• LarkcProject
• WP6
• WorkInProgress
• StoryBoardOriginalVersion

Getting to Milano - original version

Motivation

This use case shows the added value of collecting a broad set of information around traffic, of integrating it and of using it to support a citizen that has to go to Milano from another city in Lombardy region.

Preconditions

• All relevant source of information are known when the citizen uses the system, but data can be obtained at execution time.
• Citizens are recorded in the Milano Urban Computing System (MUCS), they authorized UCS to notify them information sending SMS to their mobile phone.
• Some integrated business model among the various actor is in place.

Story board

1. Carlo is a citizen leaving in Varese 60 KM North-West of Milano

2. Carlo has to go to the Lombardy Region premises in via Taramelli, 20; he arranged a meeting at 11.00 for 25.9.2008

3. The day before the meeting he enters MUCS and open the "plan a travel" service
4. Carlo fills in the required data
   • FROM: via Luigi Sacco, 1 Varese
   • WHEN: after 8.00 - 25.9.2008
   • TO: via Taramelli, 20 Milano
   • WHEN: before 11.00 - 25.9.2008
   • USING: private car

5. MUCS performs as Google Maps does today and give the resulting driving directions, but instead of saying that such a travel requires 49 minutes, MUCS explains Carlo that he should leave home after 9.00 (when the usual commuters traffic on A8 is almost over)

6. MUCS also asks Carlo if he wants to be inform via SMS about traffic conditions and possible alternative driving directions
7. Carlo agrees and exits MUCS
8. The day after (25.9.2008) an accident involving multiple vehicles take place at 8.15 on A8
9. MUCS estimates that an accident of such kind will result in a congestion of A8 until 10.00, therefore it checks if any planned travel is at risk. It finds Carlo's travel.
10. MUCS checks if Carlo can take an alternative drive, but no alternatives are found that allow Carlo to get to Milano in time for its meeting.
11. MUCS checks if Carlo can take public transportation instead. It founds some alternatives:
    • Using Ferrovie Nord Milano + Passante + Metro M3
      • Walk from Via Sacco, 1 Varese to Varese Casbeno train station, it takes 7 minutes

      • Railroad LeNord: 8.39 Varese Casbeno - 10.03 Milano Piazza Repubblica

      • Metro M3: Repubblica - Zara, every 5 minutes and takes 3 minutes (Repubblica is the name of the metro station colocated with the train station di Milano Piazza Repubblica)
      • Walk from Zara to Via Taramelli, 20, it takes 5 minutes
    • Using Ferrovie dello Stato + M3
      • Walk from Via Sacco, 1 Varese to Varese Stato train station, it takes 12 minutes

      • Railroad Ferrovie dello Stato: 8:43 Varese Stato - 9.55 Milano Piazza Repubblica

      • Metro M3: Repubblica - Zara, every 5 minutes and takes 3 minutes (Repubblica is the name of the metro station colocated with the train station di Milano Piazza Repubblica)
      • Walk from Zara to Via Taramelli, 20, it takes 5 minutes
12. MUCS sends an SMS to Carlo informing him that a accident is holding up A8 and he is better using a public transportation; two itineraries have been already prepared for him
13. Carlo enters the MUCS service and checks the two alternatives. He chooses the first one and uses the ticket-less option to by the train ticket.

Note from Siemens: after having got the notification message at 8:15 (a few minutes delay is also imaginable) Carlos has only very limited time. He has to leave home in exactly 17 minutes if considering 7 min taken to arrive at the train station. As the previous plan suggests a starting time after 9 o’clock, he might be having breakfast in home dress with slippers at 8.15. Then he has to manage everything very quickly and run.

Story board(Extended)

1. MUCS may handle several information sources
   • Weather data through the route
   • Nearest gas station including the price of gas
   • Real time traffice congestion status on top of historical traffic congestion statistics
   • Personal information for the meeting including other participants email, cellular, and location
   • Historic and tourist attaction point
   • Emergency policy for infrastructure including flooding, poison gas leakage, avalanche, etc
2. Possible scenario with extended information sources
   • MUCS estimate the total travel time considering weather condition of the day
   • MUCS predit the remaining time for the destination while driving with real time traffic status
   • MUCS recommend the cheapest or the nearist gas station if Calro need refuel
   • MUCS ask Calro if he/she want to let other participants know the same information he/she received. (like weather condition or traffic accident, or may be late for the meeting)
   • MUCS automatically connect to other relevant system for quick resolution. (like fire station or hospital)
   • MUCS let know Calro other paticipants location if they are very close in distance
   • MUCS inform Calro the upcoming historic/tourist place while driving if Calro's preference is met