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- W4319844985 abstract "Signal phase and timing (SPaT) information is a necessary input for traffic performance evaluation. However, current SPaT estimation studies mainly focus on estimation of cycle length or green time of a certain movement, and are realized mostly by floating car data whose data quality significantly affects the estimation accuracy. As license plate recognition (LPR) systems are becoming a widely implemented and reliable data source in China, in this study, a SPaT estimation method is proposed using the LPR data for fixed-time controlled intersections. The SPaT estimation problem is formulated as a bi-level programming model to find the optimal match between the phase boundaries and the LPR passing time series in the study period. Evaluation is done with an empirical case and compared with an existing method, results show that the estimation accuracies of the phase duration can reach 90.0%, outperforming the existing method and demonstrating great potential for practical application." @default.
- W4319844985 created "2023-02-11" @default.
- W4319844985 creator A5025397133 @default.
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- W4319844985 date "2023-01-20" @default.
- W4319844985 modified "2023-09-24" @default.
- W4319844985 title "A bi-Level programming method for SPaT estimation at fixed-time controlled intersections using license plate recognition data" @default.
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- W4319844985 doi "https://doi.org/10.1080/21680566.2023.2165191" @default.
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