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2019

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Articles 1021 - 1050 of 1263

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Evaluation Of Simulation Credibility Based On Rough Set And Gray Correlation Analysis, Huibo Liu, Yongjie Qian Jan 2019

Evaluation Of Simulation Credibility Based On Rough Set And Gray Correlation Analysis, Huibo Liu, Yongjie Qian

Journal of System Simulation

Abstract: The evaluation of simulation model credibility has always been a hot issue in the simulation field. How to evaluate the credibility of the simulation is the key to the development of the simulation technology. It is of great significance for our country to carry out the credibility evaluation research. In view of the issue, the grey correlation analysis theory and the related principles in rough set theory are analyzed and the simulation credibility evaluation model based on rough set and grey correlation analysis is proposed. The indiscernibility principle in rough set is used to assign the weight distribution of …

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Simulation Of Mosaic Picture Based On Compact Distribution Synthesis Of Element, Chen Jie, Yang Gang, Yang Meng Jan 2019

Simulation Of Mosaic Picture Based On Compact Distribution Synthesis Of Element, Chen Jie, Yang Gang, Yang Meng

Journal of System Simulation

Abstract: A new method that can rapidly synthesize the compact distribution of diverse types of elements is proposed to realize the simulation of mosaic. The Voronoi diagram is adoptedto segment the distribution region, and each part represents a space occupied by a graphic element to realize the compact distribution of graphic elements. In the process of generating Voronoi diagram, five different distance metrics are used to control the shape of the Voronoi polygon for achieving the compact distribution of the five different shapes. The method can generate graphic element distribution with scale and direction variations so as to simulate the …

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Fault Detection Based On Gpnmf For Industrial Process, Yuguang Niu, Shilin Wang, Zhongwei Lin, Xiaoming Li Jan 2019

Fault Detection Based On Gpnmf For Industrial Process, Yuguang Niu, Shilin Wang, Zhongwei Lin, Xiaoming Li

Journal of System Simulation

Abstract: As a newly dimension reduction technique, non-negative matrix factorization (NMF) has been applied in varying research areas. NMF methods require the original data non-negative. However, the operating data of industrial process maybe not satisfy this restriction. To resolve the problem, a new method is presented, which can be called as generalized projection non-negative matrix factorization (GPNMF). We use GPNMF to extract the latent variables that drive a process and to combine them with process monitoring techniques for fault detection. The corresponding contribution plots are defined for fault isolation. The proposed method is applied to a 1 000 MW unit …

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Impact Of Rumor Spreading In A ‘Small World’ Social Network On Pricing Decision, Li Feng, Wei Ying Jan 2019

Impact Of Rumor Spreading In A ‘Small World’ Social Network On Pricing Decision, Li Feng, Wei Ying

Journal of System Simulation

Abstract: This paper adopts methodology of multi-agent based modeling to represent rumor spreading on small-world social network and to address impacts of rumor on pricing decision and profit of supplier. In the model, the process of rumor diffusion follows well-accepted ‘Susceptible-Infective-Removal’ (SIR) model. Simulation proved that mathematic analysis of SIR model overestimated the results of rumor diffusion while PageRank algorithm is a more ‘efficient’ method to choose the source node for rumor propagation according to all four proposed indicators. Sensitivity analysis of two parameters in SIR model, spreading rate and ignoring rate, indicates that the loss of profit will be …

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Dynamic Suppression Method For Commutation Torque Ripple Of Brushless Dc Motors, Kun Xia, Tan Yuan, Bin Dong, Lu Jing Jan 2019

Dynamic Suppression Method For Commutation Torque Ripple Of Brushless Dc Motors, Kun Xia, Tan Yuan, Bin Dong, Lu Jing

