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On Estimation of Link Travel Time in Floating Car Systems

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Abstract

Estimation of link travel times from measured values is a critical service of floating car information systems (probe car information systems), and the results of estimation are utilized to improve quality of vehicle navigation. Because actual link travel times are affected by various factors, such as time period, traffic volume, and weather, these factors should be considered to estimate the link travel time. Also, they should be considered to estimate the minimum amount of data needed to estimate link travel time while maintaining accuracy to optimize the floating car systems. In the systems currently being implemented, however, effects of the weather are not utilized to estimate the link travel time, and the minimum amount of necessary data has not been studied in detail. This paper reveals the effect of weather differences on estimated link travel time using data actually obtained by floating car systems. In particular, this paper pays attention to effects of snowfall. This paper also evaluates the amount of data required to obtain estimated link travel times considering effects of various factors.

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References

  1. VICS center home page, http://www.vics.or.jp/

  2. Makimura, K.: Forecasting traffic conditions based on probe data. IATSS Rev. 31(1), 31–38 (2006)

    Google Scholar 

  3. Imai, T., Tsuge, M.., Sugawara, A.: Internavi/floating car system and traffic-jam estimation (International Association of Traffic and Safety Sciences, IATSS Review 31(1): (2006), Special issue/Prediction/estimation in traffic)

  4. Horiguchi, R., Shimizu, Y., Kanazaki, T., Okamura, A., Ueda, N., Sugizaki, Y.: Probe data cleansing processing and analysis of operational characteristics by vehicle type (Infrastructure Planning Committee, Vol. 26, 2002).

  5. Srinivasan, K.K., Jovanis, P.P.: Determination of number of probe vehicles required for reliable travel time measurement in urban network. Transp. Res. Rec. 1537, 15–22 (1996)

    Article  Google Scholar 

  6. Sen, A., Thakuriah, P., Zhu, X.Q., Karr, A.: Frequency of probe reports and variance of travel time estimates. J. Transp. Eng. 123(4), 290–297 (1997)

    Article  Google Scholar 

  7. Chung, E., Ohtani, O., Warita, H., Kuwahara, M., Morita, H.: Does rainfall affect highway capacity? 5th TRB International Symposium on Highway Capacity and Quality of Service. Yokohama, Japan (2006)

    Google Scholar 

  8. Unrau, D., Andrey, J.: Driver response to rainfall on urban expressways. In: Transportation Research Record: Journal of the Transportation Research Board, No. 1980, Transportation Research Board of the National Academies, Washington, D.C., pp. 24–30 (2006).

  9. Billot, R., El Faouzi, N.-E., De Vuyst, F.: Multi-level assessment of the rain impact on drivers’ behaviours: standardized methodology and empirical analysis. In Proceedings of the 88nd annual meeting of the Transportation Research Board. CDROM. Transportation Research Board of the National Academies, Washington, D.C (2009).

  10. Hassan, Y.A., Barker, J.J.: The impact of unseasonable or extreme weather on traffic activity within Lothian region, Scotland. J. Transp. Geogr. 7(3), 209–213 (1999)

    Article  Google Scholar 

  11. Keay, K., Simmonds, I.: The association of rainfall and other weather variables with road traffic volume in Melbourne, Australia. Accid. Anal. Prev. 37, 109–124 (2005)

    Article  Google Scholar 

  12. “Outline of Area Mesh Statistics”, Ministry of Public Management Web Page. http://www.stat.go.jp/data/mesh/gaiyou.htm.

  13. Japan Weather Association Web Page, http://www.jwa.or.jp/

  14. Yao, E., Fujita, T., Satou, A., Sugisaki, Y.: The minimum sample size for reliable link travel time information. (ITS Japan, ITS symposium 5: P1-27 2006)

    Google Scholar 

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Acknowledgements

The authors would like to thank Mr. Hiroyuki Tsuda and Mr. Hiroshi Ohta, Sumitomo Electric System Solution Co., Ltd. and members of Internavi System Development & Planning Office; Honda, Motor Co., Ltd; and, for the actual data on floating car systems already implemented, as well as data processing.

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Authors and Affiliations

  1. External Affairs Division, Honda Motor Co., Ltd., 2-1-1 Minami-Aoyama, Minato-ku, Tokyo, 107-8556, Japan

    Masakuni Tsuge

  2. Faculty of Engineering, Niigata University, 2-8050, Ikarashi, Niigata, 950-2181, Japan

    Masataka Tokunaga, Keisuke Nakano & Masakazu Sengoku

Authors
  1. Masakuni Tsuge
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  2. Masataka Tokunaga
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  3. Keisuke Nakano
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  4. Masakazu Sengoku
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Correspondence to Masakuni Tsuge.

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Tsuge, M., Tokunaga, M., Nakano, K. et al. On Estimation of Link Travel Time in Floating Car Systems. Int. J. ITS Res. 8, 175–187 (2010). https://doi.org/10.1007/s13177-010-0015-8

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  • DOI: https://doi.org/10.1007/s13177-010-0015-8

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