402
J. Druschke et al.
Fig. 26.2 Computed tomography scan of the primary board
Table 26.2 Vehicle
population by fuel type in
Germany (Federal Motor
Transport Authority Germany
2018b)
Fuel type
Number
Share (%)
Petrol
30,451,268
65,5
Diesel
15,225,296
32,8
Liquid gas (LPG)
421,283
0,9
Hybrid
236,710
0,5
Natural gas (CNG)
75,459
0,2
Electric
53,861
0,1
Other
10,717
0,0
Total
46,474,594
100
26.2.2 Server Infrastructure
The sensors are equipped with SIM cards from Deutsche Telekom and use the public
telecommunication network to connect the backend systems. These backend systems
consist of the parking prediction servers, the app’s application server, various interfaces and external data source connections. In total the present architecture model for
“Park&Joy” use 10.6 Servers for all system relevant tasks, for example navigation,
prediction, device management, monitoring or payment processing. Due to the only
partial use of certain servers reasoned by the degree of virtualization and usage of
J. Druschke et al.
Fig. 26.2 Computed tomography scan of the primary board
Table 26.2 Vehicle
population by fuel type in
Germany (Federal Motor
Transport Authority Germany
2018b)
Fuel type
Number
Share (%)
Petrol
30,451,268
65,5
Diesel
15,225,296
32,8
Liquid gas (LPG)
421,283
0,9
Hybrid
236,710
0,5
Natural gas (CNG)
75,459
0,2
Electric
53,861
0,1
Other
10,717
0,0
Total
46,474,594
100
26.2.2 Server Infrastructure
The sensors are equipped with SIM cards from Deutsche Telekom and use the public
telecommunication network to connect the backend systems. These backend systems
consist of the parking prediction servers, the app’s application server, various interfaces and external data source connections. In total the present architecture model for
“Park&Joy” use 10.6 Servers for all system relevant tasks, for example navigation,
prediction, device management, monitoring or payment processing. Due to the only
partial use of certain servers reasoned by the degree of virtualization and usage of