Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions

Given the time-efficient characteristics of urban cold chain transportation and time-varying road speed, customers encounter problem limited vehicle path optimization due to a fuzzy time window. An model with objective function as minimum total cost is constructed under premise service reliability, an artificial immune particle swarm algorithm designed solve model. For empirical analysis Xiamen’s transportation, two-stage solution involving “static dynamic optimization” used verify effectiveness practical value this research. Results show that can effectively reflect situation satisfy timeliness requirement transportation.