A guiding system for drivers against emergency vehicles with GPS and intelligent traffic light control
碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 102 === Emergency vehicles (such as fire truck, police car, and ambulance) should receive a high priority of road access when they are on duty. Unfortunately, many emergency car accidents involved in that regular vehicles’ drivers have no idea about how to avoid from...
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ndltd-TW-102TIT053920022019-05-15T21:14:50Z http://ndltd.ncl.edu.tw/handle/9f3c3b A guiding system for drivers against emergency vehicles with GPS and intelligent traffic light control 利用衛星定位與智慧號誌控制技術針對救險車輛之大眾避讓系統設計 Shao-En Chou 周紹恩 碩士 國立臺北科技大學 資訊工程系研究所 102 Emergency vehicles (such as fire truck, police car, and ambulance) should receive a high priority of road access when they are on duty. Unfortunately, many emergency car accidents involved in that regular vehicles’ drivers have no idea about how to avoid from blocking on their way to rescue or yield the right of the road properly. The objective of this thesis is to develop an active early-detection avoiding and guiding system for drivers, utilizing the technologies of GPS positioning and GIS information, and the idea of LBS (location based service). The operation of the system is as follows: Each emergency vehicle periodically reports its location (i.e., the longitude and latitude) obtained from GPS positioning to a server, then the server calculate its moving direction and the coverage of intersections within a predefined distance from the current location of the vehicle and notify those traffic control subsystems on covered intersections. Those control subsystems are expected to manage the traffic light properly (e.g., turn to red light) and/or provide obvious information to show the approaching of the emergency vehicle. Doing this way, drivers on the relevant roads can take an appropriate action to yield the right of the road or pull the car over to the side of the road and stopped. 柯開維 2014 學位論文 ; thesis 59 zh-TW |
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碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 102 === Emergency vehicles (such as fire truck, police car, and ambulance) should receive a high priority of road access when they are on duty. Unfortunately, many emergency car accidents involved in that regular vehicles’ drivers have no idea about how to avoid from blocking on their way to rescue or yield the right of the road properly.
The objective of this thesis is to develop an active early-detection avoiding and guiding system for drivers, utilizing the technologies of GPS positioning and GIS information, and the idea of LBS (location based service). The operation of the system is as follows: Each emergency vehicle periodically reports its location (i.e., the longitude and latitude) obtained from GPS positioning to a server, then the server calculate its moving direction and the coverage of intersections within a predefined distance from the current location of the vehicle and notify those traffic control subsystems on covered intersections. Those control subsystems are expected to manage the traffic light properly (e.g., turn to red light) and/or provide obvious information to show the approaching of the emergency vehicle. Doing this way, drivers on the relevant roads can take an appropriate action to yield the right of the road or pull the car over to the side of the road and stopped.
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柯開維 |
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柯開維 Shao-En Chou 周紹恩 |
author |
Shao-En Chou 周紹恩 |
spellingShingle |
Shao-En Chou 周紹恩 A guiding system for drivers against emergency vehicles with GPS and intelligent traffic light control |
author_sort |
Shao-En Chou |
title |
A guiding system for drivers against emergency vehicles with GPS and intelligent traffic light control |
title_short |
A guiding system for drivers against emergency vehicles with GPS and intelligent traffic light control |
title_full |
A guiding system for drivers against emergency vehicles with GPS and intelligent traffic light control |
title_fullStr |
A guiding system for drivers against emergency vehicles with GPS and intelligent traffic light control |
title_full_unstemmed |
A guiding system for drivers against emergency vehicles with GPS and intelligent traffic light control |
title_sort |
guiding system for drivers against emergency vehicles with gps and intelligent traffic light control |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/9f3c3b |
work_keys_str_mv |
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