Research On Mobile Pollution Source Interception In Urban Road Network

The development of urban road traffic has brought a lot of convenience to people's travel,and the focus of society has turned to improve the quality of people's lives.Air pollution has become the top priority of pollution control because of its strong ability to spread,wide range of pollution,difficult governance,and low public concern.Air pollution control caused by mobile pollution sources is more difficult.Ships,airplanes,construction machinery,etc.will emit a lot of harmful gases while driving,and the main reason for this is because of its large base,wide distribution and frequently use.Nowadays,mobile pollution sources represented by vehicles have become popular and indispensable.The most effective treatment method is to monitor and control mobile pollution sources,thereby reducing emissions of pollutants.In this process,it is necessary to effectively intercept mobile pollution sources and plan mobile pollution sources.Most of the interception research on dynamic targets at home and abroad is the interception of air targets,and there are few studies on the interception of vehicles in the road network.Nowadays,the vehicles are widely distributed,and the research content of this paper can bring greater economic and social benefits.For the problem of mobile pollution source interception in real-time motion in road network,this paper proposes a method based on ant colony algorithm to search the dynamic optimization interception path of the minimum Voronoi reachable restricted area.In the method,the Tyson polygon region is formed centering on the mobile pollution source and the law enforcement vehicle,and then the total length of the reachable effective path of the mobile pollution source in the region is calculated,so that the total length of the effective path can be reached as the objective function of the ant colony algorithm,and finally the pheromone is passed.The matrix obtains the optimal intercept path.The interception method based on the shortest reachable path can promote the synergy of location information sharing among multiple law enforcement vehicles and improve interception efficiency.Test requirements:(1)The moving direction and moving speed of the mobile pollution source are obtained through the intersection monitoring station,and the next intersection where the mobile pollution source appears;(2)The basic structure of the intercepting area road network is known.The method is based on reducing the area of the Voronoi.In a convex environment such as a road network,the area calculation is converted into the total length of the reachable effective path,which reduces the computational complexity and reduces the calculation of the invalid path.Multiple extreme values reduce the computational error.Moreover,the algorithm is based on the ant colony optimization algorithm,and the traditional information feedback interception improves the convergence speed.To reduce emission of mobile pollution sources during the driving process after being intercepted,this paper also proposes a path planning method to reduce pollution emissions during driving.Current path planning methods in urban road networks generally do not consider road conditions,and are used in traffic congestion In the case of slow driving and idling,the exhaust pollution from mobile pollution sources is more serious,so it is very important to maintain proper sports status by analyzing road conditions.In this paper,the pheromone matrix of the ant colony algorithm is changed according to the real-time road conditions.The ant colony algorithm calculates the optimal path.Finally,the shortest reachable effective path interception algorithm and the complex case path planning algorithm are implemented in the mobile pollution source online monitoring platform system respectively,and have good real-time performance and stability during long-term operation.