Hybrid vehicle positioning and tracking using mobile phones

Due to the pervasive deployments of mobile communication technologies, vehicle positioning and tracking by locating the driver's mobile phones has become feasible. However, no single positioning method can provide decent tradeoff between accuracy and coverage. To address this issue, we propose a Kalman filter-based hybrid method which can track the mobile phones traveling on-board vehicles. The proposed method combines coordinates collected by assisted global positioning system (A-GPS) mobile phones and location estimates calculated from observed time difference of arrival (OTDOA) measurements. Numerical results demonstrate the effectiveness of this hybrid scheme in a simulated vehicular scenario.