Abstract
The use of Green Light Optimal Speed Advisory (GLOSA) systems is currently considered one of the key applications for achieving more stable, environmentally friendly, and efficient traffic flows in the vicinity of signalized intersections. This paper addresses a driver advisory system that provides an efficient driving strategy based on our GLOSA system and evaluates its impact on traffic flow characteristics. Assuming five levels of traffic demand, traffic simulations were carried out to investigate the performance of the system in terms of the travel time, fuel consumption, and carbon dioxide (CO2) emissions of vehicles entering and exiting an artificial corridor. Our numerical analysis showed that our GLOSA system performs well in traffic flows where the arriving demand is less than 400 to 500 vehicles per hour. In other situations, it increases congestion, impedes efficiency, and significantly worsens the environment.
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Acknowledgments
The Research is 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. (2019). A New Approach to Green Light Optimal Speed Advisory (GLOSA) Systems and Its Limitations in Traffic Flows. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_118
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DOI: https://doi.org/10.1007/978-3-030-02053-8_118
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