This paper proposes a Global Positioning System (GPS) based method for collecting historical travel time data, including link travel time and intersection signal delay information, for an arterial roadway network. A posttrip map-matching algorithm is introduced to project GPS data onto an existing arterial roadway network. A model is formulated by analyzing the three critical factors-minimum distance, direction similarity, and speed comparison error-in the map-matching decision to detect the critical points needed to obtain the intersection delay information. Two GPS data sets with different GPS accuracy-from Shanghai, China, and Aachen, Germany-are used in the study to calibrate and verify the posttrip map-matching algorithm. Then, through the model proposed, travel time and intersection delay information is extracted from the GPS data sets. By a comparison with results from electronic distance-measuring instrument data, the results of the experiment are shown to be satisfactory and compelling.