With the increasingly wide use of sensor-embedded smartphones, we envision that there will be many crowdsourced logistic companies to acquire logistics service from a large population of carriers. They form a two-side competition market, where crowdsources compete for the limited logistics service and carriers compete for the compensation from crowdsourced logistic company. Each crowdsourced logistic company has to select an “optimal” delivery compensation that can attract enough service providers. Each carrier has to decide which crowdsourced logistic company to join in, while a congested company may resulted in a low reward. In this paper, we present a game theoretic study of such a two-side competition market. To be more practical, we consider the bounded rationality of service providers. We formulate the dynamics behavior of service providers as an evolutionary game, and take two key factors (company’s analytics ability and service providers’ evaluation) under smart environment in our model, and then present a simulation model for the implementation of evolution process. Through this work, we can understand the dynamic evolution of the medium-sized crowd logistics market under smart environment and crowdsourced logistic company can adjust their strategy to optimal their profit.

随着嵌入式传感器智能手机的广泛使用，我们预见将会有许多众包物流公司从大量的承运商那里获取物流服务。它们形成了一个双向的竞争市场，在这里，众包竞争有限的物流服务，而承运商争夺众包物流公司的赔偿。每个众包物流公司都必须选择一种“最优的”交付报酬，以吸引足够的服务提供商。每个承运商都必须决定加入哪个众包物流公司，而拥挤的公司则可能导致较低的报酬。在本文中，我们对这种双向竞争的市场进行了博弈论研究。为了更实际，我们考虑服务提供商的有限理性。我们将服务提供商的动力学行为公式化为演化博弈，并在模型中考虑了智能环境下的两个关键因素（公司的分析能力和服务提供商的评估），然后提出了用于实现演化过程的仿真模型。通过这项工作，我们可以了解智能环境下中型人群物流市场的动态发展，而众包物流公司可以调整其策略以优化其利润。