Journal of System Simulation

Abstract: A dynamic suppression method for commutation torque ripple by employing a quasi-Z-source network was proposed, which reduced the torque ripple dynamically during the speed adjustment process in brushless DC motors (BLDCM). The phase resistance was taken into consideration and the mathematics model for the system was established. To suppress the commutation torque ripples timely and effectively, Uup and tup needed to be adjusted dynamically through the quasi-Z-source network while the speed and load changed. A simulation model to dynamically suppress the commutation torque ripple in BLDCM based on quasi-Z-source network was established by MATLAB/Simulink, and the feasibility …

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Simulation Of Surge And Stall For Aero Engine Compressor Based On Entropy, Pi Jun, Yongchao Qiu, Zhiwei Hu, Wu Wei Jan 2019

Simulation Of Surge And Stall For Aero Engine Compressor Based On Entropy, Pi Jun, Yongchao Qiu, Zhiwei Hu, Wu Wei

Journal of System Simulation

Abstract: The mature model NASA Rotor37 is used to simulate the transition of the compressor’s operation from the steady state to the non-steady state of stall and surge using the simulation software CFX. The transition is analyzed and researched based on the theory of thermodynamics entropy and sample entropy to provide a basis for the fault diagnosis of stall and surge. The two thermodynamic entropy parameters of average specific entropy value and the isentropic efficiency are found by the analysis changing abnormally in the event of stall. The values of the sample entropy obtained by calculation using the static …

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Simulation Of Migration Of Hexavalent Chromium In Groundwater, Liu Ling, Liping Xiao, Xilin Li Jan 2019

Simulation Of Migration Of Hexavalent Chromium In Groundwater, Liu Ling, Liping Xiao, Xilin Li

Journal of System Simulation

Abstract: Taking chromite ore processing residue site in Shenyang city of Liaoning province as a research object, the static adsorption experiment and the dynamic soil column experiment were carried out, and the adsorption characteristics and the migration law for hexavalent chromium of chromite ore processing residue leachate were analyzed in the groundwater system. A coupled dynamic mathematical model was developed for simulating hexavalent chromium migration in the groundwater system. Numerical simulation of hexavalent chromium migration in groundwater for 40 years before the anti-seepage measure and for 60 years after the anti-seepage measure was completed by using Visual Modflow software. The …

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Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang Jan 2019

Time-Frequency Analysis Of Partial Discharge Signal Based On Vmd And Wigner-Ville Distribution, Yafei Jia, Yongli Zhu, Liuwang Wang

Journal of System Simulation

Abstract: To effectively analyze the time-frequency characteristics of partial discharge signals of high voltage electrical equipment, a novel time-frequency analysis method based on variational mode decomposition (VMD) and Wigner-Ville distribution (VMD-WVD) was proposed, which effectively solves the problem of cross term interference in the Wigner-Ville distribution method. The known partial discharge signals were decomposed by VMD and the mode components were extracted. These Wigner-Ville distributions of mode components were computed and the Wigner-Ville of each component signal was added linearly to reconstruct the Wigner-Ville of the original signal. The proposed method was applied to analyze simulation signals and measured partial …

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Dynamic Characteristics Research Of Torsional Vibration Generator, Jialin Tian, Du Fan, Yonghao Zhu, Chuanhong Fu Jan 2019

Dynamic Characteristics Research Of Torsional Vibration Generator, Jialin Tian, Du Fan, Yonghao Zhu, Chuanhong Fu

Journal of System Simulation

Abstract: Aiming at poor drill ability and low rate of penetration during the drilling process, a torsional vibration generator is presented. The structure and the operational principle of the torsional vibration generator are analyzed according to the torsional theory. The relationships among the collision frequency,the amount of hydraulic hammer compression, the torque, the inlet pressure, and inlet flow are obtained on the basis of its dynamic model, which is established in light of the actual working condition. Compared with the example calculation, the experimental test verifies the accuracy and reliability of calculation method. The research results show that when the …

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Adaptive Stochastic Resonance Weak Signal Detection, Hongyan Xing, Chunxia Lu, Zhang Qiang Jan 2019

Adaptive Stochastic Resonance Weak Signal Detection, Hongyan Xing, Chunxia Lu, Zhang Qiang

