M3S1 – Measuring the on-board weighting of heavy vehicles

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Author

László Ketskeméty

Mini Project ID

BMEMPLOAD3

Description

The case: Illegal overweighting of heavy goods vehicles is a major problem throughout Europe. Heavy goods vehicles, buses and coaches transporting goods in Europe must comply with certain rules on weights and dimensions for road safety reasons, and to avoid damage to roads, bridges and tunnels. Besides monitoring the vehicles using WIM (Weighting In-motion) or the OBW (On Board Weighting) systems, these data would feed into a central European database to monitor the total European road network, forecast deterioration, plan maintenance / renovation, and the ideal allocating of central resources.

In the paper prepared for the measurement of the load weight of heavy vehicles in motion, graphs and tables are needed to help the understanding the text. The study needs to be illustrated with process diagrams, graphs and tables for transparency as well. Tables and graphs is to show both the existing elements of the planned information network and equally the new elements to be built as a result of the calculations.

  • The structure of the construction of a new measuring stations can be illustrated in a flow chart.
  • Cartograms can be used to show the existing and the measuring network to be built. Here can be seen how frequently WIM is installed in the EU and what percentage of heavy duty vehicles in each country are already equipped with an OBW load measuring device. Developments in the first phase, which can already provide a representative sample for the estimation procedures, should be plotted on the same graph. The long-term goal may be full deployment, but it can be achieved in many years to come.
  • It is advisable to add all possible measuring points to a series of cartograms, as they will be realized as a function of time, so that the scheduling steps are illustrative.
  • If we put the data of the individual member states on a bar chart, the differences and development anomalies become illustrative.
  • Curves of correlations obtained from scientific research should be provided with appropriate explanatory text.

Sector

VET

Data

Cartogram: Blue dots indicate WIM stations installed on the Dutch road network

Casing degradation curve as a function of weight overload

PCI = Road surface condition index

Model

The best, most concise solution for describing basic statistics is the tabular form. For some descriptive statistics, a bar chart and / or box diagram can also be specified. Outliers must be labelled on the box diagrams. With cartograms, no one else can better look at the spatial distribution of the data, this is definitely recommended. The result of clustering can be illustrated with a dendogram, but since the method must be well understood in order to read it, it may only cause confusion in decision-makers, so its editing is not recommended. The time process of the implementation of the flowcharts can be illustrated with a time axis edited for the graph, which will have to be included in the dissertation.

Calculation

N/A

Solution

Graphs and figures cannot be created with MS excel, as statistical processing can only be done with a serious statistical program system due to the large size of the data and the complexity of the processing. Among several possible tools (SAS, IBM SPSS Statistics, Minitab, R-, Data Miner, etc.), the committee works with one of the oldest widely known software systems, SPSS. The graphs and tables are created by this program.

Presentation

N/A

Review M3S1 – Measuring the on-board weighting of heavy vehicles.