The work reported herein considers the nature, magnitude and possible causes of variations in Queensland's WIM data. For this analysis a sub set of the state's WIM data was used, consisting of data from the 16 highest trafficked WIM sites. Data from both bending plate and Culway type WIMs was used. In total almost 29 million records collected between 1 Jan 2000 and 1 Jan 2006 were analysed. A subsequent paper details a methodology to mitigate the influences of these variations. Five types of data issues were identified 1. cycling, both diurnal and annual; 2. consistent but unreasonably high or low data; 3. data jumps; 4. variations between data from opposite directions on the one road, and 5. random or non-systematic variations. Most WIM data elements are found to exhibit some form of data variability, not just the mass element. The magnitude and nature of the variations was found to be specific to a WIM technology and a data element. (a) For the covering entry of this conference, please see ITRD abstract no. 0612AR242E.
Samenvatting