Abstract
Recognition, tracking, and prediction of traffic are necessary for almost all traffic engineering applications, in particular for vehicle routing guidance systems, traffic control, assignment and management (e.g., [21,495,517–520,522–524,526–534]). In all these and other engineering applications a knowledge of current spatiotemporal congested patterns and their prediction are of a great importance. The main aim of this chapter is a discussion of results of methods for recognition, tracking, and prediction of spatiotemporal congested patterns at freeway bottlenecks.
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© 2004 Springer-Verlag Berlin Heidelberg
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Kerner, B.S. (2004). Spatiotemporal Pattern Recognition, Tracking, and Prediction. In: The Physics of Traffic. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40986-1_22
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DOI: https://doi.org/10.1007/978-3-540-40986-1_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05850-9
Online ISBN: 978-3-540-40986-1
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