基于高精地图的高速公路数据资源库建设研究

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中图分类号：TP39；U415.1 文献标识码：A 文章编号：2096-4706（2025）18-0159-04

Abstract： Current key problems include severe data silos， insufficient spatial precision，and lagging dynamic updates， whichtraditional GIS systems and manual management models struggle toadressforlane-level refined management and real-timedecision-making demands.A systematic solution is developed whichis based on high-precision map technology， incorporating multi-snsorcollborativecolection，DeepLearning-drivenmulti-modaldatafusion，hybridspatiotepoal database architecture，and dynamic incremental update mechanisms.By combining LiDAR and GNSS/IMU for centimeterlevelroadnetworkmodeing，emanticsgmentationmodelsforintellgentdiseaseidentification，andconstructingsadadzed datagovermance frameworks，the system shortens thedata update cycle tothehour-level through 5Gand edge computing technologies.Theresearchdemonstratesthatthis systemefectivelyresolves multi-source heterogeneousdata integration problems，enhances the transparencyofroad network aset management and eficiencyofoperationand maintenance，and providestechicalsupportfortedigitalizationofallelementsoftransportationifrasucture，ofengsignifcantpracticalvalue for advancing smart transportation development.

Keywords： highwayconstruction project; data resource base; multi-source heterogeneous data fusion; dynamic update mechanism

0 引言

当前，全球交通行业正经历以数字化、智能化为核心的第四次技术革命。（剩余5023字）