Abstract
Because the number of lanes in the expressway ramp area is reduced, and the ramp vehicles need to change lanes to join the main road, resulting in the merge area is prone to stop and congestion, which is the bottleneck area affecting the road capacity. Intelligent connected vehicles with strong detection and perception and network interaction ability can effectively cooperate with traffic participants, to achieve effective regulation of traffic flow. This paper mainly constructs the scenario of ramp merging of intelligent networked vehicles. The ramp area is divided into the pre-merge area, speed adjustment area, and import area, and the optimization mechanism based on the event trigger is applied. Based on the ramp scenario above, the virtual formation merging control method is applied in this paper. Finally, SUMO, a traffic simulation controller, is used to construct the ramp scenario, and the virtual formation-based merging method is verified in the full CAV scenario. Simulation results show that the proposed method can effectively reduce vehicle traffic delay and improve road throughput.
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Acknowledgement
This work was funded by China National Key Research and Development Program, grant number: NO.2018YFE0197700.
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Guo, Y., Wang, W., Chen, W., Han, C., Shi, Y. (2023). Ramp Merging of Connected Vehicle With Virtual Platooning Control. In: Sun, Y., et al. Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2022. Communications in Computer and Information Science, vol 1681. Springer, Singapore. https://doi.org/10.1007/978-981-99-2356-4_17
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DOI: https://doi.org/10.1007/978-981-99-2356-4_17
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