IEEE - Institute of Electrical and Electronics Engineers, Inc. - The short-term traffic volume forecasting for urban interchange based on RBF Artificial Neural Networks

2009 International Conference on Mechatronics and Automation (ICMA)

Author(s): Xiaodong Zang
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2009
Conference Location: Changchun, China, China
Conference Date: 9 August 2009
Page(s): 2,607 - 2,611
ISBN (CD): 978-1-4244-2693-5
ISBN (Paper): 978-1-4244-2692-8
DOI: 10.1109/ICMA.2009.5246693
Regular:

According to the field data, analyzing the difference between the traffic flow characteristics of the interchange and that of the road base section. Researching the influence of the total traffic... View More

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