A Traffic Prediction System Based on Traffic Investigation Data and Mobile Phone Signaling

Traffic prediction is becoming more important for users to avoid traffic congestion. This paper represents a traffic prediction method based on the modelling of road traffic investigation data and mobile phone signaling as ElasticNet Regression using traffic investigation data and Road Node Fitting Algorithm using User Track. A framework is proposed to combine the two kinds of data and a multi-functional traffic prediction system. A prototype system is developed. Discussion is demonstrated in the paper.