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Heuristic Algorithm for Estimating Travel Speed in Traffic Signalized Networks

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

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Abstract

Theoretic methods for travel speed estimation are common in the traffic literature, but treatments of how to account delay caused by traffic signal are less common. This paper is an attempt to improve conventional technique for evaluating travel speed in signalized intersection networks. To do so, this paper employs new concept which is associated with the vehicles’ trajectory in the time-space diagram. The most useful advantage of the algorithm proposed in this paper is that, the traffic analysts can reduce much tedious works for screening and selecting a bunch of speed data.

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References

  1. Lee, S., Oh, S., Son, B.: Heuristic algorithm for Traffic Condition Classification with Loop Detector Data. In: Gervasi, O., Gavrilova, M.L., Kumar, V., Laganá, A., Lee, H.P., Mun, Y., Taniar, D., Tan, C.J.K. (eds.) ICCSA 2005. LNCS, vol. 3481, pp. 816–821. Springer, Heidelberg (2005)

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  3. Lee, S., Son, B.: A Study of Measuring the Effectiveness for Road Safety Feature Improvement. In: The 4th Conference of Eastern Asia Society for Transportation Studies, Hanoi, Vietnam, October 24-27 (2001)

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  4. Son, B., Kim, H., Shin, C., Lee, S.: Bus Arrival Time Prediction Method for ITS Application. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3215, pp. 88–94. Springer, Heidelberg (2004)

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, H.J., Son, B., Lee, S., Oh, SC. (2005). Heuristic Algorithm for Estimating Travel Speed in Traffic Signalized Networks. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_10

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  • DOI: https://doi.org/10.1007/11553939_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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