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Articles 3451 - 3480 of 3895
Full-Text Articles in Systems Science
Broadband 2-D Doa Estimation Based On Continuous Sparse Recovery, Chenxi Wu, Zhang Min, Keren Wang
Broadband 2-D Doa Estimation Based On Continuous Sparse Recovery, Chenxi Wu, Zhang Min, Keren Wang
Journal of System Simulation
Abstract: For the problem of two dimensional underdetermined direction of arrival (2-D DOA) estimation, three parallel sparse arrays are designed and a novel DOA method based on continuous sparse recovery is proposed. The dimension of received data is reduced and the cross covariance matrix is vectorized to improve freedom degree. According to the objection function of the minimization issue based on total variation norm constraint, the space frequency is achieved by solving corresponding dual problem. The center frequency, azimuth and pitch angles are paired by capon method. Theoretical analysis shows the proposed method has a higher array aperture extension and …
Current Sensor Fault Diagnosis For Induction Motor In Vector Control System, Sun Kai, Baina He, Sarah Odofin, Gu Yu
Current Sensor Fault Diagnosis For Induction Motor In Vector Control System, Sun Kai, Baina He, Sarah Odofin, Gu Yu
Journal of System Simulation
Abstract: A current sensor fault diagnosis method of induction motor in vector control system is proposed. A state-space form including sensor faults and environmental disturbances/noises of induction machine is described. An augmented observer is designed to simultaneously estimate system states, and current sensor faults. To attenuate the effects from the environmental disturbances/noises, a genetic algorithm is employed to design observer gain by minimizing the estimation error against environmental disturbances and noises. A simulation model based on Matlab and real-data of the induction motor collected by experiment is utilized to validate the proposed methods, which show the efficiency of the proposed …
Heat Transfer Simulation Of Vehicle Heat Exchanger In Plateau Environment, Xu Xiang, Wenchao Suo, Dingfu Yang, Surong Dong
Heat Transfer Simulation Of Vehicle Heat Exchanger In Plateau Environment, Xu Xiang, Wenchao Suo, Dingfu Yang, Surong Dong
Journal of System Simulation
Abstract: The effect of heat transfer caused by plateau environment in vehicle heat exchanger was investigated. The heat transfer equation for heat exchanger was modified by introducing air parameters at different altitudes. A heat transfer modeling approach for vehicle heat exchanger was proposed by using the thermal network method. The heat transfer effect of the plateau and the flow state of fluid medium were analyzed in the vehicle heat exchanger by using the simulation software FlowMaster. Simulation results show that the decrease of pressure and density of air in altitude was the primary cause to heat transfer ability. …
Simulation On Anti-Swing Of Container Cranes Based On Iterative Learning Control, Liang Gang, Yiming Zhao, Hengming Qin
Simulation On Anti-Swing Of Container Cranes Based On Iterative Learning Control, Liang Gang, Yiming Zhao, Hengming Qin
Journal of System Simulation
Abstract: To achieve the purpose of reducing or even eliminating the fixed stop container’s swinging after container cranes positioning, thereby improving the efficiency of quayside container cranes, the PD-type iterative learning control is selected to perform simulation analysis. This selection is based on the analysis of dynamic properties of quayside container lifting systems and the qualities of the repetitive nature of the swing phase of the container. A fixed initial state is assumed, and the PD parameters are determined after several debugging tasks. Based on Simulink blocks, the entire iterative learning controller model is established to design lifting systems of …
Effect Of Rail Fracture On Train Shunt-Circuit Current Envelope, Youpeng Zhang, Zhao Jian, Bin Zhao
Effect Of Rail Fracture On Train Shunt-Circuit Current Envelope, Youpeng Zhang, Zhao Jian, Bin Zhao
Journal of System Simulation
Abstract: To analyze change rules of train shunt-circuit current amplitude envelope under the track circuit crack state, a distributed parameter equivalent mathematic model of ZPW-2000A track circuit crack state was constructed based on the transmission theory; and the effect of ballast resistances, the crack points and the crack equivalent impedances on train shunt-circuit currents amplitude envelope were studied using MATLAB. Experiment results show that the ballast resistance, the crack point and the crack equivalent impedance have great influence on train shunt-circuit current amplitude envelope before crack point; and the train shunt-circuit current amplitude envelope occurs discontinuity at the crack …
Bi-Directional Dc-Dc Converter For Battery Energy Storage, Kun Xia, Xinwei Hong, Yuan Yin, Anghui Chen
Bi-Directional Dc-Dc Converter For Battery Energy Storage, Kun Xia, Xinwei Hong, Yuan Yin, Anghui Chen
Journal of System Simulation
Abstract: A topology of non-isolated bi-directional DC-DC converter is proposed. The converter adopts the synchronous rectifier half bridge buck-boost circuit as the foundation using the voltage and current double closed-loop control method to achieve the function of the lithium batteries charging and discharging. The working principles of the DC-DC converter are analyzed under the charging mode, discharging mode and parallel supply mode. The simulation model for the converter circuit is established in Matlab/Simulink circumstance and the system experiment is built. The simulation and experiment verifies the feasibility and the reliability of the converter. The simulation results show that …
Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen
Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen
Journal of System Simulation
Abstract: A method of scenario computing is developed for modeling systems with deep uncertainty. The method consists three complementary parts: hybrid modelling, diverse computing, and interactive validation. Hybrid modelling is to dynamically develop models with merging historical knowledges and observed information. Diversity computation is to simulate multiple plausible scenarios about system future. Interactive validation helps scenario computing process being on the right way instead of deviating. Two cases are provided in this paper applying scenario computing, one is earthquake and the other is driving and transportation. The results show good performance of scenario computing method in modeling uncertainty systems.
