Real-Time Traffic Safety Evaluation Model for Freeways in Foggy Conditions

In order to predict the real-time traffic safety for freeways in foggy weather, a safety evaluation model based on improved entropy weight method is proposed. Speed and visibility are taken as the evaluation indicator. The membership function is composed of the rise semi-trapezoid distribution, the trapezoid distribution, and the falling semi-trapezoid distribution. The improved entropy weight method is adopted to improve the objectivity of the weight, and the weighted average method is utilized to evaluate the safety level. The model is verified by using traffic data and meteorology data of G4. The results demonstrate that the predicted results based on the improved entropy weight method are consistent with the measured results, which can accurately reflect the safety level of freeways in foggy weather.