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- Simulation (131)
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- Support vector machine (15)
- Collision detection (14)
- Deep reinforcement learning (14)
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- Publication Year
Articles 2971 - 3000 of 3363
Full-Text Articles in Physical Sciences and Mathematics
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 …
Research On Classification Based On Autoencoder Combination Features Extraction Method, Congcong Gu, Wang Yan, Dahu Yan, Zhicheng Ji
Research On Classification Based On Autoencoder Combination Features Extraction Method, Congcong Gu, Wang Yan, Dahu Yan, Zhicheng Ji
Journal of System Simulation
Abstract: For the problem that autoencoder can not obtain class information according to labels during the unsupervised training process, to improve the recognition accuracy, stacked class denoising autoencoder(SCDAE) is proposed to extract class information, and autoencoder combination features extraction method is adapted to extract combination features for classification. The method builds a stacked denoising autoencoder(SDAE) and a SCDAE. The method fine-tunes SDAE and SCDAE to form a combined model (CM). The combination features containing main information of the input data and class information are acquired through CM, and they are further used for classification. MNIST and USPS handwritten database are …
Service Recommended Trust Algorithm Based On Cloud Model Attributes Weighted Clustering, Jindong Wang, Zhiyong Yu, Hengwei Zhang, Fang Chen
Service Recommended Trust Algorithm Based On Cloud Model Attributes Weighted Clustering, Jindong Wang, Zhiyong Yu, Hengwei Zhang, Fang Chen
Journal of System Simulation
Abstract: In cloud computing, there are cloud services of different qualities. How to choose credible and reliable service has become a key issue when users select services. Aiming at the shortcomings of the existing evaluation methods, a service clustering method based on attributes weighted cloud model is proposed. The users’ evaluation similarity with weighted Pearson correlation coefficient method based on service clustering is calculated. The users’ similarity combined with the index weights of users’ service selection is computed. The nearest neighbors are gotten. The recommendation trust of the services with the recommendation trust algorithm is obtained. Simulation results …
Multi-Frame Fusion Method For Point Cloud Of Lidar Based On Imu, Yanguo Zhang, Li Qing
Multi-Frame Fusion Method For Point Cloud Of Lidar Based On Imu, Yanguo Zhang, Li Qing
Journal of System Simulation
Abstract: Aiming at the problem that in the process of using 16-line laser radar to realize environment perception, the point cloud data is sparse, which leads to the difficulty of target detection and tracking, a new method of LiDAR point cloud fusion based on inertial measurement unit (IMU) is proposed. The method establishes a multi-frame LiDAR point cloud data fusion model, which can effectively use historical point cloud data and detection results to obtain more environmental information, and improve the detection accuracy and tracking ability of target objects. 16-line laser radar and the self-developed IMU sensor are used to conduct …
Real-Time Pricing Strategy Considering The Risk Of Smart Grid, Hongbo Zhu, Gao Yan, Yeming Dai
Real-Time Pricing Strategy Considering The Risk Of Smart Grid, Hongbo Zhu, Gao Yan, Yeming Dai
Journal of System Simulation
Abstract: The real-time electricity price mechanism is an ideal method to adjust the power balance between supply and demand in smart grid. Its implementation has profound impacts on the users' behavior and the operation and management of electricity power grid’s safety. The users’ demand behavior plays a regulatory role in designing real-time electricity pricing strategy. Aiming at maximizing social welfare, the dynamic change of users’ aggregate demand is analyzed, which corrects the electricity risk items in online real-time risk model in the way of changing the individual user’s power fluctuations to all the users’ demand power fluctuations, and the optimization …
Simulation And Experimental Research On Real-Time Nurbs Interpolator For Industrial Robot, Zhang Tie, Wentao Gong, Yanbiao Zou
Simulation And Experimental Research On Real-Time Nurbs Interpolator For Industrial Robot, Zhang Tie, Wentao Gong, Yanbiao Zou
Journal of System Simulation
Abstract: A real-time non uniform rational B-spline (NURBS) path interpolator with look-ahead algorithm for six-axis industrial robot is investigated. The algorithm consists of two modules: the global interpolation of the NURBS, and the look-ahead interpolator. The parametric equation of NURBS is built based on the parameter u and v, and the smooth NURBS curve is achieved from several teaching points. The velocity constraint equations are introduced initially based on chord error and centripetal acceleration, and the look-ahead velocity plan and the interpolator are investigated. The current strategy is compared with the trapezoidal acceleration and deceleration interpolator in a real-time controller …
Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu
Simulation Study On Cutting Force Of Sicp /Al Composite, Jinfeng Wang, Jiulan Zhao, Kaiyu Chu
Journal of System Simulation
Abstract: This paper studies the formation mechanism of cutting force of SiCp / Al composite based on the processing parameters from the turning experiment, and explains the effect of cutting parameters on the cutting force of SiCp/Al composite such as cutting speed and cutting depth. To further investigate the influence of cutting parameters on cutting force, this paper conducts cutting force simulation of SiCp/Al composite based on ABAQUS, and verifies the accuracy and feasibility of the simulation by comparing with turning experimental results. The S/N ratio and variance of cutting force are analyzed using Taguchi methods. The results show that …
Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei
Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei
Journal of System Simulation
Abstract: Adopting the discrete event-triggered communication scheme (DETCS), the satisfactory fault-tolerant control of nonlinear networked control system (NNCS) under the sparse data transmission circumstance was studied. Based on the background of event-triggered sparse data transmission, a closed-loop model with actuator failure and actuator saturation was established. Based on Lyapunov-Krasovskii function and the safety degree definition proposed in this paper, a sufficient condition was presented for NNCS with the generalized H?/H2 performance under the case of actuator saturation and actuator failure, which was the contractively invariant set of fault-tolerance with α-safety degree, and …
Collaborative Optimal Scheduling Method For Production And Energy Consumption In Discrete Manufacturing Process, Wenjie Chen, Wang Yan
Collaborative Optimal Scheduling Method For Production And Energy Consumption In Discrete Manufacturing Process, Wenjie Chen, Wang Yan
Journal of System Simulation
Abstract: The collaborative optimization of manufacturing process and energy consumption is one of the hot research issues in intelligent optimization manufacturing. To solve the scheduling optimization problem of discrete manufacturing process, a coordinated scheduling optimization of production and energy consumption with the shortest processing time and lowest energy consumption is established. The model proposes an improved differential evolution algorithm based on adaptive mutation and crossover probability factor to solve the optimal scheduling problem. By establishing the operation-based coding method, the application of continuous algorithm in discrete optimization scheduling problem is realized by using ascending ordering rules. The effectiveness of …
Fault Diagnosis Of Rolling Bearing Based On Improved Extreme Learning Machine, Tiantian Wang, Wang Yan, Zhicheng Ji
Fault Diagnosis Of Rolling Bearing Based On Improved Extreme Learning Machine, Tiantian Wang, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: According to the parameter-dependent characteristics of the wavelet kernel extreme learning machine, which make the effect of the rolling bearing fault classifier model poor, a fault classification method based on improved grey wolf optimizer algorithm for optimizing wavelet kernel extreme learning machine was proposed. The method combined the variational mode decomposition and singular value decomposition to extract fault signal characteristics. The opposition-based-learning and the levy flight strategy were introduced to improve the grey wolf optimizer algorithm, which enriched the population diversity of the grey wolf optimizer algorithm, improved the convergence speed of the algorithm and the ability to get …
Adaptive Backstepping Sliding Mode Control For Straight Line Track Of Unmanned Transport Ship, Mingcong Li, Guo Chen, Yuan Yi
Adaptive Backstepping Sliding Mode Control For Straight Line Track Of Unmanned Transport Ship, Mingcong Li, Guo Chen, Yuan Yi
Journal of System Simulation
Abstract: With the development of unmanned ship technology, the intelligent control of ships is gradually used on large unmanned transport ships. In the course of navigation, ships are often disturbed by various nonlinear factors. Based on Norbbin nonlinear ship motion model, and adopting Lyapunov stability theorem to guarantee the stability of the closed-loop control system, a new sliding mode control method is proposed. Combined with backstepping, a backstepping sliding mode control method is designed to control the line track of ship on condition that the bound of disturbance is known. If the bound of disturbance is unknown, an adaptive …
Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu
Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu
Journal of System Simulation
