In recent years

technical bottleneck of traffic information collecting and transferring have basically been broken through

but large amounts of real-time traffic information cannot be well matched and fused with road network spatial database

which results in low efficiency in concerned applications

such as vehicle navigation system

public travel information service platform

logistics system and other ones in location based service（LBS）and intelligent transportation Systems（ITS). This paper aims to integrate real-time urban traffic information represented in Chinese natural-language with road networks spatial database

analysze linear reference methods embedded in multi-source and heterogeneous traffic information

as well as present an improved maximum matching algorithm to understand traffic information in Chinese natural-language and match it with spatial database automatically. Finally

a prototype system is developed to validate the approaches.