Calculation of intersection delay based on mixed low-frequency vehicle trajectories

ZHANG Jianbo; SUN Jianping; LI Xiao; ZHAO Xiang; XU Dezhong

doi:10.11860/j.issn.1673-0291.20230101

Abstract：To address the issues of low and inconsistent sampling frequencies of trajectories for intelli-gent and connected vehicles from different sources in road traffic operation monitoring and evaluation,this paper proposes a method for calculating intersection delay using mixed low-frequency vehicle tra-jectories. Firstly,a piecewise fitting function is designed to reconstruct low-frequency trajectories of intelligent and connected vehicles,capturing the speed variation trends and critical acceleration/decel-eration points within the intersection area. Then,based on measured trajectories,the error characteris-tics of intersection vehicle delay under different sampling frequencies and passing speeds are quantita-tively analyzed. Building on this,a fusion calculation and correction method for intersection delay us-ing multi-source trajectories are developed,utilizing prior error correction and weighted mixed low-frequency trajectory delay results. Finally,the effectiveness of the proposed method is validated through Monte Carlo experiments. The results show that both vehicle speed and sample size signifi-cantly impact the delay error of low-frequency trajectory vehicles at intersections. With the same speed interval and sample size,the larger the sampling interval,the greater the average delay error of recon-structed low-frequency trajectories. With a sample size of 10 mixed low-frequency trajectories,the proposed method achieves a relative error probability of 93.6％ within 8％ for the average vehicle de-lay at intersections,demonstrating that the method effectively enhances the accuracy of intersection de-lay measurements using mixed low-frequency trajectories.