Research On Intelligent Induction Strategy In The Fog Zone Section Of Freeway

Fog has long been an important factor affecting highway safety and efficiency of operations, Especially, fog, haze frequently in the current context of economic development, augmenting of its influence sphere to prevent the difficulty will be increased Fog-induced multi-car rear-end accident chain has long been commonplace. Based on Guizhou Provincial Department of Transportation projects- Jen Chi highway traffic security key issues research and demonstration application(contract number GZSGLJKYWT-2013-01), paper search a lot of the fog literature on traffic safety at home and abroad, by analyzing the fog area freeway accident vehicle operating characteristics and features, adaptive neural network model was established based on traffic flow theory, and fog area highway speed, distance control strategy has been acquired of, whereby research the parameters of the fog zone automatic guidance system setting works are as follows:Firstly, by making full use of a large number of research results from the use of domestic in macro and micro aspects, the paper analysised the fog area road traffic conditions, with traffic flow theory as a tool the paper draw from a macro perspective to protect traffic safety and smooth operation of efficient control equation, then as an opportunity to go down to the micro level, in order to speed, vehicle distance control target, combined with previous research results, the paper try to seek microscopic sections of the constraint equations fog vehicle safety control zone running smoothly;Secondly, according to the guidelines microscopic constraint equations to obtain data, and as a training data adaptive neural network using MATLAB adaptive neural network model to establish the fog vehicle speed control, and the use of the model guidelines for data validation, application models to be demonstrated on microscopic constraint equations, be justified and made certain visibility, traffic, slippery road condition under the vehicle speed, vehicle distance control strategy, combining simulation vissim Get travel time to analyze the virtual state, described the policy rate induced effectiveness;Again, to clarify the concept of intelligent guidance system fog area, the basic framework, functional structure, according to the vehicle control strategy from the strategy formulation system, speed control strategy is an information publishing system output, in order to induce both systems and information dissemination system for technical strategy to induce controlled from the driver’s visual security with the vehicle, and describes the application and effectiveness of the system in actual project, indicating that the protection of normality fog zone traffic safety played an active role;Finally, a fog area highway traffic safety rating evaluation system, study the safety of grade Assessment of Freeway fog zone to apply impact assessment policy, to induce managers to take different levels of response options analysis by examples illustrate evaluation methods reliable; introduced the fog area of traffic safety control countermeasures.Adaptive neural network model fog zone established in papers implantable intelligent guidance system to facilitate the adaptive control of the vehicle, but also laid the theoretical foundation for future research; low visibility under the proposed speed, vehicle speed from the control strategy makes fog Highway Mechanical control the severity is different, urgency and orderly, even more flexible and reasonable. Fog zone automatic guidance system applicable to the fog-prone sections of the highway, to address security issues, Traffic fog provides new ideas and methods, and the smooth flow of highway traffic safety has a positive effect.