TY - GEN
T1 - An Approach to Estimate Traffic Speed Based on Cellular Network Signaling Data on Highways
AU - Song, Zhixin
AU - Zhu, Tongyu
AU - Wu, Dongdong
AU - Lius, Suai
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/12
Y1 - 2014/12/12
N2 - Traffic speed is one of the most essential parameters representing traffic conditions in intelligent traffic system (ITS). In recent years, there have been several approaches estimating traffic speed based on cellular network signaling data. However, the accuracy of these approaches is unsatisfactory because they have a poor performance in filtering out noisy data and minimizing deviations of traffic speed values' trend in adjacent time intervals. In this paper, a new approach is proposed to solve the two problems above. The approach filters out noisy data according to educated judgment, and adopts a modified Kalman filter algorithm to minimize the deviations. The performance study on real data sets of Beijing shows that the accuracy of the proposed approach is higher when compared with existing two notable estimation approaches. Further the approach will contribute to developing intelligent navigation systems and pursuing artificial intelligence applications.
AB - Traffic speed is one of the most essential parameters representing traffic conditions in intelligent traffic system (ITS). In recent years, there have been several approaches estimating traffic speed based on cellular network signaling data. However, the accuracy of these approaches is unsatisfactory because they have a poor performance in filtering out noisy data and minimizing deviations of traffic speed values' trend in adjacent time intervals. In this paper, a new approach is proposed to solve the two problems above. The approach filters out noisy data according to educated judgment, and adopts a modified Kalman filter algorithm to minimize the deviations. The performance study on real data sets of Beijing shows that the accuracy of the proposed approach is higher when compared with existing two notable estimation approaches. Further the approach will contribute to developing intelligent navigation systems and pursuing artificial intelligence applications.
KW - Cellular network signaling data
KW - intelligent traffic system (ITS)
KW - traffic speed estimation
UR - https://www.scopus.com/pages/publications/84946576090
U2 - 10.1109/ICTAI.2014.139
DO - 10.1109/ICTAI.2014.139
M3 - 会议稿件
AN - SCOPUS:84946576090
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 914
EP - 921
BT - Proceedings - 2014 IEEE 26th International Conference on Tools with Artificial Intelligence, ICTAI 2014
PB - IEEE Computer Society
T2 - 26th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2014
Y2 - 10 November 2014 through 12 November 2014
ER -