Sub-optimal Matching and Anomalous Driver Detection for Safe Carpool Services

• Main Authors: Jia-Yu Zhang, 張家裕
• Other Authors: Yi-Hung Wu
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/12214530697168969554

碩士 === 中原大學 === 通訊工程碩士學位學程 === 101 === The reason why countries all over the world promote the carpool services is to reduce the traffic congestion and air pollution. Drivers aim at saving the traveling expenses while passengers attempt to find a car they can take a ride. In recent years, the development of smart phones and communication technology led to more opportunities of sharing rides, but the promotion of carpooling was not always successful in every country. Passengers often reject a carpool service because of unfamiliar drivers and no safety guarantee. Most of the previous carpool systems recommended users all the candidates qualified with the user-specified conditions. Users had to spend a lot of time on candidate selection and were uncertain which ones would be safer. This thesis proposes a framework of the safe carpool service to reduce the overhead on candidate selection. With an evaluation mechanism, relatively safer pairs of ridesharing can be decided. After that, we analyze the GPS information from smart phones and monitor the moving trajectory of the driver to detect abnormal situations. Accordingly, the safety of ridesharing participants can be ensured.