Mathematical Modeling And Simulation Of Hydraulic Gauge Control System, Weigang Li, Guilin Tao
Mathematical Modeling And Simulation Of Hydraulic Gauge Control System, Weigang Li, Guilin Tao
Journal of System Simulation
Abstract: On the basis of hydraulic valve control cylinder model and combining with the structure and load characteristics of the hydraulic gauge control system (HGC), a “flow linearization” model for HGC was presented and the shortcomings of the model in analyzing the dynamic characteristics of HGC were pointed out. In view of the characteristics of the large load variation range of HGC and according to the principle of “load compensation”, the flow correction coefficient and the related transfer function were analyzed and deduced, and the mathematical model of HGC based on “load compensation” was established. Combined with a practical …
Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power, Xiaohong Zhang, Yanli Qi
Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power, Xiaohong Zhang, Yanli Qi
Journal of System Simulation
Abstract: The simplest chaotic circuit contains only three circuit elements: a linear passive inductor, a linear passive capacitor and a nonlinear active memristor. In the design of memristors, power of memristance function polynomial with integral exponents is commonly used. On this basis, a general memristor is designed, of which the memristance function polynomial uses power with real exponents, a simple chaotic system is constructed based on the designed memristor. The influence of integral exponents, real exponents and linear parameters on dynamic behaviors is investigated, and chaotic behaviors are analyzed qualitatively using Lyapunov exponents. The Matlab and Multisim simulation results show …
Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System, Li Bing, Wang Xing, Xuan Hua, Xueyuan Wang
Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System, Li Bing, Wang Xing, Xuan Hua, Xueyuan Wang
Journal of System Simulation
Abstract: The highly reliable equipment operation and maintenance system is very important to enterprise’s safety production. The control system for equipment operation and maintenance with a parts inventory system is generally discussed. The proposed system is composed of a parts inventory subsystem, an equipment operation subsystem and an equipment maintenance subsystem as parallel and series form. And the control system belongs to a multi-level closed loop system. The system is a kind of discrete event dynamic system. So it is difficult to be described with traditional mathematical analysis methods. The multi-class closed control system simulation model is established with Simulink …
Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao
Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao
Journal of System Simulation
Abstract: In order to obtain high quality material simulation data from Density Functional Theory material calculation software package, a modeling method based on BP neural network was proposed to build model estimating the error of material simulation data. A novel hybrid algorithm combining simple particle swarm optimization algorithm that excludes speed item with BP algorithm, also referred to tsPSO-BP, was proposed to optimize the connection weights of the BP neural network. The hybrid learning algorithm not only makes use of strong global searching ability of the PSO, but also strong local searching ability of the BP algorithm. The BP …
Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration, Xiaozhe Sun, Zongji Chen, Yongliang Gu
Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration, Xiaozhe Sun, Zongji Chen, Yongliang Gu
Journal of System Simulation
Abstract: The fault-tolerant Fly-By-Wire flight control systems of four advanced aircrafts of Boeing and Airbus series (B777, B787, A340 and A380) were analyzed and compared. The disadvantages needed to be improved were explored in terms of software reliability and system reconfiguration of Boeing and Airbus Fly-By-Wire flight control systems. A novel redundant fault-tolerant flight control computer (FCC) system was presented. The proposed FCC scheme was qualitatively and quantitatively compared with redundant FCC of Boeing and Airbus. The three schemes' reliability was modelled and evaluated through the hierarchical hybrid modelling method. The conclusions are obtained as follows: the proposed …
Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang
Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang
Journal of System Simulation
Abstract: For better simulated study of pilot’s accident avoidance ability and pilot induced oscillation (PIO) characteristic of a man-aircraft close loop system, a method of “physiology-psychology-physiology” is presented to divide pilot models into three parts of input(signal), processing(decision making) and output(action), and a new multi-dimension proportion-differential nonlinear pilot model (MPDNLPM) is presented also. Simulated study is performed by simulated control of an aircraft pitch control model under backside tracking status for carrier landing. Conclusion: 1) The control performance of the man-aircraft system is slightly better than an ideal proportional control. 2) PIO is possible for well-trained pilot. 3) Proper anticipation, …
