Findings:Empirical experimentation shows that the average errors of RSSI model are able to decrease throughout the rules of environmental factor n and shadowing factor η respectively. Moreover, the calculation complexity is reduced, as an innovative approach. Since variation tendency of environmental factor n, shadowing factor η with distance and signal strength could be simulated respectively, RSSI model fulfills the precision of the vehicle intelligent position system.-51-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1234 Research limitations/implications: In this research, it is not evident to find the variation trend between the environmental factor n, shadowing factor η and the signal strength in view of our proposed approach. Originality/value: In our study, a methodology to calibrate the parameters of RSSI model is proposed with smaller errors. At the same time, three primary conventional model is evaluated based on the fitted regression.