大数据驱动的地铁众包快递系统

Big data based metro crowd delivery system

近年来,同城快递的需求增多,涌现出一些提供1 h或3 h送达的快递公司,如闪送等。然而,其服务质量缺乏量化分析,常常会出现全职/兼职快递员不接单或接单后没有按时投递的情况。为此,提出了一种地铁众包快递系统,能够基于地铁乘客出行历史记录分析快递服务质量,并提供分时段的快递差异化服务。该系统既满足时延要求较高的快递需求,又可作为同城范围快递的补充。同时,提出快递中转方案。实验证明此中转方案是高效的。

In recent years,the demand for urban express delivery experiences fast growing.Several startup delivery corporations,such as i Shansong,have provided the delivery services,which are promised to deliver a parcel within 1 or 3 hours in a city.However,since the quality of the promised services have not been fully quantitatively analyzed based on real data,it is quite often that couriers refuse to pick up delivery requests or the accepted parcels fail to be delivered on time.To address the above issue,a metro crowd-delivery system was proposed,which could utilize the historical records of metro passengers to analyze the quality of the delivery service and provide differential service within different period of time.The system not only meet the requirements of high delay requirements of the courier,but also as a city-wide express supplement.At the same time,a courier transit program was proposed.Experiments show that this transfer program is efficient.