Using image sequence to investigate the traffic parameters
碩士 === 淡江大學 === 資訊管理學系 === 90 === The design of the traffic signal in intersection is closely related to driving safety. Related research showed that the traffic parameters such as the sort, amount and the speed of vehicle can be used as principle for the design of traffic signal to improve driving...
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ndltd-TW-090TKU003960242016-06-24T04:14:56Z http://ndltd.ncl.edu.tw/handle/98055552195631085203 Using image sequence to investigate the traffic parameters 利用循序影像調查路口交通參數之資訊系統 Cheng,Feng-Mei 鄭鳳媚 碩士 淡江大學 資訊管理學系 90 The design of the traffic signal in intersection is closely related to driving safety. Related research showed that the traffic parameters such as the sort, amount and the speed of vehicle can be used as principle for the design of traffic signal to improve driving safety in intersection. However, it is not easy to obtain the traffic parameters. It costs a lot of human resource and the process is complicated. Hence, we propose a semi-automatic information system to simplify the process of obtaining the traffic parameters. In our research, the techniques of image processing and pattern recognition are used to recognize and track the vehicles, and an interface for correction by human interaction is also provided. Finally the traffic parameters including the trajectory, speed, and acceleration are calculated. Liang,En-Hui 梁恩輝 2002 學位論文 ; thesis 50 zh-TW |
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碩士 === 淡江大學 === 資訊管理學系 === 90 === The design of the traffic signal in intersection is closely related to driving safety. Related research showed that the traffic parameters such as the sort, amount and the speed of vehicle can be used as principle for the design of traffic signal to improve driving safety in intersection. However, it is not easy to obtain the traffic parameters. It costs a lot of human resource and the process is complicated. Hence, we propose a semi-automatic information system to simplify the process of obtaining the traffic parameters.
In our research, the techniques of image processing and pattern recognition are used to recognize and track the vehicles, and an interface for correction by human interaction is also provided. Finally the traffic parameters including the trajectory, speed, and acceleration are calculated.
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Liang,En-Hui |
author_facet |
Liang,En-Hui Cheng,Feng-Mei 鄭鳳媚 |
author |
Cheng,Feng-Mei 鄭鳳媚 |
spellingShingle |
Cheng,Feng-Mei 鄭鳳媚 Using image sequence to investigate the traffic parameters |
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Cheng,Feng-Mei |
title |
Using image sequence to investigate the traffic parameters |
title_short |
Using image sequence to investigate the traffic parameters |
title_full |
Using image sequence to investigate the traffic parameters |
title_fullStr |
Using image sequence to investigate the traffic parameters |
title_full_unstemmed |
Using image sequence to investigate the traffic parameters |
title_sort |
using image sequence to investigate the traffic parameters |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/98055552195631085203 |
work_keys_str_mv |
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