In recent years,the environment of railways and the systems such as CBTC(communication based train control)have been changing.To respond the changes and the needs of customers,a UTCS(unified train control system)has b...In recent years,the environment of railways and the systems such as CBTC(communication based train control)have been changing.To respond the changes and the needs of customers,a UTCS(unified train control system)has been developed to realize a system that evolves with customers.Previous type systems consist of independent components such as ATC(Automatic train control)system,electronic interlocking system,and facility monitoring system,and there are a complicated overlap of system configurations and functions and difference in concept between the systems.On the other hand,the integrated train control system consists of horizontal layers such as function layer,network layer,and terminal layer.Therefore,the system has been developed to make it simple with no unnecessary redundancy and evolving to meet the needs of customers.In this paper,we explain a method that realizes the interlocking function for CBTC system in the function layer based on the concept of“securing a train travelling path”including path blocking and routing,and evaluate the safety of the method using STAMP/STPA.展开更多
The application of Global Navigation Satellite Systems(GNSSs)in the intelligent railway systems is rapidly developing all over the world.With the GNSs-based train positioning and moving state perception,the autonomy a...The application of Global Navigation Satellite Systems(GNSSs)in the intelligent railway systems is rapidly developing all over the world.With the GNSs-based train positioning and moving state perception,the autonomy and flexibility of a novel train control system can be greatly enhanced over the existing solutions relying on the track-side facilities.Considering the safety critical features of the railway signaling applications,the GNSS stand-alone mode may not be sufficient to satisfy the practical requirements.In this paper,the key technologies for applying GNSS in novel train-centric railway signaling systems are investigated,including the multi-sensor data fusion,Virtual Balise(VB)capturing and messaging,train integrity monitoring and system performance evaluation.According to the practical characteristics of the novel train control system under the moving block mode,the details of the key technologies are introduced.Field demonstration results of a novel train control system using the presented technologies under the practical railway operation conditions are presented to illustrate the achievable performance feature of autonomous train state perception using BeiDou Navigation Satellite System(BDS)and related solutions.It reveals the great potentials of these key technologies in the next generation train control system and other GNSS-based railway implementations.展开更多
Purpose–This paper aims to propose a train timetable rescheduling(TTR)approach from the perspective of multi-train tracking optimization based on the mutual spatiotemporal information in the high-speed railway signal...Purpose–This paper aims to propose a train timetable rescheduling(TTR)approach from the perspective of multi-train tracking optimization based on the mutual spatiotemporal information in the high-speed railway signaling system.Design/methodology/approach–Firstly,a single-train trajectory optimization(STTO)model is constructed based on train dynamics and operating conditions.The train kinematics parameters,including acceleration,speed and time at each position,are calculated to predict the arrival times in the train timetable.A STTO algorithm is developed to optimize a single-train time-efficient driving strategy.Then,a TTR approach based on multi-train tracking optimization(TTR-MTTO)is proposed with mutual information.The constraints of temporary speed restriction(TSR)and end of authority are decoupled to calculate the tracking trajectory of the backward tracking train.The multi-train trajectories at each position are optimized to generate a timeefficient train timetable.Findings–The numerical experiment is performed on the Beijing-Tianjin high-speed railway line and CR400AF.The STTO algorithm predicts the train’s planned arrival time to calculate the total train delay(TTD).As for the TSR scenario,the proposed TTR-MTTO can reduce TTD by 60.60%compared with the traditional TTR approach with dispatchers’experience.Moreover,TTR-MTTO can optimize a time-efficient train timetable to help dispatchers reschedule trains more reasonably.Originality/value–With the cooperative relationship and mutual information between train rescheduling and control,the proposed TTR-MTTO approach can automatically generate a time-efficient train timetable to reduce the total train delay and the work intensity of dispatchers.展开更多
文摘In recent years,the environment of railways and the systems such as CBTC(communication based train control)have been changing.To respond the changes and the needs of customers,a UTCS(unified train control system)has been developed to realize a system that evolves with customers.Previous type systems consist of independent components such as ATC(Automatic train control)system,electronic interlocking system,and facility monitoring system,and there are a complicated overlap of system configurations and functions and difference in concept between the systems.On the other hand,the integrated train control system consists of horizontal layers such as function layer,network layer,and terminal layer.Therefore,the system has been developed to make it simple with no unnecessary redundancy and evolving to meet the needs of customers.In this paper,we explain a method that realizes the interlocking function for CBTC system in the function layer based on the concept of“securing a train travelling path”including path blocking and routing,and evaluate the safety of the method using STAMP/STPA.
