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Vehicle Routing Based on Traffic Cost at Intersection

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Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6682))

Abstract

Road/route searching problems have been investigated traditionally as one of the most basic/interesting issues for our human activities. In particular, the computer-supported route planning systems such as a car navigation system are usable in a wide range of applications. In this paper, we address a traffic route planning system to make the cost-effective driving time possible in comparison with the shortest route selection. Our idea is to compute the waiting time occurred by traffic signals at intersection and estimate the total driving time by the waiting time and ordinary running time for shortest route. In order to attain this objective, we distinguish the external link for road segment and the internal link which is three direction-dependent paths in inside of intersection: right-turn, straight and left-turn. Namely, the internal link is introduced to manipulate the waiting time in inside of intersection in addition to the conventional external link.

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References

  1. Ezawa, H., Mukai, N.: Adaptive traffic signal control based on vehicle route sharing by wireless communication. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds.) KES 2010. LNCS, vol. 6279, pp. 280–289. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  2. Bazzan, A., Boffo, F., Klugl, F.: Avoiding the Braess Paradox with Information Manipulation. In: Proc. of Workshop on Agents in Traffic and Transportation in 3rd International Joint Conference on Autonomous Agents and Multi-agent Systems, pp. 1–7 (2004)

    Google Scholar 

  3. Yamashita, T., Izumi, K., Kurumatani, K., Nakashima, H.: Smooth Traffic Flow with a Cooperative Car Navigation System. In: Proc. of International Joint Conference on Autonomous Agents and Multi-agent Systems, pp. 478–485 (2005)

    Google Scholar 

  4. Bruce, G.: Shortest-path Algorithm: A Comparison. Operations Research 24(6) (1976)

    Google Scholar 

  5. Rice, J., Zwet, E.V.: A Simple and Effective Method for Prediction Travel Times on Freeways. IEEE Trans. on Intelligent Transportation System 5(2), 200–207 (2004)

    Article  Google Scholar 

  6. Yu, J., Chang, G.-L., Ho, H., Liu, Y.: Variation Based Online Travel Time Prediction Using Clustered Neural Networks. In: Proc. of International IEEE Conference on Intelligent Transportation Systems, pp. 85–90 (2008)

    Google Scholar 

  7. Jastrzebski, W.P.: Volume Delay Function. In: Proc. of International EMME/2 Users’ Group Conference, pp. 1–7 (2000)

    Google Scholar 

  8. Bureau of Public Roads, Traffic Assignment Manual, U.S. Department of Commerce (1964)

    Google Scholar 

  9. Spiess, H.: Conical Volume Delay Functions. Transportation Science 24(2) (2000)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Watanabe, T., Lijiao, C. (2011). Vehicle Routing Based on Traffic Cost at Intersection. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2011. Lecture Notes in Computer Science(), vol 6682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22000-5_61

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  • DOI: https://doi.org/10.1007/978-3-642-22000-5_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21999-3

  • Online ISBN: 978-3-642-22000-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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