Expressway Emergency Resource Scheduling Based on Improved Salp Swarm Algorithm
To solve the current issues of untimely expressway rescue,poor rescue effectiveness and secondary accidents easily caused on expressways,combining with the actual needs for emergency resource scheduling in the expressway environments,the emergencies and their potential influences on secondary accidents were fully considered.The expressway emergency resource scheduling method based on the improved salp swarm algorithm was studied to efficiently cope with the emergency situations on expressway.First,the optimal path selection method and rescue material scheduling method were in-depth studied and analyzed from a technical perspective.Time and cost were taken as the goals of expressway emergency resource scheduling.The scheduling objective functions were established.Then,in accordance with the optimal path selection method for expressway emergency rescue,the ant colony shortest path algorithm was studied.The global update rules for ant colony algorithm were improved based on the expressway network characteristics to enhance the algorithm path search efficiency.Subsequently,to solve the emergency resource scheduling issues related to potential accidents,the salp swarm algorithm was studied.The algorithm's advantages of low computational complexity and global exploration were utilized to solve the resource scheduling objective function.Simultaneously,the salp swarm algorithm was improved with explosion,mutation,and other operations in the fireworks algorithm to further avoid the algorithm falling into local optima.Finally,the test results show that the proposed scheduling method can provide faster path planning.The improved salp swarm algorithm can effectively improve the convergence speed and computational precision.Moreover,compared with the scheduling without considering potential accidents,the proposed method can effectively reduce the total cost of resource scheduling for emergency rescue in the event of a secondary accident.
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