The installation of pavement meteorological sensors in high-risk road sections and real-time warning of passing vehicles can effectively reduce the accident rate and improve the highway transportation efficiency. The pavement meteorological sensor can be divided into contact type and non-contact type according to the installation mode. The contact sensor needs to be drilled and installed on the subgrade, which has poor flexibility and is easy to be damaged due to the rolling of vehicles. The non-contact sensor adopts remote sensing technology, which can measure a variety of pavement meteorological data. Its installation does not need to damage the pavement, which is convenient for large-scale promotion and use, and has a broad application prospect.The road slippery state is closely related to traffic safety. To solve the problems of low life, inconvenient installation, and easy damage to the subgrade of the traditional contact pavement meteorological sensor, this paper uses 1 310 nm and 1 430 nm lasers as the detection light source, combined with infrared temperature measurement assistance, to study a non-contact pavement meteorological sensor method. In this method, the reflectivity of water and ice medium film at two characteristic wavelengths is obtained by measuring the backscattered light intensity formed by the light source under different road conditions. The pavement meteorological information can be obtained by solving and analyzing the reflectivity. First of all, based on Lambert Beer's law and according to the analysis of the laser beam propagation path, a theoretical model for measuring the thickness of seeper and icing is proposed. The model contains two parameters, which are related to the type of detection material and the road water absorption, respectively. Among them, the parameters related to the measurement material are constants, which can be obtained through experimental calibration, while the parameters related to the road surface are variables, which need to be measured at the road surface site, it is obtained by the automatic calibration method of the zero point of the relative reflectivity; then, according to the demand analysis, a pavement weather sensor with practical significance is designed, and the relevant detection system is built; finally, the meteorological state of the pavement and the thickness of seeper and icing are measured on the asphalt pavement and stone pavement with the self-designed sensor. In the identification of pavement status, the mixed identification logic of relative reflectance and infrared temperature signal is used to realize reliable identification of various pavement statuses, including dry, wet, seeper, icing, and frost. For the measurement of thickness parameters, the reflectance zero point is used to automatically identify and calibrate the measurement model parameters, so that accurate measurement can be achieved under different road conditions without on-site calibration, effectively solving the problem of baseline drift when measuring at different angles on different roads.A non-contact pavement meteorological sensor based on dual wavelength laser detection is proposed. The sensor has the advantages of simple structure, long detection distance and low cost. In terms of measurement method, five pavement meteorological states can be accurately judged through mixed logic judgment; by using the automatic calibration method of reflectivity zero point, the measurement of seeper and icing thickness is realized. The experiment shows that the measurement accuracy of this method reaches 0.2 mm, the measuring range reaches 3 mm, and it can adapt to the pavement with different water absorption, achieve the measurement capability similar to that of foreign advanced equipment, and solve the problem that other methods usually require manual on-site calibration, which has good practical value.