目的 为了更灵活地满足不同企业间的配送需求，以提高运输效率。方法 在智能交通背景下，基于RFID、Compass/GPS、通信技术等，以运输成本最小为目标建立模型，利用改进的遗传算法对网络型甩挂运输车辆调度进行优化。结果 以山东省某网络型运输企业联盟为例进行优化调度，通过与普通货车运输比较，优化后的甩挂运输车辆调度方案空载率降低了4.6%，耗油量降低了10.6%，运输总成本降低了25.4%。结论 基于改进遗传算法的网络型甩挂运输车辆调度方案有效提高了运输效率，降低了运输成本，对于促进企业降本增效及环境保护都具有重要意义。

The work aims to meet the distribution needs of different enterprises more flexibly and improve transportation efficiency. Under the background of intelligent transportation, based on RFID, Compass/GPS and communication technology, a model was established with the objective of minimizing transportation cost, and an improved genetic algorithm was used to optimize the network-type truck-trailer vehicle scheduling. Taking a network-type transportation enterprise alliance in Shandong Province as an example, by comparing with the ordinary freight transportation, the optimized scheduling scheme of the trailer-and-trailer transportation vehicle reduced the no-load rate by 4.6%, the fuel consumption by 10.6% and the total transportation cost by 25.4%. The network-type truck-trailer transportation vehicle scheduling scheme based on improved genetic algorithm effectively improves the transportation efficiency and reduces the transportation cost. It is of great significance to promote enterprise cost reduction, efficiency increase and environmental protection.