This study designs a process for identifying trips and activities based on global positioning system (GPS) survey data. The proposed identification process is composed of four steps, namely determining status segments, detecting activities, identifying trips, and recognising short-time activities. The results indicate that the proposed algorithm shows a high level of identification accuracy compared with the travel diaries reported in the paper-form travel survey. By providing the identification method of the short-time activities, this study resolves the problem of overlooking short-time activities in conventional travel surveys and increases the accuracy of trip detection. This work also facilitates the study of the spatial and temporal distributions of short-time activities related to travel behaviours such as temporary parking. By proposing a method for identifying trips and activities from GPS data, the findings provide a research scheme for detecting other travel information based on GPS data such as travel mode and trip purpose, reasonable decisions for urban transportation planning and management.
Identifying activities and trips with GPS data
IET Intelligent Transport Systems ; 12 , 8 ; 884-890
2018-06-19
7 pages
Article (Journal)
Electronic Resource
English
activities identification , temporary parking , data handling , activities detection , trips identification , Global Positioning System , spatial distribution , urban transportation planning , GPS data , trip detection , urban transportation management , short-time activities recognition , trip purpose , travel behaviours , temporal distribution , travel information , traffic engineering computing , paper-form travel survey , status segments determination , Global Positioning System survey data , travel mode
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