Research on safety headway control of GTS based on intersection condition evaluation

doi:10.16265/j.cnki.issn1003-3033.2022.06.2345

Abstract

Abstract:

In order to ensure safety and efficiency of section tracking operation of GTS, a safety headway control method based on intersection conditions was proposed. Firstly, considering GTS operation needs and difference of signal phase, an evaluation system of road intersections was established before an evaluation model was developed based on fuzzy comprehensive evaluation method (FAGT). Secondly, time-varying parameters were introduced based on artificial potential field method, TH-APF was proposed, and tracking headway control algorithm was designed to dynamically control the headway of guide transport vehicles. Finally, real traffic routes were simulated. The results show that the results of the proposed evaluation model are consistent with third-party assessment outcomes. The tracking headway control algorithm of GTS can respond to road conditions and avoid local optimum of artificial potential field method, making tracking headway reach an average of 140s, thus improving operating efficiency.

Key words: intersection condition evaluation, guided transport system (GTS), tracking headway control, fuzzy comprehensive evaluation, time-varying hybrid artificial potential field method (TH-APF)

CAO Yuan, YU Xiao, SUN Yongkui. Research on safety headway control of GTS based on intersection condition evaluation[J]. China Safety Science Journal, 2022, 32(6): 144-150.

Figures/Tables 12

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