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#6 - Hahn, Jesper, Ly, Riccardo. Problem - 30% of the city traffic consist of people searching for a parking spot For the driver  Waste of time and fuel.

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Presentation on theme: "#6 - Hahn, Jesper, Ly, Riccardo. Problem - 30% of the city traffic consist of people searching for a parking spot For the driver  Waste of time and fuel."— Presentation transcript:

1 #6 - Hahn, Jesper, Ly, Riccardo

2 Problem - 30% of the city traffic consist of people searching for a parking spot For the driver  Waste of time and fuel For society  Negative impact on local economy and life quality For the government  Loss of revenue - The urban population is growing, and so are the problems

3 The Italian Parking System  Parking machines  Scratch Paper

4 Problems with this System EPA has defined the Italian parking situation as critical

5 Possible Solutions 1. Online parking reservation  Only works for private parking spots 2. Satellite pictures to identify free spots  Advance recognition technology is needed  Costly 3. Smart Garages  Real estate space is limited and expensive in the city 4. Temperature sensors  Not feasable because of heat differentiation 5. GPS Check in  Unstable signal -> Not accurate enough 6. Proximity sensor + base station  Inaccurate and low signal range

6 Initial Idea  Sensors in each parking spot  Drill the road and insert a sensor  Detects movement or the presence of large metal objects nearby  If the sensor is within two or three feet of the car, it will register a huge increase in metal or object, When the metal or object content suddenly drops, we know a car left

7 Problems  Cost  Interfererence  Time  Asphalt unpredictable  Require mapping and installation in each spot

8 New Solution  Signal free spots without sensors  Integration of new application and traditional parking machines

9 Parking Machine  Spot #  ID/Password  Time  Payment method

10 User Application (navigation)

11 User Application (Park in/out)

12 User Application (extra features)

13 Police Application

14 User Application (interface)

15 Connections

16 Benefits User  Reduce time, fuel and frustration, no fees for late parking (save $)  No more coins  Car positioning Society  Improved environment (local and global)  Economic benefits Govenment  Increase their revenues  More control of the parking situation  Less personel needed  The cities can price their parking spots according to their actual value

17 What Needs to be Done?  City mapping  Application development (User + Police)  Parking machine development  Cloud system development  Determine developing costs  Establish government contracts  Raise funds

18 Difficulties  Government are seldom early adopters  Mapping the city can be difficult  Infrastructure projects take a long time and might be costly  Hard to predict user adoption of the system

19 Implementation Plan Year 1 Market research Europe Develop prototypes of application (Mock-up, brainstorming, alpha version) Form a team + feedback First fundraising Beta version of application Machine R&D Year 2 Develop the technologies needed for the machine and application Second fundraising Start establishing contracts with governments Map parking spots for pilot project Establish cloud system Year 3 Pilot project + feedback + iteration Year 4- Start full implementation

20 Q&A  Thank you for listening!

21 Costs Developing Costs  Application (Smartphone, Parking Machine, Police PDA)  $50’000  Parking Machine (prototyping, iterations)  $300’000 Manufacturing cost  Parking Machine  $400 Maintenance costs  $50 per machine and year Other costs


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