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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
Barth, M., Boriboonsomsin, K.: Real-world CO2 impacts of traffic congestion. Transp. Res. Rec. 2058, 163–171 (2008)
Barth, M., Boriboonsomsin, K.: Energy and emissions impacts of a freeway-based dynamic eco-driving system. Transp. Res. Part D 14, 400–410 (2009)
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)
Center for Global Environmental Research: National Greenhouse Gas Inventory Report of Japan. Greenhouse Gas Inventory Office of Japan, Ministry of the Environment, Japan (2016)
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)
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)
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)
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
Kircher, K., Fors, C., Ahlstrom, C.: Continuous versus intermittent presentation of visual eco-driving advice. Transp. Res. Part F 24, 27–38 (2014)
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)
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)
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
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)
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)
Staubach, M., Schebitz, N., Köster, F., Kuck, D.: Evaluation of an eco-driving support system. Transp. Res. Part F 27, 11–21 (2014)
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)
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)
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)
Acknowlegement
This study has been supported by JSPS KAKENHI Grant Number 15K06262.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-57105-8_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57104-1
Online ISBN: 978-3-319-57105-8
eBook Packages: EngineeringEngineering (R0)