Abstract
Recently, the problem of traffic jam in major cities is getting worse. By leveraging the taxi GPS data of Shenzhen, this paper analyzes the urban traffic status and proposes rational suggestions for urban traffic management. In particular, this paper firstly presents the get-on and get-off points on GIS map based on taxi GPS data. Secondly, by using K-Means algorithm to allocate urban traffic cells, the hot areas where passenger flow is huge are pointed out. Finally, based on the taxi speed, we locate the crowded area and find the crowded period, then analyze the reasons that cause the traffic jam and propose rational suggestions for urban traffic management.
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Meng, L., Ru-tong, L., Yong, X., Zhi-guang, Q. (2014). Analysis of Urban Traffic Based on Taxi GPS Data. In: Jeong, H., S. Obaidat, M., Yen, N., Park, J. (eds) Advances in Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41674-3_140
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DOI: https://doi.org/10.1007/978-3-642-41674-3_140
Publisher Name: Springer, Berlin, Heidelberg
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