In order to solve the problem of long transit time and high distribution cost in the process of cold chain home delivery, considering the time-varying characteristics of different road sections in the actual transportation network and the timeliness of customer demand, this paper takes the minimum distribution cost, the shortest driving distance and the highest customer satisfaction as the objective functions, and constructs a cold chain home matching model with fuzzy time windows and time-varying roads. The model is solved by genetic simulated annealing algorithm, and the model and algorithm are verified by specific examples. Through the example, the influence of customer satisfaction and road network congestion on the choice of cold chain home route and distribution cost is discussed. The results show that road network congestion and customer satisfaction will significantly affect the distribution cost and path plan of the cold chain home delivery. This model can provide reference for enterprises to make reasonable cold chain home route optimization decisions. Key words:real-time traffic networks; cold-chain home delivery; vehicle routing problem Authors:ZHANG Hao-yu,YANG Jing-shuai,HUANG Jin-ling,Zhang-Jinhao Authors affiliations:School of Automobile,Chang'an University,Xi'an 710064 China Other information about paper:The research was sponsored by Shaanxi Provincial Natural Science Basic Research Project(2019JM-309),Fundamental Research Funds for the Central Universities (300102228205) and National Natural Science Foundation of China(51108040).

CICTP