Analysis of GPS vehicle tracking data
Travel surveys are of particular relevance for transport planners aiming to measure system characteristics such as vehicle daily travel patterns, trip starts and stops, time of day decisions, and highway choice decisions. Conventional travel survey methods have been difficult to apply due to various...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/2538 |
| _version_ | 1811684660566032384 |
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| author | Wu, Xuefeng. |
| author2 | Olszewski, Piotr |
| author_facet | Olszewski, Piotr Wu, Xuefeng. |
| author_sort | Wu, Xuefeng. |
| collection | NTU |
| description | Travel surveys are of particular relevance for transport planners aiming to measure system characteristics such as vehicle daily travel patterns, trip starts and stops, time of day decisions, and highway choice decisions. Conventional travel survey methods have been difficult to apply due to various problems such as missing, invalid, inconsistent data and most commonly, non-participation. As a result, these travel surveys sometimes provide only limited or inaccurate travel information. The biggest challenge for travel surveys in the new millennium will be to obtain increasingly detailed, accurate, and timely data on daily travel patterns and at the same time, to minimise respondent burden and protect personal privacy. |
| first_indexed | 2024-10-01T04:32:10Z |
| format | Thesis |
| id | ntu-10356/2538 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T04:32:10Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/25382023-03-04T00:33:24Z Analysis of GPS vehicle tracking data Wu, Xuefeng. Olszewski, Piotr School of Computer Engineering DRNTU::Engineering::Civil engineering::Spatial information/surveying Travel surveys are of particular relevance for transport planners aiming to measure system characteristics such as vehicle daily travel patterns, trip starts and stops, time of day decisions, and highway choice decisions. Conventional travel survey methods have been difficult to apply due to various problems such as missing, invalid, inconsistent data and most commonly, non-participation. As a result, these travel surveys sometimes provide only limited or inaccurate travel information. The biggest challenge for travel surveys in the new millennium will be to obtain increasingly detailed, accurate, and timely data on daily travel patterns and at the same time, to minimise respondent burden and protect personal privacy. Master of Philosophy 2008-09-17T09:04:58Z 2008-09-17T09:04:58Z 2004 2004 Thesis http://hdl.handle.net/10356/2538 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Civil engineering::Spatial information/surveying Wu, Xuefeng. Analysis of GPS vehicle tracking data |
| title | Analysis of GPS vehicle tracking data |
| title_full | Analysis of GPS vehicle tracking data |
| title_fullStr | Analysis of GPS vehicle tracking data |
| title_full_unstemmed | Analysis of GPS vehicle tracking data |
| title_short | Analysis of GPS vehicle tracking data |
| title_sort | analysis of gps vehicle tracking data |
| topic | DRNTU::Engineering::Civil engineering::Spatial information/surveying |
| url | http://hdl.handle.net/10356/2538 |
| work_keys_str_mv | AT wuxuefeng analysisofgpsvehicletrackingdata |