Abstract
The layout of traffic sensor network nodes is related to the economic benefits of intelligent transportation systems. In this paper, we use the information model of landslide hazard susceptibility as the new measurement method, and adapt the landslide disaster susceptibility zoning result as the constraint condition of the maximum comprehensive value optimization model. The relevant parameters of the model are analysed, and the mathematics of each parameter is given. Through the example of sensor layout of Chongqing Yuxiang Expressway, it is determined that the number of optimal section sensors is 142 and the optimal layout spacing is about 676m. The results show that compared with the widely used graph theory model, the model can not only determine the optimal number of sensors but also give the best position of each sensor. The parameters of the model are calibrated for different situations. The results show that the model is easy to extend to different cities, different road conditions and different sensor types, and has good universality.
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