Getting to Milano

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

Story board

  1. Carlo leaves in Varese 60 km North-West of Milano
  2. Carlo has to go to the Lombardy Region premises in via Taramelli, 20 where he arranged a meeting at 11.00 for 25.9.2008
  3. The day before the meeting he enters MUCS and opens 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: any means of transportation
  5. MUCS provides Carlo with three alternatives, two using public transportations (i.e., A and B ) and one by using his private car (i.e., C)

    1. Using railroad Ferrovie Nord Milano and Metro M3, leaving home at 8.30 and arriving between 10.15 and 10.30.

      • 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

    2. Using railroad Ferrovie dello Stato (alternative to the previous one) and Metro M3; leaving home at 8.20 and arriving between 10.05 and 10.20.

      • 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
    3. Using Private Car; leaving home around 9.30 and arriving between 10.10 and 10.40.
      • In this case 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 9.30 (when the usual commuters traffic on A8 is almost over)
  6. Carlo is tempted by option C, he could sleep a little longer, but while travelling by train he could complete the presentation for the meeting so he chooses the option A since he has to walk for a shorter distance, and he uses the ticket-less option to buy the train ticket.
  7. MUCS also asks Carlo if he wants to be alerted via SMS if the option he chooses is no longer the best one (e.g., due to problems to the railroads)
  8. Carlo agrees and exits MUCS

  9. The day after (25.9.2008) at 7.14 MUCS learns from the railroad information system system of railroad “?LeNord” that a technical problem is causing an average delay of 45 minutes to all “leNord” trains from Varese to Milano.

  10. MUCS estimates that an accident of such kind will not be solved before 11.00, therefore it checks if any planned travel is at risk. It finds Carlo's travel.

  11. MUCS checks if the other options it proposed to Carlo are still valid. Apparently they are so MUCS sends an SMS to Carlo informing him that an accident is causing 45 minutes delay for all trains on railroad “?LeNord” and he can either use the railroad “Ferrovie dello Stato” (option B ) or take his private car, in this case Carlo can convert his train ticket into a daily parking ticket for one of the parking lots of the sub-urban metro stations in Milano.

  12. Carlo receives the SMS, he enters the MUCS and checks the two alternatives. He can take option B, but he knows that when problem of this kind happens on ?LeNord, all commuters take the other railroads and he will never be able to find a sit. On the other hand, MUCS (taking into consideration weather data through the route and real time traffic congestion status on top of historical traffic congestion statistics) predicts that being a rainy day the traffic on A8 will be slower and he could arrive in time only leaving around 9.00.

  13. Carlo decides to take his car, in this way he has all the time to complete the presentation before leaving. He leaves home around 9.00 and instructs its GPS Navigator to interact with MUCS traffic service and to find the cheapest gas station along the road.
  14. During the driving Carlo receives the instructions for the gas station and refuels the car.
  15. At a certain moment his GPS Navigator receives alert from MUCS: Milano North-West area is hit by heavy showers and the traffic is getting slower. Instead of going to the planned North-West parking lot, the GPS suggests to go to one in the South-West; the metro from there will only take 10 minutes more than from the planned parking lot, but the estimated time from the planned parking lot is 25 minutes more than the originally planned time.
  16. Carlo considers the option and decides to follow it.
  17. Carlo parks the car and taking the metro arrives in time to his appointment.

Further extensions to this story board

LarkcProject/WP6/WorkInProgress/StoryBoard (last edited 2008-09-05 15:40:04 by ?YiHuang)