%0 Dataset
%T Freight Source–Carrier Stable Matching Order Operation Scenario Dataset
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/c1503fbf-4773-499f-9e85-82d1eca4a3e0
%W NCDC
%A zhu xia
%K Freight Orders;Freight Matching;Carriers;Two-sided Matching;Stable Matching
%X This dataset consists of simulated freight order generation, candidate carrier generation, two-sided preference generation, and stable matching. The data are generated by the code pipeline including Generate, GenerateData, ProcessMatch, GameMatch, and LogGenerate. Freight sources, shippers, loading/unloading locations, and order process timestamps are randomly generated within 11 districts and 11 street names in Guangzhou, Guangdong Province. For each matching batch, an equal-sized candidate carrier set and two-sided preference matrices are generated. The available data include three order scenario files, namely orderorigin_july.xlsx, orderorigin_august.xlsx, and orderorigin_September.xlsx, with 122928 freight source records in total. Each record contains freight source ID, shipper ID, origin/destination district and street, desensitized loading/unloading address, carrier driver ID, and process timestamps including source creation, order matching, arrival at loading location, loading completion, arrival at unloading location, unloading completion, and order completion. The accompanying JSON files store shipperMaId, carrierMaId, shipperMaPre, and carrierMaPre for reproducing the Gale-Shapley deferred-acceptance stable matching process. The names july, august, and september are scenario identifiers; according to the current Excel timestamps, freight source creation times range from 2024-09-01 06:01:53 to 2024-09-30 21:00:01, and order completion times extend to 2024-10-01 10:25:50.