Research on the Calculation Method of Bus Road Conditions Based on Multi Source Floating Vehicle Data

With the emergence of intelligent transportation, public transportation travel information service technology has become a current research hotspot, and public transportation travel information services face higher quality requirements. In response to the problem that the current data source used to support the calculation of public transportation travel information services is only bus GPS data, which has a small amount of data, a long sampling interval, and low accuracy of road condition calculation results, this article combines the research and development of current road condition information filling and data fusion related technologies, analyzes the laws of bus data and taxi trajectory data, and proposes a set of algorithms based on traffic information filling and data fusion. Through the verification of real floating vehicle data, the road condition information calculation model proposed in this paper effectively improves the accuracy of floating vehicle data processing under complex driving conditions. The experimental results show that the accuracy of the fused bus road conditions has significantly improved, with an increase of over 12%, providing strong support for the development of bus traffic information systems.