Research on Branch Traffic Flow Inversion and Monitoring Based on Main Road Data

Shuneng Lin

doi:10.71204/79qdc290

Authors

Shuneng Lin Shanghai Polytechnic University Author

DOI:

https://doi.org/10.71204/79qdc290

Keywords:

Y-Shaped Road Structure, Branch Traffic Flow, Sequential Least Squares Programming

Abstract

Accurate deduction of the historical trend of road branch traffic flow can provide data and method support for road resource planning and other issues. This paper proposes a branch traffic flow inversion and monitoring method based on main road data. Firstly, this study focuses on the typical Y-shaped road structure, and analyzes the single-peak variation characteristics of the traffic flow of branch 1 rising linearly with time and branch 2 rising first and then falling. The linear function and piecewise linear function are used to construct the sum relationship model of the traffic flow of the two branches and the main road. Then, the nonlinear least squares fitting is implemented by introducing the sequential least squares programming (SLSQP) algorithm, and reasonable boundary conditions and trend constraints are set. Finally, experimental verification shows that this method achieves extremely high fitting accuracy, clearly restores the trend of branch flow, and effectively verifies the scientificity and engineering practicability of the research method.

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