Abstract: Since the traditional RFID positioning technology relies on the Internet and is especially constrained by the positioning distance in the process of positioning the tags with poor positioning accuracy, a novel positioning algorithm is proposed based on the ZigBee and improved VIRE algorithm. By using the proposed algorithm, ZigBee nodes are adopted to achieve the formation of network information transmission to replace the traditional wired communication. Gaussian-Kalman filter is used to deal with the sampling data of the limited preselected reference node signal strength. The algorithm adopts signal propagation loss model to calculate the RSSI values of virtual reference …
Infrared Scene Generation Technology Based On Hardware-In-The-Loop Simulation Of Mos Resistance Arrays, Shanjun Tang, Minmin Song, Biyun Wang, Zhang Yu
Infrared Scene Generation Technology Based On Hardware-In-The-Loop Simulation Of Mos Resistance Arrays, Shanjun Tang, Minmin Song, Biyun Wang, Zhang Yu
Journal of System Simulation
Abstract: To simulate the dynamic infrared scene of infrared guided missile in the hardware-in-the-loop simulation, the researches on the modeling of the target, background and flare and the simulation using MOS resistance arrays are carried out. The infrared countermeasure scene which is applicable to the hardware-in-the-loop simulation is generated by the modeling software, and the infrared radiation model and motion model of the typical target, background and flare are established. The models are verified and corrected by the investigated data of the current main fighters and their infrared flares. The dynamic infrared scene is simulated according to the infrared scene …
Method And Simulation Of Gradual Rough Milling Based On Surface Deformation, Xiulin Sui, Xiaoqi Chen, Jianghua Ge
Method And Simulation Of Gradual Rough Milling Based On Surface Deformation, Xiulin Sui, Xiaoqi Chen, Jianghua Ge
Journal of System Simulation
Abstract: In view of uneven allowance and rough surface of traditional equal height stratification for rough milling, a gradual hierarchy process method was proposed. As the model established by T-spline surface has unified parameter domain, an improved variable distance offset method was used to define the rules of surface deformation, and a series of deformation surface sequences were obtained. The cutting depth, tool radius and other machining parameters were used as constraint conditions so as to get the sequence of processing layers. By planning the tool path of each layer, the whole tool path of gradual hierarchy process which was …
Prediction Of Aircraft Cabin Energy Consumption Based On Improved Cooperative Pso Neural Network, Xiuyan Wang, Yanmin Liu, Gewen Zhang, Zongshuai Li, Jiaquan Lin
Prediction Of Aircraft Cabin Energy Consumption Based On Improved Cooperative Pso Neural Network, Xiuyan Wang, Yanmin Liu, Gewen Zhang, Zongshuai Li, Jiaquan Lin
Journal of System Simulation
Abstract: To correctly evaluate the energy needs of the aircraft cabin and to predict the energy consumption of the aircraft cabin with higher accuracy, an energy consumption prediction method based on improved particle swarm optimization (PSO) neural network algorithm parameters is proposed. The method combines the cooperative particle swarm optimization algorithm with chaotic particle swarm optimization algorithm. On the basis of cooperative particle swarm optimization algorithm chaos theory is introduced. Continuous search ability by using chaos optimization method to overcome the collaborative optimization algorithm is easy to fall into the local extremum problem. The parameters of the neural network can …
Comparative Study Of Photovoltaic Islanding Detection Based On Sms And Afd, Yunjun Yu, Guoying Zhong, Ruixiang Fan, Qingzhao Ji, Jianyong Zhu
Comparative Study Of Photovoltaic Islanding Detection Based On Sms And Afd, Yunjun Yu, Guoying Zhong, Ruixiang Fan, Qingzhao Ji, Jianyong Zhu
Journal of System Simulation
Abstract: There are many islanding detection methods, especially the active islanding detection method. It is difficult to choose the best method among so many active islanding detection methods in practice. In this paper, the non-detection zone (NDZ), detection speed and their effect to power quality of slide-mode frequency shift (SMS) method and active frequency drift (AFD) were researched. The results show that SMS is superior to AFD at the aspect of the effect on power quality when they have same NDZ. While the detection speed of SMS has big difference under different parameters. The Islanding detection model was built …
Simulation Of Two Stages-Variant Growth Evolution Model Of High-Speed Railway And Civil Aviation Compound Network, Xu Feng, Jinfu Zhu, Jianjun Miao, Rongrong Ding
Simulation Of Two Stages-Variant Growth Evolution Model Of High-Speed Railway And Civil Aviation Compound Network, Xu Feng, Jinfu Zhu, Jianjun Miao, Rongrong Ding
Journal of System Simulation
