Modelling and Simulation of Engineering Vehicle Route Optimization in Logistics Park Construction

Given the multivehicle collaborative scheduling problem in the link of construction waste collection and transportation during logistics park construction, a route optimization model that considers time windows, process connection, and comprehensive cost was established. An improved tabu search algorithm combined with multilabel segmentation was proposed to solve this problem efficiently. This algorithm constructed a high-quality initial solution through construction site sorting based on the urgency of time windows with priority given to the scheduling of high-capacity vehicles. Additionally, the multilabel segmentation algorithm was introduced to maintain the Pareto-optimal label set in the route segmentation stage, thus realizing accurate processing and efficient pruning of complex constraints. Simulation results revealed that compared with the traditional tabu search algorithm, the proposed algorithm reduced the total scheduling cost by about 14.8% under the same calculation example and shortened the convergence time by about 41%, markedly improving the solution quality and computational efficiency. This study verifies the effectiveness and superiority of the proposed model and algorithm in engineering vehicle scheduling during logistics park construction, thus providing theoretical support and a methodological reference for intelligent scheduling decisions in practical engineering.