Research On Emergency Traffic Distribution Considering Hazardous Sources

With the rapid development of Chinese economy,people’s living standards have gradually improved,and the level of urbanization has increased year by year.The urban population density is high,and the number of cars has multiplied.However,due to various restrictions on the development speed of the urban road network,the per capita road density is low.It is possible to predict disaster events that have a large impact on the location and time.The emergency command department needs to organize an orderly and effective large-scale regional traffic evacuation.This paper considers the large-scale evacuation of nearby areas in the event of a large hazard.In order to improve the safety and efficiency of the evacuation,with the goal of minimizing the total time cost,an emergency traffic distribution model is established,and the corresponding solution algorithm is designed according to the model solution steps.The analysis of the results of traffic distribution aims to provide a certain basis for the emergency command department to organize traffic evacuation in dangerous source areas.First of all,this article conducts basic analysis from the characteristics of emergencies,traffic characteristics in the area,and the impact of the incident on human psychology and route selection;qualitative and quantitative analysis of hazards,and the impact of hazards on the capacity of road sections after an accident occurs.The impact has a random analysis.Systematic analysis of the goals and principles of emergency traffic organization and key issues in the evacuation process,including the division of evacuation districts,the selection of evacuation destinations,and road network traffic information surveys provide basic information for emergency traffic distribution modeling.Secondly,it is assumed that the traffic demand of the evacuation community in the emergency traffic distribution can go to different shelters,and the transportation method used in the evacuation process is a private car.The explosive hazard source is selected and analyzed.Because the explosive hazard source damages the surrounding road network with different distances,the degree of damage is different.,So as to construct a road capacity distribution density function that is more in line with the actual situation,that is,the road capacity satisfies the normal distribution law after transformation.Constrained by the random change of road capacity,ensuring that the travel distribution between any pair of points is equal to the sum of the flow on the path between them,the road flow is non-negative,and the road flow is equal to the sum of the flow of all the paths selected,the total evacuation time cost is minimized Turn it into an optimization goal,and establish a single-objective model of chance-constrained programming.The urban road network is large in scale,high in complexity,and there are many possibilities for traffic flow path selection in the road network.In this paper,genetic algorithm is selected as the solving algorithm of the model,and the algorithm is programmed with Matlab to solve the model.Finally,in order to verify the applicability of the model in practical applications,a large-scale explosion occurred at the Petro China Lanzhou Petrochemical Plant in Xigu District,Lanzhou City as an example of a large-scale explosion.The surrounding road network and evacuated people were investigated,and the community was evacuated.Divide,bring the survey data into the model to solve,get the distribution flow and evacuation route of the road section,analyze the result of the solution,and show that the model has a certain applicability to the actual evacuation.