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Evaluation of Advanced Signal Control Systems with Sensing Technology by Simulation

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Systems Modeling and Simulation: Theory and Applications (AsiaSim 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3398))

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Abstract

This paper describes a new data collection system for determining individual vehicle routes from images detector sequence. These sensing technologies are installed at the traffic signal to gain a microscopic flow from upstream intersection. From the investigation, the techniques for analyzing the images can be applied for calculation of the traffic information. The image sensors are set for microscopic detection via the direction of vehicles, and for every lane at specified perception range. Two cases study has been carried out to analyze the method. We try to solve the problem of signal control system for the FAST system and complex intersection. Using image sensor for (i) control traffic flow in FAST system, (ii) manage the control system in complicated intersection, is highly proposed. Arena simulations are used to analysis the investigation data and monitoring the traffic signal control system performance.

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References

  1. Nazmi, M., Hanim, N., Takaba, S.: A Traffic Signal Control System Strategy On The Data Collection Inside The Intersection. IEEJ-JIASC03 (August 2003)

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  2. Nazmi, M., Takaba, S.: An Intelligent Transport Management System. – Focus on Microscopic Traffic Signal Control. In: The 1st Seoul International Simulation Conf. (SeoulSim 2001), Seoul, pp. 77–82 (November 2001)

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  3. Takaba, S.: A Method of Special Flow Measuring Using Moving Pictures and Its Application. JSST (June 1985)

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© 2005 Springer-Verlag Berlin Heidelberg

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Nazmi, M., Hanim, N., Takaba, S. (2005). Evaluation of Advanced Signal Control Systems with Sensing Technology by Simulation. In: Baik, DK. (eds) Systems Modeling and Simulation: Theory and Applications. AsiaSim 2004. Lecture Notes in Computer Science(), vol 3398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30585-9_44

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  • DOI: https://doi.org/10.1007/978-3-540-30585-9_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24477-6

  • Online ISBN: 978-3-540-30585-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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