data collection for modelling urban freight transport · • developing demand sub-models (esp....
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Data collection for modelling urban freight transport
Dr Russell G. ThompsonUrban Logistics Studies Group
Department of Civil and Environmental EngineeringThe University of Melbourne
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Outline
Why collect data?Model development processFreight Movement Model (FMM) for MelbourneRecent studiesKnowledge managementInnovative methods
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Why collect data?Data is typically required for:
• Describing the physical system (transport networks & land- use)
• Representing the population (business registers)• Developing demand sub- models (esp. production,
distribution & vehicle loading)• Overall model validation (controls: traffic surveys)• Developing impact models (economic, social,
environmental
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ProblemDefinition Objectives Criteria
Resources
Verification
SystemsAnalysis
SystemsSynthesis
SoftwareDevelopment
Application
Validation
DataCollection
Model Development ProcessCity Logistics: Network Modelling and ITS, Taniguchi et al, 2001
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Freight Movement Model (FMM) for Melbourne
Aim
To develop a practical & operational freight movement modelling and forecasting capacity to assist the strategic planning of freight movements as a component of the total metropolitan Melbourne travel task
Being developed for the Department of Infrastructure, Victorian Government by a team led by IMIS
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FMM ApplicationsPredict road freight demand for changes in:
EconomyLocations & magnitude of freight generators & attractors
(e.g. ports & rail terminals)Transport networkDemographics (population & employment)Road freight & logistics sectorsLocation & operation of intermodal terminalsFreight vehicle technology (e.g. B- doubles) Infrastructure pricing policiesIndustry cost structures
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Integrated Commodity & Freight Database for Melbourne
The FMM project will effectively integrate existing and new data on commodity production and freight movement in Melbourne. The data will be used for:• development of commodity production and freightmovement models;
• development of freight vehicle ‘loading’ models and,in future, tour- based vehicle models;
• statistical ‘controls’, to ensure that the FMMestimates match total commodity production inMelbourne and freight movements across screenlines
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BusinessRegisters
On-road vehiclesurvey
Road freighttransport
business survey
Commodityproduction
business survey
Commoditydistribution
business survey
Road freightvehicle tour
survey
FMM Survey Components and SequenceIMIS 2006
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On-Road Vehicle SurveySurvey at locations on screen- lines between freight areas in Melbourne
Provides following data items, extracted from video images and automatic counters:
Freight vehicle classification (AUSTROADS)Freight transportation type (eg. tanker & container
carrier)Freight shipment class/packaging (eg. dry bulk &
palletised)Commodity class (ANZSCC)Vehicle registration plate details (contacts for business
surveys)
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On-road Freight Vehicle and Freight Type Survey
Freight Area
Travel Zone
Origin
Freight Area
Travel Zone
Destination
SamplingLocation
Screen Line
FreightCorridor
IMIS 2006
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Matched Video Images
Matched images are recorded for each freight vehicleRegistration numbers are used to access road freight transport businesses (number obscured for privacy)Freight and/or shipment types are recorded, providing ‘control’ data on commodity/shipment volumes across screen- lines
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Road Freight Business SurveyInterview of businesses sampled from the On- road Survey, or identified through a Business Register
Provides following data items, obtained from emailed Excel based questionnaires:
Freight transport business type and sizeCommodity types and quantities carried for the observed vehicle tripReceipt and dispatch time windowsLocations and contacts for upstream and downstream businesses Agreement to participate in the Freight Vehicle Tour survey
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Commodity Production Business Survey
Interview of businesses engaged in commodity production, contacted through the Freight Transport Business Survey, or a Business Register
Provides following data items, obtained through emailed Excel- based questionnaires and face- face interviews:
Industry class(es) for the business (ANSZIC)Type and quantity of major commodities producedProduction resources – employees and plant capacityFreight distribution to downstream supply nodes and external locationsTransport modes and time periods for freight movements
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Commodity Distribution Business Survey
Interview of businesses engaged in commodity storage and/or trans- shipment, contacted through the Freight Transport Business Survey, or a Business Register
Provides following data items, obtained through emailed Excel- based questionnaires and face- face interviews:
Same data items as for the commodity production businesses, but focusing on the freight distribution data items, to downstream supply nodes
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Road Freight Vehicle Tour Survey
Tracking of freight vehicle tours, for a sample of vehicles identified through the Freight Transport Business Survey
Data items, obtained through simultaneous use of GPS units & vehicle run- sheets:GPS dataOrigin, destination, chosen route, travel times between stops, travel distances & dwell times
Run- sheet dataCommodity type(s), vehicle & transport type, time windows, commodity quantities & % laden
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Recent StudiesAUSTROADS (www.austroads.com.au)
Best practice in road use data collection, analysis and reporting (AP- G84/04)Review of Freight Data Collection and Generation Procedures and Opportunities (AP- R283/06)
National Transport Commission (NTC)Twice the task (www.ntc.gov.au)
Victorian GovernmentInquiry into Managing Transport Congestion(www.vcec.vic.gov.au)
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Review of Freight Data Collection & Generation Procedures & Opportunities
• Collecting freight data once & using many ways is cost effective
• Major issues: confidentiality, security, access & distribution
• Lack of consistency, transferability & standardisation of data collection procedures
AUSTROADS AP-R283/06
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Review of Freight Data Collection & Generation Procedures & OpportunitiesNeed for:• Data co-operation• Meta data directories• National Transport Data Framework: AusLink, a
mechanism to better collect, manage & exchange data– Architecture & portal
• Determining a case for collaboration– Estimation of benefits & value– Identification of areas, desire & opportunities– Determine a business case for support
AUSTROADS AP-R283/06
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Best Practice in Road Use Data Collection, Analysis and Reporting
Principles
• Accuracy• Effectiveness• Efficiency• Reliability• Accessibility• Transparency• Timeliness• Relevance
AUSTROADS AP-G84/04
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Road Use Data Planning & Management Process
1. Stakeholder consultation (register & needs)
2. Data planning (review, goals & evaluation)3. Budget and programming (equipment &
maintenance costs)4. Data management (data collection,
validation, processing & storage)5. Data delivery (analysis, access & training)6. Review & audit (stakeholder consultation
surveys)
AUSTROADS AP-G84/04
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CULWAY• Unobtrusive, high speed Weigh-in Motion
(WIM) system• Based on strain gauge technology• Two lanes of traffic• Semi-permanent within pavement installed• > 140 sites operating in Australia• Accuracy GVM (±7% at 95%)
ARRB: www.arrb.com.au
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Load Distribution for "123" vehicles
10 20 30 40 50 60 70Gross Vehicle Mass (t)
CULWAY output
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Data Mining
• Identify sources of available data– data access & use, updating, maintaining data’s
currency• Identification of data sets in all necessary
categories• Data audit
– availability– useability– cost– confidentiality – commercially sensitive
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Meta DataDatabase of data resources available
• Data holders• Availability: access/acquisition conditions
(incl. time)• Costs, • Scope & scale• Data items & format• Quality• Limitations
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Innovative Methods• Information from track & trace systems
(eg. www.track-trace.com)• Satellite images: identify the composition of
the traffic stream & to count freight vehicles