reach - accesshantering i realtid för ökad transporteffektivitet

REACHAccesshantering i realtid för ökad transporteffektivitet

Per Olof Arnäs, Chalmers Stefan Jacobsson, Consenso

Bilder finns på slideshare.net/poar

ICT MaturityApp

"Multi-Touch" by DaveLawler on Flickr (CC-BY)

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

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

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

Image: Alain Delorme, alaindelorme.com

The current model is focused on economy of scale and standardization

En la cima! by Alejandro Juárez on Flickr (CC-BY)

3 mountaintops to climb…

En la cima! by Alejandro Juárez on Flickr (CC-BY)

3 data types

Mountaintop #1

Collection of data in real-time

Fixed Historical Snapshot

En la cima! by Alejandro Juárez on Flickr (CC-BY)

Mountaintop #1

Collection of data in real-time

5 data domainsVehicle CargoDriver Company

Infrastructure/facility

at leas

t…

LengthWeightWidthHeight

Capacity+ other PBS-criteria

EmissionsFuel consumption

Route

PositionSpeed

Direction

WeightOrigin

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

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

Mountaintop #2

Processing of data in real-time

En la cima! by Alejandro Juárez on Flickr (CC-BY)

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)

Requirement

Transport 1

Transport 2

Requirement

Transport 1

Transport 2

No access!

Full access!

Smart access/guidance control

Smart access/guidance control

Smart access/guidance control

Smart access/guidance control

Requirements. Different.

Port area

City center

Freight terminal

Bridge

CASES (MANY)

CASES (MANY MORE)

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.

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

Studieobjekt

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

FIFFI

QTS - Qualifying Transport Systems

Analysområde C: Tekniker för överföring av

information mellan infrastruktur och fordon

Analysområde D: Interaktion mellan

terminaler och trafik

PartnersTjörns bilservice

ProjektetTjörns 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

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

REACHAccesshantering i realtid för ökad transporteffektivitet

Per Olof Arnäs, Chalmers Stefan Jacobsson, Consenso

Bilder finns på slideshare.net/poar