Heavy Traffic Data Collection and Detection of Overloaded HGV

The knowledge of heavy traffic on the road network presents a strategic interest for the road operators, in order to: increase mobility by adapting their policies to the traffic, optimise the life expectancy of road surface and bridges, and improve safety. This implies the collection of the following data: number, time distribution, type (defined by the number of axles), speed, and weight. The traditional systems are able to count the vehicles and to measure the heavy goods vehicle's (HGV's) speed. However, the control of overloaded HGVs was made randomly and the vehicles were stopped and weighed on parking areas. This method caused congestion and its efficiency was limited. As a result, no significant data were available on the HGV's type or weight and the knowledge on heavy traffic was restricted to time distribution and speed. To improve the national database on heavy traffic and to develop a new control method for overloaded HGVs, the French Ministry of Transport defined a detection system (weigh in motion) based on weighing equipment and automatic number plate recognition (ANPR). The detection systems are connected to a national database, which can be give real-time information on the heavy traffic or be used for statistics. Today, around 25 detection systems are installed on the structural road network, fulfilling the following objectives: building a national database on heavy traffic, preselecting and identifying overloaded HGVs to make controls on parking areas more efficient, developing specific traffic management measures, and identifying, via ANPR, transporters regularly in breach with the law to make specific controls in the companies. In a first part, the presentation will describe the detection system (material, sensors, hardware and software) and its deployment on the French road network. In a second part, the presentation will be focused on the results, their precision, the first extractions made on the national database, and the global efficiency of the system.


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  • Accession Number: 01486694
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 9 2013 9:09AM