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交叉口路况的导向运输系统安全间隔控制研究 被引量:1

Research on safety headway control of GTS based on intersection condition evaluation
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摘要 为保障导向运输系统(GTS)区间追踪运行的安全性与高效性,提出一种基于交叉口路况的区间追踪安全间隔控制方法。针对导向运输系统运营需求,考虑信号相位的差异性,建立道路交叉口路况评价体系,并基于一种模糊综合评价方法(FAGT)建立路况评价模型;基于人工势场法引入时变参数,提出时变混合人工势场法(TH-APF),并设计导向运输列车区间追踪间隔时间控制算法,动态控制导向车追踪间隔;仿真实际线路交通数据。结果表明:交叉口路况评价模型的结果与第三方评价的一致有效性,导向运输列车追踪间隔算法可针对路况作出反应,且可避免人工势场法局部最优点问题,使追踪间隔时间达到平均140 s,提高运行效率。 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.
作者 曹源 于潇 孙永奎 CAO Yuan;YU Xiao;SUN Yongkui(State Key Lab of Rail Traffic Control&Safety,Beijing Jiaotong University,Beijing 100044,China;School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;National Engineering Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing 100044,China)
出处 《中国安全科学学报》 CAS CSCD 北大核心 2022年第6期144-150,共7页 China Safety Science Journal
基金 国家自然科学基金资助(U1934219,52022010) 轨道交通控制与安全国家重点实验室(北京交通大学)自主研究课题资助(RCS2022ZI002)
关键词 交叉口路况 导向运输系统(GTS) 追踪间隔控制 模糊综合评价 时变混合人工势场法(TH-APF) intersection condition evaluation guided transport system(GTS) tracking headway control fuzzy comprehensive evaluation time-varying hybrid artificial potential field method(TH-APF)
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