基金supported by National Key Research and Development Program of China(2022YFB4300501)National Natural Science Foundation of China(62027809,U2268206,T2222015).
文摘The application of Global Navigation Satellite Systems(GNSSs)in the intelligent railway systems is rapidly developing all over the world.With the GNSs-based train positioning and moving state perception,the autonomy and flexibility of a novel train control system can be greatly enhanced over the existing solutions relying on the track-side facilities.Considering the safety critical features of the railway signaling applications,the GNSS stand-alone mode may not be sufficient to satisfy the practical requirements.In this paper,the key technologies for applying GNSS in novel train-centric railway signaling systems are investigated,including the multi-sensor data fusion,Virtual Balise(VB)capturing and messaging,train integrity monitoring and system performance evaluation.According to the practical characteristics of the novel train control system under the moving block mode,the details of the key technologies are introduced.Field demonstration results of a novel train control system using the presented technologies under the practical railway operation conditions are presented to illustrate the achievable performance feature of autonomous train state perception using BeiDou Navigation Satellite System(BDS)and related solutions.It reveals the great potentials of these key technologies in the next generation train control system and other GNSS-based railway implementations.
基金This research was jointly supported by the National Natural Science Foundation of China[Grant 62203468]the Young Elite Scientist Sponsorship Program by China Association for Science and Technology(CAST)[Grant 2022QNRC001]+1 种基金the Technological Research and Development Program of China Railway Corporation Limited[Grant K2021X001]by the Foundation of China Academy of Railway Sciences Corporation Limited[Grant 2021YJ043].On behalf all authors,the corresponding author states that there is no conflict of interest.
文摘Purpose–This paper aims to propose a train timetable rescheduling(TTR)approach from the perspective of multi-train tracking optimization based on the mutual spatiotemporal information in the high-speed railway signaling system.Design/methodology/approach–Firstly,a single-train trajectory optimization(STTO)model is constructed based on train dynamics and operating conditions.The train kinematics parameters,including acceleration,speed and time at each position,are calculated to predict the arrival times in the train timetable.A STTO algorithm is developed to optimize a single-train time-efficient driving strategy.Then,a TTR approach based on multi-train tracking optimization(TTR-MTTO)is proposed with mutual information.The constraints of temporary speed restriction(TSR)and end of authority are decoupled to calculate the tracking trajectory of the backward tracking train.The multi-train trajectories at each position are optimized to generate a timeefficient train timetable.Findings–The numerical experiment is performed on the Beijing-Tianjin high-speed railway line and CR400AF.The STTO algorithm predicts the train’s planned arrival time to calculate the total train delay(TTD).As for the TSR scenario,the proposed TTR-MTTO can reduce TTD by 60.60%compared with the traditional TTR approach with dispatchers’experience.Moreover,TTR-MTTO can optimize a time-efficient train timetable to help dispatchers reschedule trains more reasonably.Originality/value–With the cooperative relationship and mutual information between train rescheduling and control,the proposed TTR-MTTO approach can automatically generate a time-efficient train timetable to reduce the total train delay and the work intensity of dispatchers.
文摘针对高速列车速度跟踪控制过程中系统易受内外部扰动的影响,导致控制精度低的问题,设计一种基于分数阶积分滑模的高速列车速度跟踪自抗扰控制(Active Disturbance Rejection Control,ADRC)方案.该方案对ADRC中的线性扩张状态观测器(Linear Extended State Observer,LESO)和非线性误差反馈控制律分别进行改进.首先,在LESO设计中,引入总扰动微分状态变量,提高观测器扰动观测能力;其次,采用分数阶积分滑模控制(Fractional Order Integral Sliding Mode Control,FOISMC)改进非线性误差反馈控制律,削弱滑模控制抖振的同时提高系统跟踪精度;最后,设计复合分数阶积分滑模自抗扰控制方案,以CRH3型列车参数进行期望速度曲线仿真跟踪,验证控制方案的跟踪性能,并将该控制方案与其他传统控制方案进行比较分析.研究结果表明:在相同条件和相同外加扰动作用下,所提控制方案较其他控制方案跟踪精度更高,抗干扰能力更强,速度追踪最大误差为0.00005 m/s.