Abstract: Combining the special evolving characteristics of the high-speed railway and civil aviation compound network, an evolution model which has two stages with variant growth mechanism and variable parameters is constructed, and the rationality of the model is verified through mathematical simulation. The model divides the evolutionary process into two stages: the stage of single-point growth pattern, and the stage of variant and alternant growth pattern. The probability of two sub-networks’ random and commutative growth could be controlled by changing the parameters’ values, and then the evolving rhythm and scale of the compound network could be adjusted. The simulation results …
Cam Of Possible Accident For Longitudinal Slope Curve Of Mountain Freeway, Mingbao Pang, Zhanghui Cai
Cam Of Possible Accident For Longitudinal Slope Curve Of Mountain Freeway, Mingbao Pang, Zhanghui Cai
Journal of System Simulation
Abstract: Based on the analysis of vehicle driving behaviors and accidents, a cellular automaton (CA) simulation model of longitudinal slope curve on mountain freeway with the possible occurrence of traffic accident was established. The model was preliminarily validated via the comparisons between the accident rates in simulation experiments and that in actual statistics for the concrete roads. The possible schemes were determined by setting the different values of road geometric linear parameters. The nonlinear behaviors of traffic flow were simulated and the accident probabilities were obtained. The relations among the accident rate and the parameters’ values were discussed. …
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 …
Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu
Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu
Journal of System Simulation
Abstract: With the electric vehicles (EVs) gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers’ attention. The exploration of energy consumption of EVs has largely focused on people’s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires (DSQs), a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers’ revealed behavior and stated driving style under different …
Co-Matting Of Natural Image Pairs, Wei Yi, Shang Liu, Jiahe Qiu, Guijuan Zhang, Dengming Zhu, Yanfei Shen
Co-Matting Of Natural Image Pairs, Wei Yi, Shang Liu, Jiahe Qiu, Guijuan Zhang, Dengming Zhu, Yanfei Shen
Journal of System Simulation
Abstract: Aiming at dealing with the problem of natural image matting, this study focused on a closed-form solution to image pairs matting. For given two images and their corresponding trimaps, the affinity matrix between the two images is calculated. The matting Laplacian which characters an image to co-matting Laplacian which characters a pair of images is generalized. The alpha mattes of image pairs were obtained by optimizing the energy function which derived from co-matting Laplacian. To validate the approach, the experiments on several datasets are conducted. The results demonstrate that the method can achieve higher quality and is suitable …
High Performance Fault-Tolerant Scheduling Method And Simulation For Heterogeneous Multicore, Shigan Yu, Zhimin Tang, Xiaochun Ye, Zhimin Zhang
High Performance Fault-Tolerant Scheduling Method And Simulation For Heterogeneous Multicore, Shigan Yu, Zhimin Tang, Xiaochun Ye, Zhimin Zhang
Journal of System Simulation
Abstract: To deal with the problem of low performance and high power consumption when solving the transient fault of the processor with three mode redundancy (TMR), a task execution algorithm for heterogeneous multicore considering fault tolerant (TEAHFT) is proposed. The tasks to be executed are divided into sensitive tasks and fault-tolerant tasks. The sensitive tasks are executed in a TMR mode, and the fault-tolerant tasks are executed in a competitive scheduling mode. The task will be rerun in TMR method if the results of the fault-tolerant tasks do not meet the reliability threshold. The simulation experimental results show that TEAHFT …
Improved Hybrid Bounding Box Collision Detection Algorithm, Wang Chao, Zhili Zhang, Long Yong, Shaodi Wang
Improved Hybrid Bounding Box Collision Detection Algorithm, Wang Chao, Zhili Zhang, Long Yong, Shaodi Wang
Journal of System Simulation
Abstract: For the construction of the oriented bounding box (OBB) takes a long time and the efficiency of the scene collision detection algorithm is not high, a fast-adaptive hybrid bounding box collision detection algorithm is proposed, which optimizes the bounding box of hierarchy and the way of storage. A large number of objects that cannot be intersected are excluded by means of the eight-tree space division and the rough detection of the sphere, and the exact intersecting test of the OBB can be made. The experimental result shows that compared with the OBB algorithm, the complexity of the bounding …
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 …
12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing
12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing
Journal of System Simulation
