In light of traditional reliability and durability testing standards have lagged behind, and where conventional user survey methods struggle to accurately reflect user needs, this paper integrates user big data with public road big data. Taking road surface roughness and driving speed as core reference points, it establishes a method for correlating user behaviour with durability testing conducted at test tracks. Specifically, this method first establishes a road surface roughness map of public roads. By linking and coupling users'connected vehicle driving data via latitude and longitude coordinates, the driving data for each user is discretised to construct a four-dimensional feature matrix comprising vehicle speed, road surface roughness, load mass and mileage. Subsequently, based on collected segments of typical road load spectra, the load spectra for each user are precisely reconstructed to obtain the target loads for each user; Finally, test track durability test specifications are formulated based on the damage equivalence principle. The study established a road surface roughness map of public roads in Liuzhou City. Based on load spectra from 16 typical roads covering a cumulative distance of over 1 000 km at various speeds, load spectra for 2 000 users totalling nearly 7×106 km were constructed, and the corresponding test track durability test specifications were formulated accordingly.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |