Computer Technology Institute, Greece

German Aerospace Institute, Germany

Vienna University of Technology, Austria

Emphasis Telematics, Greece

Geomatics, Greece

Greenway Systeme, Germany

WIGeoGIS, Austria

TALENT, Greece

http://www.trackandtrade.orga co-operative research project funded by the European Commission

TRACK&TRADE Web presentation

Project OverviewSlide 2 of 12

Motivation

Use of Floating Car Data (FCD) to assess “traffic”

Floating car data?– basic vehicle telemetry, e.g., speed, direction, ABS use

– the position of the vehicle ( tracking data)

– GPS tracking

Traffic assessment– data from one vehicle as a sample to assess overall

traffic conditions – cork swimming in the river

– large amounts of tracking data (e.g., taxis, public transport, utility vehicles, private vehicles) accurate picture of the traffic conditions

– >>>cheap data source<<<

TRACK&TRADE Web presentation

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Motivation

Travel time fluctuation in road network

Live assessment – deriving travel times from FCD

(tracking data)

– one vehicle one route

– many vehicles (good) coverage of the entire road network

Historic data– collections of FCD to derive

trends

– complement live data

TRACK&TRADE Web presentation

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The Project Goal

To build a Web-based platform that

1) enables “people” to contribute their “tracking” data in the “simplest” possible way and

2) based on the collected tracking data, provides basic, value-added services (API) serving as building blocks for rich(er) services.

TRACK&TRADE Web presentation

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System Overview

Public data collection and dissemination site

Web services

Data collection

Data dissemination– travel time maps

– travel time assessment

– travel time prediction

– building blocks for richer applications/services

TRACK&TRADE Web presentation

Project OverviewSlide 6 of 12

Data Scenario GPS vehicle tracking data

– large variety of vehicles

– vehicle fleets, e.g., taxis, school buses, delivery trucks,

– indiv. vehicles

Real-time data – Berlin, Vienna, and Athens

Berlin Vienna Athens

TRACK&TRADE Web presentation

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Data Scenario

Definition of a data model for FCD (tracking data)

– rely on existing standards (KML, geoRSS)

Creation of a data collection service for FCD– key aspect – simple set up for adding new FCD source to data

mart

– analysis of data provider expectations – encryption, type of connection

TRACK&TRADE Web presentation

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Data Pre-Processing

Map-matching algorithms– relating the GPS vehicle tracking data (FCD) to

road network

– compensates for measurement (GPS) and sampling error (30s) in the tracking data

TRACK&TRADE Web presentation

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Data Management

Computing link-based travel times– derivation of current and future travel times from collected

– current and

– historic travel time data

From route-based to road-based travel times– “distributing” travel times from routes (tracking data)

to links in the road network

Inhomogeneous FCD problem– different types of vehicles producing data

– making travel time data comparable

TRACK&TRADE Web presentation

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Services

FCD collection service– simplest possible way for new data providers to connect to the

data mart

Value-added services to provide elementary building blocks of rich(er) services (API)

– Travel time maps – visualization of travel time conditions

– Travel-time assessment and prediction service - given a road network and time horizon provide (expected) travel times

Evaluation– integration with existing services – fleet management, routing,

traffic-light switching

TRACK&TRADE Web presentation

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Platform

Integrating data management and servicesinto a single platform

Web+Map interface based on the Cruiser platform

TRACK&TRADE Web presentation

Project OverviewSlide 12 of 12

Contact

Dieter PfoserRA Computer Technology InstituteDavaki 10GR-11526 Ampelokipoi, AthensGreece

Phone: +30-210.6930.700Fax: +30-210.6930.750email: pfoser.cti.gr Web: www.trackandtrade.org