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GPS-based Driving Observations of Personal Vehicles in Bangkok |
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| รหัสดีโอไอ | |
| Creator | Kritsada Anantakarn |
| Title | GPS-based Driving Observations of Personal Vehicles in Bangkok |
| Contributor | Deeboon Methakullachat, Saharat Buddhawanna, Sanya Namee, Chattichai Waisurasingha, Boonsap Witchayangkoon |
| Publisher | TUENGR Group |
| Publication Year | 2560 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 8 |
| Journal No. | 1 |
| Page no. | 39-47 |
| Keyword | Global Positioning System, MANOVA, Multiple regression models, Driving behaviors, Driving experience, Fuel type |
| URL Website | http://tuengr.com |
| Website title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| ISSN | 2228-9860 |
| Abstract | GPS receivers/loggers were installed in personal vehicles to collect driving information around Bangkok areas, Thailand, during 2015-2016. During the experiment, there are 30-32 operational GPS satellites with visible 3-13 satellites were in the sky over the observed point. This study took five degrees GPS elevation mask angle. Total sample of 267 vehicles, 1869 days 3965 trips, data were transferred into a GIS database for visualization and analysis. Participants and vehicles basic information were also collected, including driver gender, vehicle fuel type, size of total volume of all engine cylinders, driver age, and driving experience. Collected data were statistically explored with the SPSS (MANOVA) with fuel types, all cylinder volumes, driving experiences, and driver age as independent variables and distance, average speed, and time as dependent variables. This study found that fuel types, driver experiences, car engine cylinder volumes, and driver age have statistically significant influence on driving behaviors that were related to distance, average speed and driving time. Multiple regression models were produced to predict driving behaviors pertinent to distance, average speed and driving time. |
