A Traffic Speed Estimation Mechanism Based on the Signals of Cellular Networks

• Main Authors: Lin, Bon-Yeh, 林邦曄
• Other Authors: Lo, Chi-Chun
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/70477639062186152369

博士 === 國立交通大學 === 資訊管理研究所 === 100 === In recent years, fast economic growth and rapid technology advance have led to significant impact of the quality of traditional transport system. Intelligent Transportation System (ITS), which aims to improve the transport system, has therefore become more and more popular. In order for an ITS to be viable, it is essential to establish and promote effective real-time traffic information systems. Compared to other traditional traffic information collecting methods, the traffic information estimations from cellular network data are more immediately, cost-effective, and easy to deploy and maintain. In this paper, we propose a novel speed estimation method based on the signals of cellular network. We analyze the measurement reports sent by active phone in the cellular networks and adopt the k-nearest-neighbors based fingerprint positioning algorithm (kNN-based FPA) to obtain the location and speed information of cell phones. In the experiments, we compare the estimated positioning information and speed information with the real information obtained from Global Position System (GPS) receiver. The results show that the average error of location determination by using FPA is 36.11 meters. For speed estimation, the average error ratio by using FPA is 3.39%. Finally, we adopt the MapReduce algorithm and a modified columnar data model to accelerate the processing of FPA. The result shows this approach will be feasible to estimate the overall speed information for ITS improvement.