Journal of System Simulation

Abstract: As traditional stochastic resonance methodhas low accuracy problem for weak signal detection,a new adaptive stochastic resonanceweak signal detection method based on global artificial fish swarm algorithm (GAFSA) is proposed, in which the global artificial fish swarm algorithm is combined with stochastic resonance. The output signal-to-noise ratio gain of stochastic resonance system is used as fitness function of the global artificial fish swarm algorithm, and the weak signal detection problem is transformed into multi-parameter parallel optimization problem, which formsan adaptive system to detect weak feature signal. The simulation experiments and the comparisons of optimization results are carried …

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Health Warning And Fault Diagnosisof Pulverizing System Based On Syncretic Similarity, Songming Jiao Jan 2019

Health Warning And Fault Diagnosisof Pulverizing System Based On Syncretic Similarity, Songming Jiao

Journal of System Simulation

Abstract: It is an arduous task to know health statusof a pulverizing system in power plant by monitoring these parameters simultaneously and the fault diagnosing process is complicated.An approach based on syncretic similarity is presented which is suitable for industrial system’s health warning and fault diagnosis.The syncretic similarity couples anew type of weighted mahalanobis distance based on principal component analysiswith an improved weighted sine similarity. The approachhas self-learning ability.Central parameterswhich are used to compute similarity can be modified along with the operation process.Simulation resultsshow that the method is suitable for online application because of its high accuracy, fast …

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Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao Jan 2019

Improved Cpls Algorithm And Its Application In Process Monitoring, Qinghua Li, Pan Feng, Zhonggai Zhao

Journal of System Simulation

Abstract: Concurrent PLS (CPLS) further extracts information from the residuals of input variables and quality variables drawn by PLS, thus the raw data are projected into five subspaces. The process monitoring based CPLS provides a whole framework for the monitoring of input variables and quality variables. The model for residuals is developed by a deterministic manner while the residuals are inherently stochastic; therefore a probabilistic model is more proper for describing their features. This paper introduces factor analysis (FA) into CPLS, in which FA instead of PCA is used to analyze the residuals to develop the improved CPLS model, and …

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Optimal Economic Dispatch Of Microgrid Based On Immune Particle Swarm Optimization Algorithm, Gao Cong, Dinghui Wu, Tinglong Pan, Zhicheng Ji Jan 2019

Optimal Economic Dispatch Of Microgrid Based On Immune Particle Swarm Optimization Algorithm, Gao Cong, Dinghui Wu, Tinglong Pan, Zhicheng Ji

Journal of System Simulation

Abstract: Some restrictions are accompanied when solving the optimal economic dispatch of microgrid, such as multi-constraints, discontinuities and multi-generators. An immune particle swarm optimization (IMPSO) algorithm is proposed, which introduces the artificial immune system into particle swarm optimization (PSO) algorithm and can ensure the PSO convergence as well as exerting the immune mechanism to make the particles uniformly distributed in solution plane. The algorithm possesses the virtues like global probe and robustness and is used to solve two operating modes of island and grid- connected in microgrid respectively. The experimental results show that the IMPSO provides a feasible and advanced …

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Modeling And Control Of Networked Control Systems With Partitioned Random Delay, Yicai Liu, Bin Liu, Anwei Shi Jan 2019

Modeling And Control Of Networked Control Systems With Partitioned Random Delay, Yicai Liu, Bin Liu, Anwei Shi

Journal of System Simulation

Abstract: As for a class of networked control systems which have the bilateral random delay of sensor-to- controller and controller-to-actuator, the networked control systems were modeled as discrete-time jump systems with uncertain parameters by firstly partitioning the maximum possible delay value into a plurality of equal intervals, and then describing it as a stochastic process of a finite state Markov chain according to the jump characteristics of the delay in each interval. Considering the condition that the elements of the transition probability matrix of the Markov chain were partly unknown, the time-varying controller meeting the requirement of system stability was …

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Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao Jan 2019

