AP-G84/04 Best practice in road use data collection, analysis ... - WIM

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Accessed by AR - ARRB TRANSPORT RESEARCH on 04 Feb 2005 TABLE OF CONTENTS 1 INTRODUCTION ...................................................................................................................1 2 BEST PRACTICE PRINCIPLES............................................................................................2 3 VEHICLE DETECTION AND CLASSIFICATION...................................................................3 3.1 Axle Sensor and Axle Counts .......................................................................................3 3.2 Inductive Loop Sensor and Vehicle Counts..................................................................5 3.3 Vehicle Classification System.......................................................................................6 3.4 Other Considerations..................................................................................................10 4 TRAFFIC COUNTING PROGRAM ......................................................................................13 4.1 Background.................................................................................................................13 4.2 AADT and VKT Estimation .........................................................................................14 4.3 Network Coverage ......................................................................................................23 4.4 Reporting ....................................................................................................................29 5 DATA INTEGRATION..........................................................................................................33 5.1 Road Use Data Types for Integration .........................................................................33 5.2 Correlation of Traffic Composition and WIM Data ......................................................35 5.3 Public-Private Partnership ..........................................................................................38 6 DATA INTEGRITY ...............................................................................................................39 6.1 Issues .........................................................................................................................39 6.2 Specifications for Data Collection Activities................................................................40 6.3 Quality Check and Dealing with Missing Data ............................................................41 6.4 Calibration of a WIM System ......................................................................................44 6.5 Accuracy Specifications..............................................................................................48 7 STAKEHOLDER CONSULTATION .....................................................................................49 8 CONCLUSIONS ..................................................................................................................51 REFERENCES ...........................................................................................................................53 APPENDIX A – NATIONAL GLOSSARY OF TERMS ................................................................53 APPENDIX B – NUMBER OF AADT OBSERVATIONS .............................................................53 APPENDIX C – EXECUTIVE SUMMARY OF LITERATURE REVIEW REPORT (RC2050-2) ..53 APPENDIX D – EXECUTIVE SUMMARY OF CURRENT AND FUTURE ROAD USE REPORT (RC2050-3) .................................................................................................................................53 Page
Accessed by AR - ARRB TRANSPORT RESEARCH on 04 Feb 2005 TABLES Table 1 Use of axle sensors under different AADT values......................................................4 Table 2 Current Austroads vehicle classification systems (updated in 1994) .........................7 Table 3 Vehicle classification systems currently in use...........................................................8 Table 4 Vehicle classification systems by lengths...................................................................9 Table 5 Accuracy requirements for individual sites ...............................................................17 Table 6 Accuracy requirements for groups of roads .............................................................17 Table 7 Examples of rounding AADT ....................................................................................18 Table 8 Adjustment factors by jurisdictions ...........................................................................19 Table 9 Some adjustment factors from short-term counts to AADT estimates......................20 Table 10 Densities for traffic counting stations........................................................................24 Table 11 National highway traffic counting station density by location and status..................24 Table 12 Groups by functional classes: ..................................................................................26 Table 13 Suggested volume stratification of road segments...................................................27 Table 14 Suggested volume stratification based on % change in AADT ................................28 Table 15 Complete list of data classes collected/computed and stored in Queensland .........31 Table 16 Mean axle group and gross vehicle mass ................................................................35 Table 17 RTA NSW rejection rules on classified counts .........................................................42 Table18 High-speed Weigh-in-Motion Systems Used and available in Australia (source: Koniditsiotis 2000) ......................................................................................45 Table 19 Accuracy requirements.............................................................................................48 Table B1 Calculation of the Number of VKT Stations..............................................................53 FIGURES Figure 1 A pair of pneumatic tubes and a vehicle classifier on a local road monitoring two lanes of vehicle traffic and a bicycle path on the nearside of the photograph .....3 Figure 2 Four positions of a two-axle vehicle passing over two axle sensors ..........................5 Figure 3 Typical response of a loop detector crossed by a passenger car ..............................6 Figure 4 Loop configurations for bicycle detection .................................................................10 Figure 5 A sensor array for separate lane axle counts on a three-lane carriageway .............11 Figure 6 Survey of road use data needs amongst Road Authorities ......................................15 Figure 7 Expected percentage error for AADT from ADT and count duration (n-Day counts) for a 75% confidence level...............................................................18 Figure 8 A design for traffic counting program .......................................................................22 Figure 9 An integrated road use database from Queensland Main Roads.............................34 Figure 10 Total mass of three-axle prime movers and three-axle semi-trailers.........................36 Figure 11 Total mass of nine-axle B-doubles ............................................................................37 Figure 12 Laden and unladen vehicles in each vehicle class at Port Fremantle, WA ...............37 Figure 13 Flow diagram of the CSIRO method for detection of corrupt traffic data ...................44 Figure 14 Three axle masses of an articulated six-axle vehicle (Class 9) .................................47 Figure 15 Adjustment factors for diurnal variation of CULWAY axle mass data (Grundy et al. 2002) .................................................................................................47 Figure 16 Adjustment factors for seasonal variation of CULWAY axle mass data (Grundy et al 2002) ..................................................................................................47
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AP-G84/04 Best practice in road use data collection, analysis ... - WIM

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