identified by names, without the constraint of a static binding to a particular location Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 4
Abstract • The request of a “user” (be it a person or a parcel) to travel from source to destination is managed with several tools – Metadata Handler collects and elaborates data related to the request and generates a corresponding Context – User Profiler creates a personalized profile, conveying requirements including Quality of Experience parameters and special needs – Multi-Objective Optimizer develops personalized travel instructions, optimal for the Context and User Profile. The user may give feedback, before accepting the travel itinerary. – Actuator triggers the necessary services – Tariff Scheme Designer exploits platform data to define multi-part tariff schemes. • Platform demonstrated in integrated, large-scale, real life application scenarios Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 5
Main objectives 1. Multi-objective optimization algorithm providing a multi-modal travel itinerary by trading-off simultaneous – sub-objectives • travel schedule, travel duration, travel cost, travel emissions, overall travel reliability, load capability, type of goods, etc simultaneously taking into account : – • non-real time characteristics (e.g., coverage, routes, schedules, type of goods,…) of the candidate transportation means (e.g., public transport such as bus, train, boat, taxi, airplane; private transport such as car, bicycle, walking, cooperative modes like car-sharing, trucks) • real-time requirements (e.g., traffic congestion, temporary road barriers, lane closures, temporary speed limits, new stops as a result of customers’ requests, available space and weight to complete the load etc.) • user profiles and users feedback (see the "Personalization" issue below) • dynamic tariff schemes (see the "Tariff scheme" issue below) Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 6
Main objectives 2. Personalization aimed to meet specific user preferences, needs and expectations in – terms of travel schedule, travel duration, travel cost, transport means, travel reliability, etc. – performed on the basis of an automatic mapping of each user to the most appropriate user profile and on the basis of the automatic interpretation of the feedback provided by each user • A further objective lies in the identification of the user profiles in a data- driven fashion through appropriate machine learning techniques Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 7
Main objectives 3. Tariff Schemes encouraging the use of specific classes of mobility and delivery – services (e.g., those with a lower environmental impact, type of good) – creating new business opportunities for the transport operators, which can offer special prices for multimodal travel – integrated in the multi-objective optimization framework, possibly allowing dynamic changes and re-negotiations during the trip Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 8
Main objectives 4. Interoperability natural and simple interoperation among heterogeneous transport – operators – technology-independent, so that it can work with any transport operator, regardless of the technology the operator adopts for data acquisition/storage, the database organization or its data format • homogeneous metadata obtained by appropriately converting the heterogeneous data of different, individual transport operators Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 9
Main objectives 5. Internames Communication System providing seamless connectivity across different existing network realms (that – may be administered by distinct transport operators or authorities); – native support of mobility and security issues – travel-centric primitives for push/pull based services high efficiency in communication and processing operations – graceful deployability and interoperability with existing and – upcoming networking • name-to-name communication • requests from users treated as a subscription that is maintained in the network • dynamic ‘matchmaking’ between users (people, goods) wishing to travel from a starting point to a destination and the (potentially dynamically) demand-response based scheduled transport of selected groups of transport/mobility operators Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 10
Main objectives 6. Security and privacy – data-centric techniques, where security and privacy rely on information exclusively contained in the message itself, or, if extra information provided by trusted entities is needed, this should be gathered through offline, asynchronous, and non interactive communication, rather than from an explicit online interactive handshake with trusted servers – protecting information at the source, by embedding security information in the content, is more flexible and robust than delegating this function to applications, or securing only the communications channels. Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 11
Preliminary architecture Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 12
Use cases • Travel between two cities, both passengers and goods, different means of transport both within and between the cities: private and public vehicles, fully electric vehicles, trains, undergrounds, busses, trucks, electric bicycles, and bicycles • Parameters characterizing – Means of transport (e.g., vehicle speed and costs, vehicle energy model, load capability) – User preferences (e.g. maximum trip duration, number of travellers, environment sustainability, preferred mode of transport, willingness to walk …) – User feedbacks (e.g. level of quality experienced by each user during the travel) – Context parameters (e.g. timetables, meteorological forecasts, traffic congestions) – Flexible tariff schema Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 13
Use cases • Client application (on mobile phones) searches the entire data model and combines travel solutions, indicating: – Fares restrictions and rules – Suggested Origin – Total travel time from Origin to Destination – Different mode of transport and changes – Walking distance on changes and departure/arrival, if required – Environment impact • Each solution can be selected and application leads to transaction Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 14
Use cases • Platform will provide operators with information on the main user profiles – exploit congestion-pricing and provide dynamic pricing • In the case of goods the platform will gather information about transport carriers’ profile ( eg. usual itineraries, fleet characteristics, tariff conditions) – flexible features such as real-time pricing, dynamic matchmaking between users’ needs, company’s offers and location and availability of urban delivery slots near destination • in the case that the truck/van is almost full, launch a better offer to complete the load – package delivery in “dynamic mode”, where customers’ requests arrive when the service is already running and, consequently, the solution may change whilst the vehicle is already travelling Nicola Blefari Melazzi, blefari@uniroma2.it, http://blefari.eln.uniroma2.it 15
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