Pmlsm Without Position Sensing Control Of Double Forgettingkalman Filter, Zhu Jun, Xiangjun Li, Rongbing Fu, Yuhang Wu, Tian Miao

Journal of System Simulation

Abstract: UsingextendedKalmanfilter (EKF) to estimate the position of permanent magnet linear synchronous motor(PMLSM), the model is not accurate, the noise properties areuncertain,and may lead to the problem of filtering divergence.Adouble forgetting Kalman filter (DFKF) method was proposed. Adaptive fading factor on the basisof EKF was introduced to achieve the first forgetting,andthe Sage-Husa adaptive filter algorithm was introduced to realize the second forgetting. The experiments show that DFKF diminishesaccording to the law of sineregardless synchronous speed change or load mutation;the stable error is 0.469% or 0.943% before or after the load mutation; the final error stabilizes near 0.167%;the …

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Optimization Of Scheduling Rule Of Unidirectional Material Handling System With Short-Cut, Juntao Li, Kun Xia, Kise Hiroshi Jan 2019

Optimization Of Scheduling Rule Of Unidirectional Material Handling System With Short-Cut, Juntao Li, Kun Xia, Kise Hiroshi

Journal of System Simulation

Abstract: To decrease the interference and improve the performance of a unidirectional circulation-type material handling system on a single loop with a shortcut, the interference and scheduling problem between AGVs are studied. According to the actual situation of material handling system, the interferences of two scheduling rules (random rule and order rule) are analyzed. An optimal scheduling rule under the interference case—exchange order rule is proposed. Different scheduling rules have an influence on the interference between AGVs and then have an important effect on the efficiency of the whole system. Experiment results show that the exchange order (E-Order) rule …

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Information Density Based Bayes Algorithm For Cloud Platform Intrusion Detection, Du Ye, Tiantian Zhang, Meihong Li Jan 2019

Information Density Based Bayes Algorithm For Cloud Platform Intrusion Detection, Du Ye, Tiantian Zhang, Meihong Li

Journal of System Simulation

Abstract: For getting better data classification results of cloud platform intrusion detection, and improving the detection accuracy and performance, a Bayes algorithm based on information density was proposed. The complete probability of data characteristics was constructed, and the uncertainty of information was represented by information entropy. The information density was defined to describe the distribution of information uncertainty. The improved algorithm was introduced, and the convergence and time complexity were analyzed. The simulation experiment results show that the method can effectively reduce the data loss and exposethe relationship between data characteristics and data type, which can further classify the detection …

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Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu Jan 2019

Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu

Journal of System Simulation

Abstract: Aiming at the difficulty of feature extraction and related generation mechanism analysis for complex Air Defense System of Systems (ADSOS) using traditional data mining method, a novel situation assessment approach based on Force-Sparsed Stacked-Auto Encoding Neural Networks (FS-SAE) is proposed. Combined with big data and complex networks technology, FS-SAE situation assessment model is built. The emergence relations between the capacity indexes of ADSOS are formalized. And then, the formation mechanism and the contribution rate of capacity indexes are studied and the validity of this approach is validated by the simulation data. The experimental results show that formalized presentation …

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A Model For Battlefield Situation Change Rate Prediction Based On Deep Learning, Jiuyang Tao, Wu Lin, Wang Chi, Junda Chu, Liao Ying, Zhu Feng Jan 2019

A Model For Battlefield Situation Change Rate Prediction Based On Deep Learning, Jiuyang Tao, Wu Lin, Wang Chi, Junda Chu, Liao Ying, Zhu Feng

Journal of System Simulation

Abstract: To measure and estimate the uncertainty of the battlefield situation is of great significance for the commanders to plan the reconnaissance mission and reduce the risk of decision-making. Based on Shannon's information theory, firstly, methods and a model on measurement of situation change rate are proposed. Secondly, a scene with two-dimensional grid elements maneuvering is established, based on deep learning, the prediction method for maneuvering trend is explored. It is proved that cross entropy is equivalent to situation change rate. Finally, with the increase of the objective uncertainty, situation change rate and the accuracy of the forecast is …

