Modeling and impact analysis of connected vehicle merging accounting for mainline random length tight-platoon

Qi Xin, Rui Fu, Satish V. Ukkusuri, Shaowei Yu and Rui Jiang

Physica A: Statistical Mechanics and its Applications, 2021, vol. 563, issue C

Abstract: To reveal impacts of tight-platoon on connected vehicle (CV) merging, a merging advisory model is proposed to account for mainline random length tight-platoon. The tight-platoon is modeled by a consensus based algorithm with constant spacing under looking forward communication topologies, and string stabilities are analyzed to ensure robustness against gap disturbances. To ensure traffic safety, a floating merging point speed advisory model (FMP-SAM) based on finite state machine and virtual vehicle mapping is proposed to address merging conflicts. Besides, a rolling horizon control is employed in FMP-SAM to smooth speed trajectory of merging leader during gap adaption. Simulations results indicate that encouraging CV to drive in tight-platoon can improve safety, enhance mobility, conserve fuel consumption, reduce congestion and improve road capacity at higher traffic demand. Besides, FMP-SAM can improve FE performance greatly without sacrificing other performance metrics when compared with baseline merging advisory model.

Keywords: Merging advisory model; Consensus platoon; Rolling horizon control; Finite state machine; Virtual vehicle mapping (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:563:y:2021:i:c:s0378437120307706

DOI: 10.1016/j.physa.2020.125452

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