harmonizing alpine traffic data

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1 The AlpCheck Information System AlpCheck Final Conference, Venice June 26, 2008 PARADIGMA Rudolf J. Bauer

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Page 1: Harmonizing Alpine traffic data

1

The AlpCheck Information System

AlpCheck Final Conference, VeniceJune 26, 2008

PARADIGMARudolf J. Bauer

Page 2: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 2

Purpose and scope of the Information System

To collect and combine high quality information on Alpine transport – Emphasis on road based cargo traffic– Using existing surveys, count data from highway operators,

data collected from the pilots To provide analytic capabilities to understand the data

and to use it for planning purposes– Operational, tactical and strategic level

To deploy cutting edge business intelligence technology in the domain of transportation planning– Multi-tiered architecture– Documenting the genealogy of the data– High performance processes and data base management

systems

Page 3: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 3

Traffic data sources in the ALPCHECK Information System

Data Set Type Description

CAFT O/D Cross Alpine Freight-Transport/BMVIT survey

ASFINAG Count hourly count at selected highway locations in Austria 2004-2006

ASPI Count hourly count at selected highway locations from Autostrade per l'Italia

VENT Count Alpcheck Pilot, Ventimilia

TF Count Frejus Tunnel Pilot Data

TMB Count Mont Blanc Tunnel, Pilot Data

TGSB Count Grand Sant Bernardo

HTLS O/D SLALA/IREALP Pilot data

WIM O/D Venice/Stuttgart Pilot data

OMEGA Count Slovenia Pilot, Traffic Count

Page 4: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 4

SuperCross

Page 5: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 5

CSST Web-GUI

Selection window

Results window

one time series and diagram for each

year (and possibly each

vehicle and load type)

selection summary

selection by:- section and direction- data origin campaign)- vehicle and load type

Page 6: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 6

Metadata: collection description

Page 7: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 7

Metadata: individual attributes descriptions

Page 8: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 8

The Common Data Model

Number of trucks

Traffic Counts

Origin &Destination

O/D Tours

Vehicles Commodities

Region

Section

Location

Year

Month

Day

Event

Page 9: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 9

Common Database (SuperSTAR)

Estimated goods distribution

(CAFT extrapolated with ASFINAG 2004-06) Brenner

2004-06

Page 10: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 10

Multi-Tiered Architecture Conceptual View

Staging Area: the raw data

Data Warehouse: the authentic data

statistical data analyses layer

Presentation layer

Met

adat

a

Page 11: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 11

Multi-Tiered Application Architecture

CSV files

IBM DB2

SUPERSTAR

SuperWeb, SuperCross

PD

F,

HT

ML

Kettle

SuperCHANNEL

WEB-GUI

MS ACCESS

Page 12: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 12

Datawarehouse

Staging Area(csv, xls,

etc.)

Datawarehouse Common Model

Common DB(SuperSTAR Data Marts)

Individual Sets(SuperSTAR)

ETL routinesKETTLE

ETL routinesKETTLE

ImportSuperCHANNEL

ImportSuperCHANNEL

Load and update process design

Page 13: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 13

Transformation and load process (ETL)Job controlling the update of OMEGA data

1. Set up parameters and find new input files.

2. If new files available, iteratively update staging area.

3. If all files have been used in update, create and install new SuperSTAR database.

Page 14: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 14

Amount of data

1 10 100 1.000 10.000 100.000 1.000.000 10.000.000 100.000.000

CAFT

ASFINAG

ASPI

Ventimiglia

Frejus

Mont Blanc

Great St. Bernard

SLALA/IREALP

Venice WIM

Slovenia Pilot

approx. batch size (records) # records in DB

Page 15: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 15

Benefits, lessons learned

BI Technology can be successfully applied to support traffic planners

The ALPCHECK system is scaleable and performs to expectations

Powerful and easy to use analysis tools support the traffic planner

Heterogeneous data can be compared to enhance the analysis process

Readily available descriptions support the interpretation of the data

Page 16: Harmonizing Alpine traffic data

© Copyright 2008 Paradigma Unternehmensberatung GmbH 16

ALPCHECK – the way forward

[ALPCHECK information system] – extraction from feeder systems (FTP)– Automatic, scheduled transformation and update– Data interpretation and analysis (query and analysis)

[Decision Support System]– Model supported interpretation and analysis – Analyse traffic data in combination with trade data – Data presentation (geo-referenced user interface)

[Infomobility]– Expansion of scope (multimodal, passenger traffic)– Dynamic acquisition of real time traffic data – Expand usage from planning to traffic management