Simulation Research On Predictive Wavelet Neural Network Intelligent Control System, Jingwei Liu, Zhou Rui, Zhao Hui, Minling Zhu, Xianghua Meng, Yuhao Zhang
Simulation Research On Predictive Wavelet Neural Network Intelligent Control System, Jingwei Liu, Zhou Rui, Zhao Hui, Minling Zhu, Xianghua Meng, Yuhao Zhang
Journal of System Simulation
Abstract: In order to realize control parameters online tuning and optimizing applications in the high risk and high pollution environment, vector time series prediction based intelligent control methods are proposed, which are combined autoregressive moving average vector time series predictive method and wavelet neural network method. Based on theoretical and comparative research: feasibility, stability, better dynamic characteristics, less steady-state error of the proposed methods are verified. A comparative simulation platform for the above intelligent control system is provided. Stability guarantee method of the above new methods is given.
Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song
Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song
Journal of System Simulation
Abstract: A hybrid decoding algorithm for low-density parity-check (LDPC) codes based on the soft-decision iterative decoding method and the erasure decoding method is proposed. If a decoding error is detected when the maximum iteration number of the soft-decision iterative decoding is reached, a decision is made on each bit whether it is zero or one or an erasure according to the cumulative reliability of the bit in the iterative process. Then the decision result is decoded with erasure decoding. Simulation results on random LDPC codes with moderate length indicate that the proposed hybrid decoding algorithm outperforms the traditional soft-decision iterative …
Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network, Zhiping Zhou, Xiaoxiao Zhao, Nannan Shao
Trust Evaluation Model Based On Fuzzy Set And D-S Evidence Theory In Wireless Sensor Network, Zhiping Zhou, Xiaoxiao Zhao, Nannan Shao
Journal of System Simulation
Abstract: A trust evaluation model based on fuzzy set and D-S evidence in wireless sensor network is proposed. Considering security requirements and energy consumption, three typical trust factors are defined to calculate node’s direct trust which is for fuzzy classification by using fuzzy set theory. Fuzzy membership function is the basic belief function of the D-S evidence theory. Indirect trust is obtained from neighbor nodes’ recommendations, the direct trust and indirect trust are fused according to Dempster combination rule after being amended with weight. The effective combination of identity-based cryptosystem and the trust management mechanism improve the security …
Forestry Felling & Cultivation Machine Virtual Training System Based On Unity3d, Bowen Cheng, Yili Zheng, Qingqing Huang, Jinhao Liu
Forestry Felling & Cultivation Machine Virtual Training System Based On Unity3d, Bowen Cheng, Yili Zheng, Qingqing Huang, Jinhao Liu
Journal of System Simulation
Abstract: A forestry felling & cultivation machine virtual training system based on Unity3D was developed. The models of forestry felling & cultivation machine were built up using 3dsMAX with the assistance of SolidWorks based on a forestry felling & cultivation machine. The models of forestry felling & cultivation machine and trees were imported into Unity3D to create a virtual operating environment. Each part of forestry felling & cultivation machine needs to be processed for the establishment of paternity in accordance with the simulation, the corresponding mathematical model was established to simulate the motion of the manipulator based on the analysis …
Elevator Traffic Pattern Recognition With Fcm Clustering Based Fuzzy Neural Network, Zhenshan Yang, Wenjiao Yue
Elevator Traffic Pattern Recognition With Fcm Clustering Based Fuzzy Neural Network, Zhenshan Yang, Wenjiao Yue
Journal of System Simulation
Abstract: Elevator traffic demand pattern recognition is the prerequisite for effectively implementing the strategies of elevator group control system. In view of the characteristics of time-varying, nonlinear and uncertainty of elevator traffic demand, an elevator traffic pattern recognition method with FCM (Fuzzy C-means) clustering based fuzzy neural network is presented. The method introduces the fuzzy logic into the calculation and learning of BP neural network, and employs FCM clustering algorithm to cluster the original traffic demand to realize the fuzzy partition of the input space of fuzzy system to determine the initial value of network membership function and clustering center …
Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song
Parallel Pattern Recognition Of Leak Current Data Using Spark-Knn, Li Li, Yongli Zhu, Yaqi Song
Journal of System Simulation
Abstract: With the rapid development of smart grid, the status monitoring data of power grid equipment increase exponentially and gradually form the big data. Traditional computing architectures are no longer to meet the demand of computing performance. This paper explores how Spark and Cloud computing can accelerate performance of missive insulator leak current data pattern recognition. The Parallel KNN (k-Nearest Neighbor) algorithm is designed and implemented by using Spark and Aliyun E-MapReduce cloud computing platform. The results from experiments show that the performance of Spark-KNN is 2.97 times of MapReduce-KNN and gains acceleration of 8.8 times. The experimental results confirm …
