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Improving the efficiency of weigh in motion systems through optimized allocating truck checking oriented procedure
In the present paper, an effective procedure is proposed to determine the best location(s) for installing Weigh in Motion systems (WIM). The main objective is to determine locations for best performance, defined as the maximum number of once-checked trucks' axle loads and minimizing unnecessary...
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Published in: | IATSS research 2013-03, Vol.36 (2), p.123-128 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In the present paper, an effective procedure is proposed to determine the best location(s) for installing Weigh in Motion systems (WIM). The main objective is to determine locations for best performance, defined as the maximum number of once-checked trucks' axle loads and minimizing unnecessary actions. The aforesaid method consists of two main stages, including solving shortest path algorithm and selecting the best location for installing WIM(s). A proper mathematical model has also been developed to achieve objective function. The number of once-checked trucks, unnecessary actions and average installing costs are defined as criteria measures. The proposed procedure was applied in a road network using experimental data, while the results were compared with the usual methods of locating enforcement facilities. Finally, it is concluded that the proposed procedure seems to be more efficient than the traditional methods and local experts' points of view.
► Considering the concept of once-checked trucks in WIM location problem. ► Improving WIM performance through maximizing once-checked trucks. ► Minimizing unnecessary checks in order to increase WIM life cycle. ► Converting Max(Max) objective function to a simple constraint. ► Comparing results with traditional method and local experts' point of views. |
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ISSN: | 0386-1112 2210-4240 |
DOI: | 10.1016/j.iatssr.2012.08.002 |