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.