Research On Sudden Change Control Algorithm Of Light At Tunnel Entrance And Exit

With the implementation of China’s transport strategy,the number of road tunnels is rapidly increasing and the mileage is also growing.While relieving transport pressure and creating new road networks,traffic safety problems at tunnel entrances and exits are also being exposed,making it possible for vehicles to pass smoothly and safely through tunnel entrances and exits,while ensuring driver comfort and safety and reliability is now a topic worthy of research in traffic safety.In order to minimise the impact of the "black hole effect" and "white hole effect" on traffic safety and to alleviate the psychological load on drivers entering and exiting the tunnel entrance,the illumination level at the entrance and exit of the road tunnel needs to be reasonably controlled in order to make a smooth transition.Firstly,the thesis presents a detailed review of domestic and international research on the illuminance characteristics of tunnel entrances and exits,the dynamic visual characteristics of drivers and the current state of research on tunnel lighting control,and then proposes a technical route for the thesis.The main research theories are synthesised and the correlation model between the driver’s visual characteristics and the tunnel illuminance based on the experimental data is fitted after exploring the laws of illuminance changes at the tunnel entrances and entrances and the driver’s visual characteristics.The model provides theoretical support for the lighting control algorithm with the goal of achieving driving safety and comfort.Secondly,the thesis sets the following two objectives according to the travel displacement value,the brightness requirement of the tunnel entrance/exit section and the pupil area change rate of the driver: firstly,to ensure the lowest psychological load on the driver during the driving process so as to meet the requirements of driving safety;secondly,to save energy and reduce light pollution in order to meet the requirements of energy conservation and environmental protection.The traditional NSGA-Ⅱ algorithm solves the constructed multi-objective optimisation objective function by using the weight coefficient method and the extreme difference normalisation method;the traditional NSGA-Ⅱ algorithm falls into a local optimum and cannot obtain the global optimum solution.To overcome this drawback,the traditional NSGA-Ⅱ algorithm is improved based on the Pareto dominance mechanism,and adaptive crossover and variational operators are introduced to improve its performance.These improved strategies result in better performance and significantly improve the efficiency of solving multi-objective illumination regulation optimization problems.Finally,an intelligent control simulation system for highway tunnel lighting has been developed with five functional modules: user management,operation monitoring,lighting control,query statistics and data resources.The system can effectively control the lighting and environmental information in the tunnel to meet the needs of safe traffic,and can provide real-time and accurate information services for the management,which is one of the practical explorations of the application of research results in practice.