Traffic Shockwave Mitigation with Visible Light Communications

• Main Authors: Wen-Hsuan Shen, 沈雯萱
• Other Authors: 蔡欣穆
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/87jp9f

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 105 === Traffic shockwave is one of the main reasons for reduced road capacity and jammed traffic. Recent studies have shown that traffic shockwave can be mitigated or eliminated using self-driving vehicles with vehicle-to-vehicle (V2V) communication. Several radio frequency (RF) wireless communica- tion methods have been demonstrated in these studies, such as Wi-Fi and Blue- tooth. However, due to the high cost of self-driving vehicles, this technology is still far deployment in our daily life. Also, the high interference between the wireless signals makes RF communication algorithms more difficult to be designed and implemented. Our work aims to show that traffic shockwave mitigation can also be achieved by human drivers instead of self-driving vehicles and this work ad- dresses the communication challenges faced by existing RF-based solutions with visible light communications (VLCs). In this thesis, we develop a real- time speed advisory system using VLC to provide drivers of the following car with the speed information of the leading car so that drivers can intuitively match the speed. We also implement real-world V2V communications by uti- lizing the LED taillights of the leading car and making use of a light sensor in the following car. Real-world experimental results show that with this speed advisory system, the reaction time of drivers can be reduced by as much as 54.6%. Furthermore, the VLC system can establish a reliable communication link when the two cars are at a distance of 45 meters.