Abstract
The use of green light optimal speed advisory (GLOSA) systems is seen as a key application for achieving more environmentally friendly, time efficient and safer traffic flows at signalized intersections. However, while previous GLOSA systems provide optimum speed advice to drivers, we have proposed a GLOSA system concept that informs drivers of the appropriate position of their vehicle instead of their optimal speed. This paper reports on a performance evaluation of our proposed GLOSA system using information distance variations. Information distance is defined as the distance between the subject vehicle and the closest traffic signal where the GLOSA system first becomes active. Traffic simulator experiments showed that the earlier activation of the GLOSA system is particularly effective when the approach traffic demand is relatively lower. In other situations, the partial assistance (PA) mode, in which the GLOSA system is activated only when the signal is red, performed well.
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Acknowledgments
Research supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant-in-Aid for Scientific Research (B) JP17H02055.
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Suzuki, H., Marumo, Y. (2020). Evaluating Green Light Optimum Speed Advisory (GLOSA) System in Traffic Flow with Information Distance Variations. In: Ahram, T., Taiar, R., Colson, S., Choplin, A. (eds) Human Interaction and Emerging Technologies. IHIET 2019. Advances in Intelligent Systems and Computing, vol 1018. Springer, Cham. https://doi.org/10.1007/978-3-030-25629-6_78
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DOI: https://doi.org/10.1007/978-3-030-25629-6_78
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