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A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng Jan 2019

A Deep Spatio-Temporal Rnns Based Coordinated Operational Action Recognition, Yi Zhuo, Liao Ying, Xiaofeng Hu, Xuehui Du, Zhu Feng

Journal of System Simulation

Abstract: To address the issues of large feature space, numerous model parameters and slow training speed in coordinated operation action recognition, a coordinated operational action recognition method based on a deep spatio-temporal recurrent neural network is proposed. In this method, a warped region generation mechanism is introduced to divide the whole battlefield into sub-battlefield. Meanwhile, a hierarchical recurrent neural network is constructed using spatio-temporal graph model, which is applied to the generated sub-battlefield to recognize coordinated operational action. Additionally, the recognized coordinated operational actions of sub-battlefields are merged to find out all coordinated operational actions based on the principle of …

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Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen Jan 2019

Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen

Journal of System Simulation

Abstract: In view that forestry fire has the nature of multi-phase and multi-component, a forestry fire spatial diffusion model based on multi-agent algorithm with cellular automata is proposed. A method based on Wang Zhengfei-CA model is employed to approximately simulate the spread of forestry fire. On the basis of the status transition rule determined by CA and using the self-learning and variation methods of multi-agent algorithm, the measured forestry fire pattern is most similar to CA rule-driven evolution model and the CA rule can be automatically optimized. By comparatively analyzing the simulation results of the traditional Rothermel model and the …

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Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi Jan 2019

Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi

Journal of System Simulation

Abstract: Spatial data has the characteristic of extensity, timeliness, multidimensional, large amount of data and complex relations. Some non-conventional data screening tool for analysis and mining is required to find out the patterns, rules and characteristics knowledge in the spatial big data for battlefield situation awareness and battle space management. In view that the existing Apriori algorithm scans the database too frequently, the Apriori algorithm is improved on the basis of working principle of Map Reduce .The fast analysis ideas and technologyframework of spatial data is proposed. An elementary validate prototype is built for the key technology experimentation.Experimental results …

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Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun Jan 2019

Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun

Journal of System Simulation

Abstract: The interactions between an ultrasound contrast agent (UCA) microbubble and a concave surface can be applied to understanding of the response of the UCA near blood vessel wall in ultrasound field. A dynamics model of microbubble near a concave wall is presented by a virtual image method and the acoustic reflection effects of the surface. The dynamic behavior of the microbubble is analyzed by numerical calculation. The results show that the microbubble vibration is suppressed near the wall. Inhibitory effects to microbubble vibration near rigid wall are stronger than that of near elastic wall. The microbubble vibration is easier …

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Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong Jan 2019

Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong

Journal of System Simulation

Abstract: As the Learning-Oriented network platform aims to share knowledge, its users’ behavior is different from that of other network communities. Based on the Mental Accounting Theory, affecting factors of the users’ behavior is analyzed with Structural Equation Model. The simulation model using social computing method is established. This paper makes the comparative analysis on the NETLOGO simulation platform to explore and summarize the rules of users’ behavior. The final mental accounts including "Gaining Knowledge", "Learning Interest", "Sense of Belonging", and "Time". According to the conclusions and experiments, This paper provides the basis of decision making for the …

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Research And Implementation Of 3d Emergency Drilling System Of Oil Spill At Sea, Changjun Zou, Yin Yong, Xiuwen Liu, Haijiang Li Jan 2019

Research And Implementation Of 3d Emergency Drilling System Of Oil Spill At Sea, Changjun Zou, Yin Yong, Xiuwen Liu, Haijiang Li

Journal of System Simulation

Abstract: In view of the high cost, constraint to time and space, harmfulness to the environmental as well as insufficient training in extreme weather condition in current oil spill emergency drilling system, a 3D emergency drilling system of oil spill based on virtual reality is presented and implemented. The classical oil spill model is adopted to establish an oil boom driven model based on mass-spring system. Interactive operation between oil boom and oil film based on polygon clipping is realized. The system runs stably and smoothly in the system test, which fully proves the correctness and reliability of the system …

