Research On The Optimal Path Of Emergency Escape Of High-Speed Railway Tunnel Fire In Mountain Area Based On Ant Colony Algorithm

As the construction of high-speed railway in difficulty dangerous mountain, the proportion of tunnel in high-speed railway is increasing, there are more and more long tunnel and tunnel group, so the possibility of a tunnel fire is also growing. Due to the speed of high-speed train, big quantity of transportation passengers, once the train have a fire, the life and property of people and the normal operation of the train will be a serious threat, and even affect the railway system transport order. How to realize the efficient of safety evacuation after the train fire, has become an urgent problem in the mountainous high speed railway construction.According to the need of safe transport on High Speed Railway in difficult Mountainous, relying on the scientific research project of China Railway Group Limited "the research of high speed railway rescue system" there are carrying out the researching of work as following:Firstly, analysis on the optimization of mountain railway escape evacuation and rescue path, compared with several kinds of the main path optimization algorithm at present, using the ant colony algorithm to optimize tunnel evacuation path was proposed, and summarizes its feasibility and advantages of the algorithm to others.Secondly, combining the actual environment of mountainous tunnel evacuation and rescue, using adaptive ant colony algorithm to optimize, from adaptive adjusting pheromone evaluation, pheromone update strategy, the introduction of equivalent length to improve and adapt to the algorithm.Thirdly, through the Comparison Study of the set mode of tunnel rescue fixed-point and tunnel safety evacuation plan at home and abroad, design the evacuation of the tunnel module from the inside and the outside of the hole, determine the use of the basic concept of ant colony algorithm for global path optimization, and establish the dividing method of evacuation path of node.Finally, as a certain tunnel and tunnel group for an example, from inside and outside of the hole to analysis of evacuation, using the ant colony algorithm to optimize evacuation route and get the evacuation path library and the evacuation time. And compared with basic ant colony algorithm to the result of evacuate and the optimization of algebra, demonstrate the reliability of the adaptive ant colony algorithm and good global searching ability; Compared with the traditional algorithm evacuation time, such as Pathfinder, proving the good performance in the process of emergency evacuation path when use the ant colony algorithm in the mountains.