Intelligent Pedestrian-to-vehicle Intersection Safety Warning System

碩士 === 國立臺北科技大學 === 電機工程系研究所 === 97 === Now traffic accident has been ranked the top ten causes of death, of which the accident rate at the crossroad is quite high. It is because of the complicated traffic circulation at the crossroad including racing through yellow lights or inattentiveness of driv...

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Bibliographic Details
Main Authors: Yung-An Chen, 陳永安
Other Authors: 李祖添
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/23cf6n
Description
Summary:碩士 === 國立臺北科技大學 === 電機工程系研究所 === 97 === Now traffic accident has been ranked the top ten causes of death, of which the accident rate at the crossroad is quite high. It is because of the complicated traffic circulation at the crossroad including racing through yellow lights or inattentiveness of drivers and pedestrians. Therefore, a safety mechanism is developed to warn vehicles and pedestrians at the crossroad and avoid traffic accidents by means of formulating the distance of collision risk based on the relative distance and relative speed between the pedestrian and the vehicle. In this thesis, the aim of this thesis is to develop the system for contributing to the prevention of pedestrian-to-vehicle accidents. With the widespread use of cellular phones and car navigation systems, a pedestrian-to-vehicle communication system is presented by using a cellular phone and a car navigation system equipped with GPS and wireless communication function. The location information of pedestrians and vehicles can be delivered to the traffic monitoring center. By employing Least-square method and map matching technique, the errors from poor satellite availability can mitigated. The collision risk for pedestrian is calculated based on fuzzy inference scheme and will be given to the cellular phone in the case of high collision risks.