Application Of Multiple-Stepwise And Kalman Filtering In Haze Forecast, Yunhao Xian, Hengde Zhang, Yonghua Xie, Le Yang
Application Of Multiple-Stepwise And Kalman Filtering In Haze Forecast, Yunhao Xian, Hengde Zhang, Yonghua Xie, Le Yang
Journal of System Simulation
Abstract: Considering the importance of objective haze forecast and the low accuracy rate of haze forecast, a new haze objective forecast correction method based on the multiple stepwise regression algorithms and the Kalman filtering algorithm is proposed. The multiple stepwise regression method is used to control the physical factor of the dependent variable, and the visibility forecast equation is established. The Kalman filtering method is adopted to correct the regression coefficient in multivariate stepwise regression algorithm according to the actual data, and the haze objective forecast correction model is established. The experiments are carried out in Beijing, Guangzhou, Nanjing and …
Optimal Operation Of Grid-Connected Microgrid Based On Abc Algorithm, Qiuli Cui
Optimal Operation Of Grid-Connected Microgrid Based On Abc Algorithm, Qiuli Cui
Journal of System Simulation
Abstract: An optimal scheduling model of grid-connected microgrid composed of wind power generators, photovoltaic cells, fuel cells and batteries is established. The economy and environmental protection elements are considered in this model. To maximize the role of peak shaving and valley filling in microgrid system, based on the time-of-use price mechanism, the heuristic rules combined with peak shaving and valley filling is used to design a grid-connected energy scheduling strategy. By monitoring the net load state and the price time interval, and adjusting the particular state of the micro source of power, the system optimal energy scheduling state is obtained. …
Stress Distribution Formula Of Threads Casing Joint Under Symmetrical Load, Tong Hua, Xiaohong Tang, Xiaohua Zhu, He Huan, Haoran Tao
Stress Distribution Formula Of Threads Casing Joint Under Symmetrical Load, Tong Hua, Xiaohong Tang, Xiaohua Zhu, He Huan, Haoran Tao
Journal of System Simulation
Abstract: While itis difficult tomeasure thestress distribution of casing threads underground without calculation by finite element method. Here assumes a deformation compatibility factor Ux, use an initial calculation to represent the thread stress, f(x)=f0Ux, and applythe ABAQUS finite element software to calculate the stress distribution of the threads under different symmetrical loads. Obtain the expressions of Ux by curve fitting, and get the threads stress calculation formula to provide an intuitive, fast and accurate method of calculation for the site. Providea theoretical reference for development and manufacture of casing …
Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems, Hongtao Liang, Fengju Kang, Yanfang Fu
Overview Of Multi-Agents Modeling And Simulation For Underwater Unmanned Combat Systems, Hongtao Liang, Fengju Kang, Yanfang Fu
Journal of System Simulation
Abstract: Military UUV is developing toward the direction of intellectualization and coordination of multi-UUV system. It is composed of complex underwater unmanned system (UUS) with changeable underwater environment and complex combat mission. Multi-agents (MAS) modeling technology has become the mainstream method to study this kind of complex system. The development and characteristics of UUS are briefly and comprehensively reviewed. The latest developments of MAS theory are systematically summarized, and MAS modeling and simulation technology for multi-UUV cooperative combat system (MUCCS) are analyzed. A novel MAS theory method, that is immune agent interactive network (IAIN), is proposed, which combines the modeling …
Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang
Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang
Journal of System Simulation
Abstract: In the classical target recognition theory, many neurons in the mammalian retina and LGN perform DoG operations. Their functions are generally considered to be whitening, eliminating redundancy, and enhancing edges. Where is the redundant information? In this paper, the electrophysiological study of the ON-OFF neurons of the dove optic roof was performed. It was found that the FSL was used to carry out the rough and fast transfer of the whole scene information, and then the salient features in the scene were successively transmitted using the issue rate. For this reason, by analyzing the response pattern of neurons, this …
Numerical Simulation Of Borehole Stability In Underbalanced Drilling Coal Seam, Yumei Li, Su Zhong, Zhang Tao, Delong Zhang, Liwei Yu, Si Na
Numerical Simulation Of Borehole Stability In Underbalanced Drilling Coal Seam, Yumei Li, Su Zhong, Zhang Tao, Delong Zhang, Liwei Yu, Si Na
Journal of System Simulation
