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Simulation Analysis on Optimal Merging Control of Connected Vehicles for Minimizing Travel Time

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Abstract

This study examined a cooperative merging control methodology for connected vehicles to optimize traffic flow without considering a traffic priority/non-priority at intersections. A cellular automata microsimulation was constructed to examine the methodology. It was used for simulating the traffic condition and for predicting a future conflict between two vehicles at a T-junction or cross-junction. Optimum vehicle control patterns of the two vehicles for avoiding the conflict and minimizing the total travel time of all vehicles on the road network was examined. Simulation results demonstrate that the proposed methodology can reduce total travel time and that the control patterns become more diverse as the traffic volume increases.

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Acknowledgments

This research is supported by the Center of Innovation Program from Japan Science and Technology Agency, JST and JSPS KAKENHI Grant-in-Aid for Challenging Exploratory Research Number JP 17 K18900.

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Authors and Affiliations

  1. Institution of Innovation for Future Society, Nagoya University, Nagoya, Japan

    Mutsumi Tashiro & Takayuki Morikawa

  2. Hitachi, Ltd., Tokyo, Japan

    Hiroki Motoyama

  3. Department of Civil and Environmental Engineering, Nagoya University, Nagoya, Japan

    Yuki Ichioka

  4. Institution of Materials and Systems for Sustainability, Nagoya University, Nagoya, Japan

    Tomio Miwa

Authors
  1. Mutsumi Tashiro
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  2. Hiroki Motoyama
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  3. Yuki Ichioka
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  4. Tomio Miwa
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  5. Takayuki Morikawa
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Correspondence to Mutsumi Tashiro.

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Tashiro, M., Motoyama, H., Ichioka, Y. et al. Simulation Analysis on Optimal Merging Control of Connected Vehicles for Minimizing Travel Time. Int. J. ITS Res. 18, 65–76 (2020). https://doi.org/10.1007/s13177-018-0172-8

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  • DOI: https://doi.org/10.1007/s13177-018-0172-8

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