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Green Light Optimum Speed Advisory (GLOSA) System with Signal Timing Variations - Traffic Simulator Study

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Human Systems Engineering and Design II (IHSED 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1026))

Abstract

Green light optimal speed advisory (GLOSA) systems are vehicle-to-everything (V2X) communication applications that transfer signal information between vehicles and traffic lights in order to achieve higher time and energy efficiency together with safer traffic at signalized intersections. This paper focuses on the Red to Green Time (RGT) ratio of traffic lights and evaluates our GLOSA system performance levels and limitations using RGT ratio variations in traffic simulator experiments. Statistical analyses showed that when the RGT ratio is almost 1 (i.e. red time and green time are almost equal), the partial assistance (PA) mode, in which the GLOSA system only activates during red signals, is highly recommended in terms of traffic efficiency and environmental impact. In contrast, when the RGT ratio is less than 1, the full assistance (FA) mode, which assists the vehicle regardless of the signal phase, performed better than the PA mode provided that the travel time is not significantly increased.

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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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Authors and Affiliations

  1. Department of Robotics, Nippon Institute of Technology, 4-1 Gakuendai, Miyashiro, Saitama, 3458501, Japan

    Hironori Suzuki

  2. Department of Mechanical Engineering, Nihon University, 1-2-1 Izumicho, Narashino, Chiba, 2758575, Japan

    Yoshitaka Marumo

Authors
  1. Hironori Suzuki
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  2. Yoshitaka Marumo
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Corresponding author

Correspondence to Hironori Suzuki .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Department of Computer Science, Universität der Bundeswehr München, Neubiberg, Germany

    Stefan Pickl

  4. Université de Reims Champagne Ardenne, Reims Cedex 2, France

    Redha Taiar

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Suzuki, H., Marumo, Y. (2020). Green Light Optimum Speed Advisory (GLOSA) System with Signal Timing Variations - Traffic Simulator Study. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_89

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