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Mathematical Modeling And Simulation Application Of Gshp Unit, Li Hui, Shaogang Yang, Fengying Liu Jan 2019

Mathematical Modeling And Simulation Application Of Gshp Unit, Li Hui, Shaogang Yang, Fengying Liu

Journal of System Simulation

Abstract: For the purpose of building a simulation platform of GSHP system, a semi empirical mathematical model of GSHP unit adopting multiple nonlinear regression method was established based on the mechanism knowledge and the sample data of GSHP unit. A GSHP unit module was developed, namely Type223, and its accuracy was verified by simulation analysis. A TRNSYS simulation platform of GSHP system was built by Type223 module. The operation characteristics of variable flow on ground source side of GSHP system was studied under variable frequency control. The results showed that, the energy consumption of GSHP unit is increased compared …

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A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong Jan 2019

A New Image Encryption Algorithm Based On Chaos, Li Lin, Liuyong Kong

Journal of System Simulation

Abstract: In order to increase the security of single chaotic systems, this paper proposesa new image encryption algorithm based on Chen chaotic system, cellular automaton and DNA. The 3-dimension Chen chaotic system is used to generate a pseudo random sequence. The DNA dynamic encoding on plain-text image and cellular automation is completed based on the transformed sequence. The DNA sequence of the plain-text image is divided into blocks, which arethen reorganized. These new groups of the DNA sequence of plain-text are combined with the DNA sequence of cellular automation to carry out the mixed operation with the cipher-text cross diffusion …

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Soc Prediction Of Battery Based On Improved Online Kernel Extreme Learning Machine, Yukun Sun, Manman Li, Yonghong Huang Jan 2019

Soc Prediction Of Battery Based On Improved Online Kernel Extreme Learning Machine, Yukun Sun, Manman Li, Yonghong Huang

Journal of System Simulation

Abstract: In order to conduct an accurate and fast online prediction for the state of charge (SOC) of battery, an improved online kernel extreme learning machine (IO-KELM) algorithm is proposed. In this work, a prediction model is presented with charge voltage, current and surface temperature as inputs and SOC of battery as output. The IO-KELM adopts Cholesky factorization to extend the kernel extreme learning machine (KELM) from offline mode to online mode. Meanwhile, the output weights of the network are updated by successive join of the new samples, and the matrix inverse operation is replaced with arithmetic. Hence, the generalization …

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Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun Jan 2019

Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun

Journal of System Simulation

Abstract: Aiming at fast computation of the composite scattering of low-fly target and ocean surface, the improvement of conventional multi-path algorithm is implemented, and a new multi-path algorithm is proposed based on the statistics of mirror facets’ slope. New algorithm takes the modulation from gravity into account in comparison with conventional algorithm. The distribution of mirror facets’ slope is counted from a determined ocean surface, and the multi-path coupling is summed with a weight coefficient, which scatters from mirror facets with different slope. Furthermore, the coupling scattering characteristic is obtained from target and ocean surface. Simulation result indicates that the …

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Optimal Control And Simulation Of Hard Shoulder Running On Highways, Ruimin Li, Ye Zhen, Bin Li Jan 2019

Optimal Control And Simulation Of Hard Shoulder Running On Highways, Ruimin Li, Ye Zhen, Bin Li

Journal of System Simulation

Abstract: This paper summarizes the problems in the operation of hard shoulder running (HSR). A new algorithm for optimizing HSR on highways is proposed, which aims to minimize the total time spent (TTS) in the whole network. Based on the METANET model of highways, the algorithm utilizes genetic algorithm and sliding windows technique to forecast and optimize the operation of HSR under different constraint conditions and target functions. The strategy is tested on the I-80E highway in California. The experimental results show that when the change frequency of HSR is less than or equal to 14 during a sliding window …

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