Presentation av forskningsprojektet REACH. Ambitionen med REACH är att, genom digital realtidsinteraktion, möjliggöra individualiserade nyttor för enskilda transporter beroende på situationsspecifik data. Vi vill inom projektet utveckla kunskap som möjliggör avancerat samarbete i realtid mellan infrastruktur/facilitet och fordon/farkost.

1. REACH
Accesshantering i realtid för ökad transporteffektivitet
Per Olof Arnäs, Chalmers
Stefan Jacobsson, Consenso
Bilder finns på slideshare.net/poar

3. ICT Maturity
App
"Multi-Touch" by DaveLawler on Flickr (CC-BY)

4. January February March April May June July August September October November December
10%
Nov 25
When do we start generating profit?
Profit margin =
Sales - Cost
Sales

5. January February March April May June July August September October November December
10%
Nov 25
2%
Dec 25
When do we start generating profit?
Profit margin =
Sales - Cost
Sales

6. January February March April May June July August September October November December
10%
Nov 25
1%
Dec 29
2%
Dec 25
When do we start generating profit?
Profit margin =
Sales - Cost
Sales

7. Image: Alain Delorme, alaindelorme.com
The current
model is focused
on economy of
scale and
standardization

8. En la cima! by Alejandro Juárez on Flickr (CC-BY)
3 mountaintops to climb…

9. En la cima! by Alejandro Juárez on Flickr (CC-BY)
3 data types
Mountaintop #1
Collection of data in real-time
Fixed Historical Snapshot

10. En la cima! by Alejandro Juárez on Flickr (CC-BY)
Mountaintop #1
Collection of data in real-time
5 data domains
Vehicle CargoDriver Company
Infrastructure/
facility
at least…

11. Length
Weight
Width
Height
Capacity
+ other PBS-criteria
Emissions
Fuel consumption
Route
Position
Speed
Direction
Weight
Origin
Destination
Accepted ETA
Temperature
+ other state variables
Temperature + other state
variables
Education/training
Speed (ISA)
Rest/break schedule
Traffic behaviour
Belt usage
Alco lock history
Schedule status (time to
next break etc.)
Contracts/
agreements
Previous interactions Backoffice support
Fixed Historical Snapshot
Vehicle
Cargo
Driver
Company
Infrastructure
/facility
Map
+ fixed data layers
Traffic history
Current traffic
Queue
Availability
DATA MATRIX

12. Mountaintop #2
Processing of data in real-time
En la cima! by Alejandro Juárez on Flickr (CC-BY)
Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr

13. Mountaintop #2
Processing of data in real-time
En la cima! by Alejandro Juárez on Flickr (CC-BY)

14. Mountaintop #3
Exploiting data in real-time
En la cima! by Alejandro Juárez on Flickr (CC-BY)
Connected. 362/365 by AndYaDontStop
on Flickr (CC-BY)
Lisa for I/O Keynote by Max Braun on
Flickr (CC-BY)
Fulham-Manchester United
24-02-2007 by vuhlser on Flickr (CC-
BY)

15. Requirement
Transport 1
Transport 2

16. Requirement
Transport 1
Transport 2
No access!
Full access!

17. Smart access/guidance control

18. Smart access/guidance control

19. Smart access/guidance control

20. Smart access/guidance control

21. Requirements. Different.
Port area City center
Freight terminal Bridge

22. CASES
(MANY)

23. CASES
(MANY MORE)

24. REACH
AMBITIONEN MED REACH ÄR ATT, GENOM DIGITAL
REALTIDSINTERAKTION, MÖJLIGGÖRA INDIVIDUALISERADE NYTTOR FÖR
ENSKILDA TRANSPORTER BEROENDE PÅ SITUATIONSSPECIFIK DATA.
VI VILL INOM PROJEKTET UTVECKLA KUNSKAP SOM MÖJLIGGÖR
AVANCERAT SAMARBETE I REALTID MELLAN INFRASTRUKTUR/FACILITET
OCH FORDON/FARKOST.

25. En la cima! by Alejandro Juárez on Flickr (CC-BY)
Forskningsbehovet
Decentraliserade beslut
IKT möjliggörareITS-direktivet:
Optimal anv. av data
Kontinuitet i tjänster
Trafiksäkerhet
V2I

26. Studieobjekt

27. FFI:s färdplan, milstolpe 2:
Det anpassade och uppkopplade transportsystemet
U1: Transportflöden
U44: Intelligent
kommunikationsplattform -
Uppkopplad plattform,
U50: Tjänster - Rätt
tjänst inom Det
intelligenta
transportsystemet
U5 och U14: Transport
och logistik
U29, U36, U39:
Föraren, Fordonet och
Infrastrukturen

28. FIFFI
QTS - Qualifying
Transport Systems
Analysområde C: Tekniker
för överföring av
information mellan
infrastruktur och fordon
Analysområde D:
Interaktion mellan
terminaler och trafik

29. Partners
Tjörns bilservice

30. Projektet
Tjörns bilservice
Finansiärer:
FFI (FIFFI)
Logistik- och
transportstiftelsen LTS
Budget
Totalt 8,07 MSEK
FIFFI: 4,61 MSEK
LTS: 0,75 MSEK
Övriga: 3,0 MSEK

31. RQ1a: What are the characteristics of the studied system?
RQ1b: How is access managed today in the studied system?
RQ2: What data/information are required and/or missing for access management in the studied system?
RQ3: How can access management increase the efficiency/performance in the studied system?
RQ4: What are the improvements of using access management in the studied system?
2014 2015 2016

32. REACH
Accesshantering i realtid för ökad transporteffektivitet
Per Olof Arnäs, Chalmers
Stefan Jacobsson, Consenso
Bilder finns på slideshare.net/poar