A vehicle speed estimation method based on using voice call signals

The real-time traffic information estimation is an important issue for Intelligent Transportation System (ITS). Compared to traditional methods, the traffic information estimations from cellular network data are readily available, more cost-effective, and easier to deploy and maintain. In this paper, a vehicle speed estimation method is proposed to analyze the voice call signals (i.e., Call Arrival (CA) and Handover (HO)) from cellular networks. Some numerical models are proposed to estimate traffic flow according to HOs and estimate traffic density according to CAs. Then the estimated traffic flow and estimated traffic density are adopted to calculate the estimated vehicle speed. The experimental results show the accuracy of proposed vehicle speed estimation method is 89.75%. Therefore, this method is suitable to be adopted to obtain real-time traffic information for road user.