| 摘要 |
PURPOSE: A method of parsing large scaled street network traffic kind based on starting and end points is provided, which parses a large scaled street network traffic kind in a short computing time. CONSTITUTION: A method comprises inputting street network data(S10), classifying cells from the received data according to a geometric road structure to endow an attribute to each cell(S20), resetting various variables for analyzing a traffic phenomenon(S30), correcting the street network data according to a current construction process and searching of a current time signal to generate origin destination data(S42,S44,S46), dividing a total analysis time into a plurality of time intervals to provide a new path searched through cycle searching of the shortest path in each time interval(S48,S50), determining the transient amount of vehicles by calling a transient module, in a transient module bank, to which a transient rule according to a behavioral side of a vehicle is applied(S60), updating cell information through the determined transient amount to calculate an effect standard through gathering of vehicle information when entering a zone enter cell(S70), calculating a link running time according to a traffic time according to a traffic situation in a current time interval to update cell information(S80), seizing a status of a crossing in a current time interval to search a front blocking state to be used as input data of a linking cell(S90), and analyzing whether a total analysis time is passed(S100). If so, an analysis is completed. |
