关键词: 冷链物流配送, 交通拥堵, 绿色车辆路径, 分段规划, 碳排放, 改进蚁群算法

Abstract: In view of the current research on vehicle routing of cold chain logistics, the impact of traffic congestion on operation cost is not fully considered. This paper integrates the road congestion factors into the mathematical models of green vehicle routing for cold chain logistics. Balancing the economic costs and environmental costs, comprehensive consideration in a time-varying network should be taken into account of vehicle management costs, cost of energy consumption during transportation, cargo damage costs, refrigeration costs, and penalty costs for customer demand time windows. And at the same time, introducing carbon emission costs during transportation and refrigeration, and the overall arrangement of vehicle routes can reduce overall operating costs for logistics companies, resulting in greener environmental protection. On this basis, an improved ant colony algorithm is designed to solve the problem according to the characteristics of the model, and to simulate the models and algorithm with examples. Verification of the model and method can effectively avoid the congestion in rush hour, lower delivery cost, promote energy saving and emission reduction, and provide effective advice for the cold chain logistic companies in route-distribution decision.

Key words: cold chain distribution, traffic congestion, green vehicle routing problem, path?dividing, carbon footprint, improved ant colony algorithm