A New Technology Based on Network Topology and Dynamic Space-Time Splitting Strategy for Floating Car Data Processing

As a novel means of traffic data collection on networks, floating car systems have attracted more and more attention. They are widely applied to transportation organization, traffic management and guidance, traveler information service etc. But existed technology on floating car data processing is lacking in applicability and reliability. This paper proposes a new insight in road network traffic status estimation with floating car data. It is based on network topology and dynamic space-time splitting strategy. The key innovation of this technology is that it not only solved the problem of matching the neighboring individual records of the which cross several road segments, but also realized the time segmentation of speed data based on space segmentation of them. It is relatively not so exigent on road segment size, frequency of data or number of data samples, it can greatly improve both applicability of the data and reliability of the result and thereby has great prospective application.