Abstract: For wearable pedestrian strapdown inertial navigation and location devices, the different devices need different pedestrian dead reckoning (PDR) parameters, and the parameters are not such the optimal value that it affects the accuracy. A self-pedestrian navigation and location method based on the 12-dimensional zero-velocity state update intelligent algorithm is proposed, in which three dimensional errors of velocity, angular speed, location and geomagnetism are introduced as the system observations and an intelligent estimator which is formed by the support vector machine (SVM) and Kalman filter is established to estimate the system state error, and therefore the system accuracy is improved. …
Setting Conditions Of U-Turns At Entrances Of Signalized Intersections, Haipeng Shao, Yuxuan Wang, Xingying Chen, Binbin Zheng
Setting Conditions Of U-Turns At Entrances Of Signalized Intersections, Haipeng Shao, Yuxuan Wang, Xingying Chen, Binbin Zheng
Journal of System Simulation
Abstract: There is a demand for U-turn at intersections of signal controlled intersections. The U-turn conditions required for U-turn vehicles vary with different road and traffic conditions. To determine the appropriate U-turn design conditions at the entrance of the signalized intersection so that vehicles can pass safely and orderly, based on the simulation of the U-turn behavior of the vehicle, the characteristics of the vehicle trajectory are analyzed and a U-turn space discriminant model is established. Based on the theoretical model of vehicle queuing and lane change at signalized intersections, a calculation model for the U-turn setting position is …
Simulation Of Wind Power Prediction Based On Improved Elm, Wang Hao, Wang Yan, Zhicheng Ji
Simulation Of Wind Power Prediction Based On Improved Elm, Wang Hao, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: To predict the range of ultra-short-term wind power fluctuation effectively, a combined forecasting model based on fuzzy information granulation (FIG) and genetic algorithm optimization extreme learning machine (GA-ELM) is proposed. The parameters of wind power are granulated by fuzzy information, and the corresponding valid information including the maximal value, the minimum value, and the general average value in time series window is further extracted. By integrating the effective components of each parameter as training samples, the GA-ELM-based prediction model is established. The range of wind power fluctuation in next time series is forecasted through using the optimized model. The …
Study On Evacuation Modeling Of Airport Based On Social Force Model, Shaobo Zhong, Zhichen Yu, Yongsheng Yang, Sun Chao, Quanyi Huang
Study On Evacuation Modeling Of Airport Based On Social Force Model, Shaobo Zhong, Zhichen Yu, Yongsheng Yang, Sun Chao, Quanyi Huang
Journal of System Simulation
Abstract: Public safety events frequently occurred in China and caused great casualty and property loss. Inefficient evacuation is one of the major causes of casualties in emergencies. Taking the T3-E of the Beijing Capital International Airport as a study area, the influence of four factors of evacuation guidance, customs barriers, the airport seats, and construction columns studies is studied through social force model-based simulation. The results show that: four factors have local effects on evacuation respectively. Evacuation guidance has the most significant positive effect while others have a little significant negative effect. Moreover, the relationships between the maximal and optimal …
Research On Mode Shape Characteristics Simulation Of Bell-Shaped Vibratory Angular Rate Gyro, Liu Ning, Su Zhong
Research On Mode Shape Characteristics Simulation Of Bell-Shaped Vibratory Angular Rate Gyro, Liu Ning, Su Zhong
Journal of System Simulation
Abstract: It presents the analysis method of metal shell vibratory gyro’s mode shape for simulation research on Bell-shaped vibratory angular rate gyro, and gives the solution process and result of simulation analysis. Based on the Kirchhoff-Love assuming, by numerical methods to solve mode shape functions of bell-shaped resonator, the low-order modes of bell-shaped resonator is given through comprehensive analysis and finite element simulation results. The mode shaped characteristics of bell-shaped resonator is analyzed effectively through this method. Theory and simulation methods verify the correctness of the theory and promote modal, and lay the bell-shaped vibratory angular rate gyro …
Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan
Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan
Journal of System Simulation
Abstract: Considering the influence of heterogeneous travel on traffic flow distribution, the travelers’ route choice behaviors are classified into three types: price regulation, quantity regulation and price-quantity regulation. Three day-to-day dynamical stochastic assignment models based on the disequilibrium theory are established, and the existence, uniqueness, and stability of the solutions to these models are proved. Through model simulation, it proved that each path flow in these three models can converge to a steady state after a finite travel adjustment, and the day-to-day dynamical stochastic assignment model under price-quantity regulation can simulate the influence of heterogeneous travel behaviors on the distribution …