The invention relates to a method for 
processing the information of float cars under the structure of a parallel road network, which is mainly applied to the service field of the intelligent dynamic traffic information. The method comprises the steps: step 1, an SVM (
Support Vector Machine) sorter is adopted to judge the matching relationship between sampling points and roads, and map match is carried out; step 2, according to map match information, a 
heuristic route deduction 
algorithm is adopted to deduce possible running routes of a car, and according to the properties of road chains contained in the routes, whether the car runs in the structure of a parallel road network or not is judged; the shortest running 
route or a main running 
route and a subsidiary running route are selectively output in different circumstances, and the reliability of average running speed information provided by the car is estimated; step 3, the D-S (Dempster-Shafer) 
evidence reasoning theory based on classification is adopted to merge 
road condition information provided by all the float cars passing by a certain road chain in a 
current period and consider the reliability of the 
road condition information in a merging process so as to obtain the mathematical expectations of the average speed and the 
travel time of the float cars passing by the road chain in the 
current period. On the basis that the 
data quality of the prior float cars is kept unchanged, the invention realizes the acquisition of the real-time dynamic traffic information under the structure of a parallel road network.