摘要: |
Conventional travel-survey methodologies require the collection of detailed activity-travel information, which imposes a significant burden on respondents, thereby adversely impacting the quality and quantity of data obtained. Advances in global positioning system (GPS) technology have provided transportation planners with an alternative and powerful tool for more accurate travel-data collection with minimal user burden. The data recorded by GPS devices, however, do not directly yield travel information; the navigational streams recorded by GPS devices have to be processed and the travel patterns derived from them. The focus of this research project is to develop software to automate the processing of raw GPS data and to generate outputs of activity-travel patterns in the conventional travel-diary format. The software will identify trips and characterize them by several attributes, including trip-end locations, trip purpose, time of day, distance, and speed. Within the overall focus of the research, this report describes the algorithm developed for the detection and characterization of trips from GPS navigational streams. The software design details are also presented. / NOTE: Technical rept. (Jan. 1, 2005-Aug. 31, 2005). / Supplementary Notes: See also PB2005-109392, PB2007-103698, and PB2008-105083. Sponsored by Texas Dept. of Transportation, Austin. Research and Technology Transfer Section. and Federal Highway Administration, Austin, TX. Texas Div. / Availability Note: Product reproduced from digital image. Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA. |