| By the end of "eleventh five-year plan", our country’s freeway mileageis up to74,100km, with7384tunnels, which is up to5,122,600extendedmetres. With the rapid increase in freeway tunnels, lighting cost hasbecome a huge burden. Tunnel accident data showed that the accident rateat freeway long-tunnel exit section was very high. The analysis indicatedtunnel lighting environment directly influenced the drivers’ cognitive ofinformation, and affected automobile safety. Therefore, the study on nightlighting optimization of long-tunnel exit section is of great significance forautomobile safety and energy conservation.First, based on the summary of433typical domestic tunnel trafficaccidents, this paper obtained characteristics of accidents’ time, spatial andtunnel environmental and drivers’ night visual characteristic. Then, itdetermined the parameters of lighting optimization from the perspective ofdark adaptation mechanisms, and carried the experiment. This paper hasused SPSS and MATLAB software to establish a mathematical model, which is about pupil area, environmental illumination and driving time. Atlast, it has obtained the night lighting optimization model of freewaylong-tunnel exit section, and given the reference value of lightingoptimization.The paper has given out the method for data processing analysis andmodeling theory, which provided a theoretical basis for the freewaylong-tunnel of the same light scheme. It has also provided importantreference for the subsequent study of tunnel lighting optimization. Both cansatisfy the need of collection for drivers’ visual information, improve nightdriving safety in freeway tunnel, and can realize the energy consumption. |