Missing Data Compensation Model in Real-Time Traffic Information Service System

Nowadays the floating car data (FCD) is playing a more and more important role in the route guidance, because it can collect more accurate travel time information in traffic service systems. But the problem is that the congested traffic performs to be dynamic and quite complex, and therepsilas great data amount fluctuation at different time of day. Therefore, the stability of the data canpsilat be guaranteed, and the OD travel time calculated in dynamic route guidance will be seriously affected. In this paper, a multipattern compensating model for blank-data links which is based on the optimized road network is proposed. According to the classified historical data, the missing real-time traffic data is filled up. Finally the experiment which involved the data of 15,000 taxies for 6 months was carried out in several ways. The result suggests that this method raised the road coverage while guaranteed the accuracy and it can be applied in real-time systems to manage large amount of data.