透過您的圖書館登入
IP:18.191.216.163
  • 期刊

結合物聯網與適地性服務提升行車安全性之研究

The Study of Driving Safety Enhancement based on IoT and LBS

摘要


在這科技快速發展的社會中,以2016年臺灣國民為例,每一百人平均擁有33.2小客車,而1月至7月更是造成168,339件道路交通事故,更造成221,156人的死傷,近年來家庭多數擁有自用小客車,與一直被專注的議題—酒駕、疲勞駕駛、未注意前車狀態與未保持安全距離所造成的傷亡及危害,在個人交通工具越來越多的情形下,交通安全的威脅機會上升。本研究將結合物聯網與適地性服務,使用Arduino與行動裝置進行實作,當駕駛在酒後駕車時,因為呼出的酒精濃度高於標準並給予提醒,並提供一鍵警報的方式通知設定的聯絡人前來協助成為代理駕駛,針對多數肇事原因—未注意前車狀態及未保持安全距離、行駛疏忽、酒駕等,利用感測器為駕駛做出適當之判斷與通知,結合政府公開資料與適地性服務在易肇事路段提醒駕駛當心路況。在系統完成後,本研究以實驗法並針對受試者進行階梯式深度訪談,瞭解駕駛者對於本系統的感受。訪談結果顯示,受試者皆對於本系統採取正向態度,對於即時數據偵測不會有壓力等負面情緒,並表示對此安全裝置成為車輛基本配備樂觀其成;多數受試者表示願意安裝並持續使用,並且對未來功能的提升方向給予建議,希望可以確保自身與用路人之行車安全皆能提升並且被保障。

並列摘要


Due to the rapid growth of motor vehicles, the traffic volume of roads increases greatly, and various traffic problems occurred. This research aims to enhance driving safety by understanding and alert drivers' physical and mental conditions. In Taiwan's family, we have our own car or motorcycle as a means of transport no matter for work or travel, and it causes many accidents happen every day. According to Government report and related research, traffic incidents are usually caused by three reasons: drunk driving, negligent driving, and fatigued driving. Therefore, this research designs and implements a system, which is composed of Arduino related Internet of Things technologies and a mobile application. When a driver is drunk driving, the system receives alert at alcohol concentration excessive. For the negligent situation, keeping a proper distance between cars is alerted. In order to be alert of the driver fatigue in advance, the system tracks the driving heartbeat and pulse. We also alert drivers when they pass the high-frequent traffic incident area. Based on open data and LBS, drivers can pay more attention when driving. Finally, in order to understand the feedback from drivers, in-depth interview with laddering methodology is used during the pilot test. Positive feedbacks are given by most interviewees. Therefore, it is believed that IoT sensors are accepted by drivers in detect the value of their own physiological data. Though some sensor and the wire will make them feel uncomfortable and stressful, driver have more expectations in future technologies for making it better. Not only determine the sensor will be use-friendly, but also recommend more function to protect themselves and all drivers for the driving safety.

並列關鍵字

Telematics IoT LBS Car Accident Open data

參考文獻


丁彥伶(2017)。疲勞隱藏的致命危機。取自:http://www.drchen.com.tw/9507.htm
中華民國交通部臺灣區國道高速公路局(2015)。高速公路及快速公路交通管制規則第六條。取自:http://www.freeway.gov.tw/publish.aspx?cnid=526&p=134
交通部統計查詢網(2016)。自用小客車調查。取自:http://stat.motc.gov.tw/mocdb/stmain.jsp?sys=100
刑事警察局(2017)。酒精對人體有什麼影響??。取自:https://www.cib.gov.tw/Science/ScienceQA
林宜隆、陳高宏、蔡効謙(2015)。具位置隱私保護的交通路況事件通報系統。電腦稽核。31,75-85。

延伸閱讀