In order to scientifically decide the percentage of vehicle entering expressway rest area, based on analyzing the influencing factors relating to the percent of mainline traffic stopping, a BP neural network prediction model for it was put forward. Finally, The Xinzheng Rest Area (XRA) was taken as an example for verifying the feasibility of the prediction model and determining the influence degree of the Shijiazhuang-Wuhan high-speed railway on the percentage of mainline vehicles entering XRA. The result shows that the model had a high precision and reliability.

Shading shed transmittance of highway tunnel entrance should be designed to be compatible with the driver visual characteristics. By using qualitative and quantitative analysis methods, change law between pupil area and illumination was found through driver visual characteristics experiments in tunnel entrance. Optimal design algorithm of shading shed transmittance in highway tunnel entrance was established. Nanwutai tunnel on Baotou to Maoming highway are selected as research case to prove the model. The results of this study provide evidence that the model has obvious superiority.