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Evaluation of CO2 Emission Reduction from Vehicles by Information Provision Using Driving Simulator

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Advanced Concepts, Methodologies and Technologies for Transportation and Logistics (EURO 2016, EWGT 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 572))

Abstract

Reduction of CO2 emissions has become an important social issue all over the world. Especially, the transportation sector is expected to play a sufficient role for it. Therefore, the information provision system to a vehicle for passing through the upcoming signalized intersection is proposed in this paper to decrease unnecessary vehicle movements and also to reduce the amount of CO2 emissions from a vehicle approaching the signalized intersection. The system provides recommended speed information and accelerator-off indication, in which the vehicle could pass through the intersection or shorten the idling time if it would follow the provided information. Driving experiments were conducted with a driving simulator where the proposed information system was introduced. Multiple regression analysis showed that providing the recommended speed information and the accelerator-off indication reduced the amount of CO2 emissions significantly. However, as subjective evaluations of the system by participants were dispersed, the information provision system is expected to be tailored to each driving characteristics.

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References

  1. Asadi, B., Vahidi, A.: Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time. IEEE Trans. Control Syst. Technol. 19(3), 707–714 (2010)

    Article  Google Scholar 

  2. Barth, M., Boriboonsomsin, K.: Real-world CO2 impacts of traffic congestion. Transp. Res. Rec. 2058, 163–171 (2008)

    Article  Google Scholar 

  3. Barth, M., Boriboonsomsin, K.: Energy and emissions impacts of a freeway-based dynamic eco-driving system. Transp. Res. Part D 14, 400–410 (2009)

    Article  Google Scholar 

  4. Brouwer, R.F.T., Stuiver, A., Hof, T., Kroon, L., Pauwelussen, J., Holleman, B.: Personalised feedback and eco-driving: An explorative study. Transp. Res. Part C 58, 760–771 (2015)

    Article  Google Scholar 

  5. Center for Global Environmental Research: National Greenhouse Gas Inventory Report of Japan. Greenhouse Gas Inventory Office of Japan, Ministry of the Environment, Japan (2016)

    Google Scholar 

  6. Iwata, Y., Otake, H., Takagi, M.: Results from simulation evaluation of green wave advisory system. In: Proceedings of 19th ITS World Congress, p. 9 (2012)

    Google Scholar 

  7. Jamson, S.L., Hibberd, D.L., Jamson, A.H.: Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behavior. Transp. Res. Part C 58, 657–668 (2015)

    Article  Google Scholar 

  8. Jamson, A.H., Hibberd, D.L., Merat, N.: Interface design considerations for an in-vehicle eco-driving assistance system. Transp. Res. Part C 58, 642–656 (2015)

    Article  Google Scholar 

  9. Kadoyu, K., Doi, M., Kanbayashi, K.: Grasping Property of Freight Vehicle Emissions on Real Road. NILIM 2013, National Institute for Land and Infrastructure Management, pp. 106 (2013). in Japanese

    Google Scholar 

  10. Kircher, K., Fors, C., Ahlstrom, C.: Continuous versus intermittent presentation of visual eco-driving advice. Transp. Res. Part F 24, 27–38 (2014)

    Article  Google Scholar 

  11. Matsumoto, Y., Oshima, T., Iwamoto, R.: Effect of information provision around signalized intersection on reduction of CO2 emission from vehicles. Procedia Soc. Behav. Sci. 111, 1015–1024 (2014)

    Article  Google Scholar 

  12. Niu, D., Sun, J.: Eco-driving versus green wave speed guidance for signalized highway traffic: A multi-vehicle driving simulator study. Procedia Soc. Behav. Sci. 96, 1079–1090 (2013)

    Article  Google Scholar 

  13. Oguchi, T., Katakura, M., Taniguchi, M.: Carbon dioxide emission model in actual urban road vehicular traffic conditions. J. Jpn. Soc. Civ. Eng. 695, 125–136 (2002). in Japanese

    Google Scholar 

  14. Rakha, H., Kamalanathsharma, R.K.: Eco-driving at signalized intersections using V2I communication. In: 14th International IEEE Conference on Intelligent Transportation Systems, pp. 341–346 (2011)

    Google Scholar 

  15. Rossi, R., Gastaldi, M., Biondi, F., Mulatti, C.: Warning sound to affect perceived speed in approaching roundabouts: Experiments with a driving simulation. Procedia Soc. Behav. Sci. 87, 269–278 (2013)

    Article  Google Scholar 

  16. Staubach, M., Schebitz, N., Köster, F., Kuck, D.: Evaluation of an eco-driving support system. Transp. Res. Part F 27, 11–21 (2014)

    Article  Google Scholar 

  17. Tielert, T., Killat, M., Hartenstein, H., Luz, R., Hausberger, S., Benz, T.: The impact of traffic-light-to-vehicle communication on fuel consumption and emissions. In: Internet of Things (IOT), pp. 1–8. IEEE (2010)

    Google Scholar 

  18. Ubiergo, G.A., Jin, W.: Mobility and environment improvement of signalized networks through vehicle-to-infrastructure (V2I) communications. Transp. Res. Part C 68, 70–82 (2016)

    Article  Google Scholar 

  19. Widodo, S., Hasegawa, T., Tsugawa, S.: Vehicle fuel consumption and emission estimation in environment-adaptive driving with or without inter-vehicle communications. In: Proceedings of the IEEE 23 Intelligent Vehicles Symposiums, vol. 2001, pp. 382–386 (2000)

    Google Scholar 

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Acknowlegement

This study has been supported by JSPS KAKENHI Grant Number 15K06262.

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Correspondence to Yukimasa Matsumoto .

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Matsumoto, Y., Ishiguro, S. (2018). Evaluation of CO2 Emission Reduction from Vehicles by Information Provision Using Driving Simulator. In: Żak, J., Hadas, Y., Rossi, R. (eds) Advanced Concepts, Methodologies and Technologies for Transportation and Logistics. EURO EWGT 2016 2016. Advances in Intelligent Systems and Computing, vol 572. Springer, Cham. https://doi.org/10.1007/978-3-319-57105-8_14

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  • DOI: https://doi.org/10.1007/978-3-319-57105-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57104-1

  • Online ISBN: 978-3-319-57105-8

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