Abstract: According to the formation parameters of No.3 coal seam in the Qinshui Basin, Shanxi Province, considering the interaction between seepage and deformation in the borehole wall of coal seam, using the finite element method for establishing the stable elastoplastic numerical model of the borehole in coal seam,the variation of pore pressure near the wellbore wall with the seepage time and the effect of time delay on wellbore stability under underbalanced drilling condition were studied. The variation law of maximum displacement and maximum plastic deformation around borehole wall with bottom pressure were analyzed. The simulation results show that there …
Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm, Mengqiu Wang, Wang Yan, Zhicheng Ji
Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm, Mengqiu Wang, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: Since the multi-parameter identification of permanent magnet synchronous motor (PMSM) has slow speed and low accuracy, a parameter identification method based on the improved salp swarm algorithm was proposed in this paper. The algorithm firstly adopted the self-adaptive evaluation-move strategy and neighborhood optimum guide strategy based Von Neumann topology to update the position of followers twice, which strengthened information cooperation in the population and accelerated the convergence rate of parameter identification. Secondly, the algorithm used the opposition-based learning strategy to perturb the population position with a certain mutation probability, that avoided local optimum and misconvergence of the parameters. The …
Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao
Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao
Journal of System Simulation
Abstract: The assignment rules are presented by researching system data information with a large Chinese medicine pharmacy sorting system as an object. Based on simulation technology, the system model is presented; the system operation time, cost, efficiency, and assigned laws and human resources configuration as well as many other factors affecting the performance of the system are analyzed. Based on the analysis of the original system, three optimization schemes are designed and compared. The simulation results show that, during the same simulation period, the reallocation of human resources can reduce the economic cost, but it has little improvement on …
Improvement Of Grey Target Algorithm And Its Application In Assessment Of Marine Gas Turbine, Tongqing Wang, Mei Shan, Xiaobo Li, Jiajie Liu
Improvement Of Grey Target Algorithm And Its Application In Assessment Of Marine Gas Turbine, Tongqing Wang, Mei Shan, Xiaobo Li, Jiajie Liu
Journal of System Simulation
Abstract: In the modern shipbuilding industry, gas turbines are increasingly becoming the main power supply devices for ships with their good overall performance. The assessment of their overall performance is very important in the development and introduction of gas turbines. By using the grey target theory, a comprehensive gas turbine performance evaluation model is constructed and the grey target method can easily deal with the evaluation problem which has the characteristics of "small amount of data, lean information, and uncertainty". By discussing the influence of distinguishing coefficient in the algorithm, a method for determining the value of the distinguishing coefficient …
Impact Of Attractiveness And Influence Of Information On Cascade Size Distribution, Dong Jian, Bin Chen, Liu Liang, Chuan Ai, Zhang Fang, Xiaogang Qiu
Impact Of Attractiveness And Influence Of Information On Cascade Size Distribution, Dong Jian, Bin Chen, Liu Liang, Chuan Ai, Zhang Fang, Xiaogang Qiu
Journal of System Simulation
Abstract: The distribution of the cascade size can capture the distribution of popularity of a social network. Numerous studies have shown that the cascade size distribution follows fat-tail distributions, including power-law distribution and bimodal distribution; The underlying characteristic of this highly skewed distribution lacks quantitative experimental analysis. Based on the heterogeneous stochastic information dissemination model, namely the SVRF model, this paper examines the impact of the information attractiveness and influence on the cascade size distribution through lots of computational experiments. We find that when the mean value of the information influence and attractiveness is small, the cascade sizes follow …
Simulation Analyzing For Drawing Up Methodology Of Cooperative Train Working Diagram And Route Allocation Plan, Zhou Yan
Journal of System Simulation
Abstract: The quality of the train diagram directly affects the efficiency of the transport operation and management. Though the inadequacies of computer drawing train working diagram were reviewed, an integrated drawing up methodology of train diagram and train route allocation plan was put forward to optimize the allocation of resources, based on the interaction relationship of train diagram and train route allocation plan. On that basis, the overall state transition adjustment algorithm, which consists of the “full timetable” result and collaborative model route allocation plan, was also proposed. Finally, the prototype system framework based on .NET was described, and the …