The Future mobility acceleration with Fujitsu Connected Services. With the growth in connected cars, autonomous driving, sharing services, ride hailing and electric vehicles, the automotive industry is moving toward a services-led automotive ecosystem commonly known as Mobility as a Service. This has dramatically increased the demand for a fast and flexible mobility service platform that is capable of rapidly processing the vast quantity of data that mobility innovation generates, as well as streamlining applications’ access to that data and those vehicles. Fujitsu brings its integration experience to offer mobility technologies and services including 5G capability to solve large data problems.

1. Fujitsu
Future Mobility
Accelerator
Hugo Lerias (CTO Automotive)
Manfred Braun (Principal Consultant)
10.12.2019, The Future of Transportation World Conference 2019

2. Fujitsu
Future Mobility
Accelerator
We Co-create for Human
Centric innovation
Fujitsu is a global
technology and engineering
company
A deep relationship
with all OEMs in Japan




3. Challenges
in the Shared
Mobility Market
Business
Models
Eco-
system
Tech-
nology
Efficient
Operations
Powerful
Partnerships
Customer
Experience
OPTIMIZATION

4. Whats the Problem?
How to make your fleet customer oriented and profitable

5. 5 © 2019 FUJITSU
Characteristics of Vehicle Routing Problem (VRP)
 VRP is a combination of the knapsack problem and the traveling salesman
problem.
 Due to the large number and complexity of parameters, it was difficult to solve
the problem
5kg($9)
2kg
($5)
8kg
($8)
2kg
($5)
3kg
($3)
6kg
($8)
Max 10kg
+ =
Knapsack problem Traveling salesman problem Vehicle Routing Problem (VRP)
Passenger
Passenger
Vehicle
Vehicle
Vehicle
Passenger
Passenger
Passenger
Vehicle

6. 6 © 2019 FUJITSU
Vehicle Routing Problem optimization problem
 What is Vehicle Routing Problem (VRP) ??
 Problem of planning a vehicle allocation plan that satisfies customer's usage
demand
Driver
Passanger
Garage
Huge number of combinations
Difficult settings
Number of cars and drivers position: 22 and
number of tracks: 5 then 41943035 =
approximately 1.29 × 1033 combinations of
shortest distance
・ Dozens of cars and dozens of passengers
and destinations
・ There are many problem requirements
for each customer
・ Real-time response to get the best car
for customer demands
Vehicle
Vehicle
Vehicle
Passanger
Passanger
Passanger
Passanger
Passanger
Passanger
Vehicle

7. 7 © 2019 FUJITSU
Develop new architecture to solve
“Combinatorial optimization problems”
 Quantum computer still has many problems to be solved makes it difficult to apply to practical use
 The new architecture, “Digital Annealer" is to solve "combinatorial optimization problems" at high
speed with digital circuit which was inspired by quantum annealing
Classical computers
New architecture
computers
Digital Annealer
Quantum computers
Neuromorphic
computers

8. 8 © 2019 FUJITSU
How to connect all the devices and
participants?

9. 9 © 2019 FUJITSU
Network Topology up to 4G
RAN
Radio Access Network
Mobile Operator
Core / Backhall
Provider
Datacenter
The interactive
Carsharing fleet
Data Pipe Data Pipe
Max objects to be handled an Area Depends on
Pipes and Calculating Power

10. 10 © 2019 FUJITSU
More Cars – More Data – More Trafic
RAN
Radio Access Network
Mobile Operator
Core / Backhall
Provider
Datacenter
The interactive
Carsharing fleet
The maximum size of objects will be restricted by Data Traffic
due to increasing Transmission Costs
Data Pipe
Data Pipe
Data Pipe

11. 11 © 2019 FUJITSU
You have to change the Approach
?Possible wit next 5G Release
Access and Backhaul integration
To much Data from a small
Number of Objects
!Dezentraliced Calculation with
Centraliced Management

12. 12 © 2019 FUJITSU
We Use the eMBB Feature from 5G to decentralize the Calculation Load
EDGE Computing allows to decentralize the Solution
Source: VIAVI Solutions Inc.

13. 13 © 2019 FUJITSU
Decentralized Routing based on EDGE Technology
RAN
Radio Access Network
Mobile Operator
Core / Backhall
Provider
Datacenter
Data Pipe Data Pipe
Nearly no limits to calculate optimized Car availability
for Passenger and Operator
The interactive
Carsharing fleet

14. 14 © 2019 FUJITSU
Fujitsu 5G Solution Vision
Digital OUTCOMES for Mobility Service Provider
Software-defined
and orchestrated
Virtual RAN, core
with MEC
Open source-based
IoT Framework
Multi-layer,
multi-vendor

15. 15 © 2019 FUJITSU
Solution
5G private network and
edge computing with
video surveillance and
analytics
Customer problem
Multiple congested parking lots
and lack of parking management
impact local businesses
5G Pilot Overview

16. 16 © 2019 FUJITSU
5G Solution Ecosystem
 Fujitsu solution ecosystem composed of organic and partner products
 Selecting competitive and disruptive partners for 5G technologies
 Fujitsu performs end-to-end integration and validation
 Offered as a unified connectivity platform to meet new 5G use case requirements