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Articles 7441 - 7470 of 25690

Full-Text Articles in Engineering

Epics Urban Farming: Bringing Sustainable Fresh Food To Gary, Indiana, Elijah Klein Oct 2020

Epics Urban Farming: Bringing Sustainable Fresh Food To Gary, Indiana, Elijah Klein

Purdue Journal of Service-Learning and International Engagement

EPICS Urban Farming is a team of seventeen undergraduate students designing and implementing an aquaponics and food distribution system in Gary, Indiana. With the area being a food desert, most people turn to corner stores for food that is easily accessible and cheap but unhealthy. From this diet, there are quite a few widespread health concerns that the population of Gary, Indiana, faces daily. For example, obesity, diabetes, and heart conditions are some of the most common diseases that plague the community. Urban Farming is working to aid in combating these issues with the partnership of Pastor Marty Henderson, who …

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Resource Discovery In A Changing Content World, Allen Jones, Cynthia R. Schwarz, Hannah Mckelvey, Rachelle Mclain, Christine Stohn Oct 2020

Resource Discovery In A Changing Content World, Allen Jones, Cynthia R. Schwarz, Hannah Mckelvey, Rachelle Mclain, Christine Stohn

Charleston Library Conference

Discovery services have evolved to include not just books and articles, but databases, website content, research guides, digital and audiovisual collections, and unique local collections that are all important for their users to be able to find. Search and ranking remain at the core of discovery, but advanced tools such as recommendation, virtual browse, ‘look inside‘, and the use of artificial intelligence are also becoming more prevalent. This group of panelists discussed how content in their discovery systems can change based on the context of the user, using as examples Primo and Blacklight, and how content is populated, discovered and …

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Hateproofing Your Message: Response And Prevention Strategies For "Hatejacks", Bond Benton, Daniela Peterka-Benton Oct 2020

Hateproofing Your Message: Response And Prevention Strategies For "Hatejacks", Bond Benton, Daniela Peterka-Benton

Department of Justice Studies Faculty Scholarship and Creative Works

No abstract provided.

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Research Experience For Undergraduates During Covid-19, Mustafa Akbas Oct 2020

Research Experience For Undergraduates During Covid-19, Mustafa Akbas

Florida Statewide Symposium: Best Practices in Undergraduate Research

This presentation provides the student team interaction and mentorship experience at Embry-Riddle Aeronautical University’s “National Science Foundation (NSF) Research Experiences for Undergraduates (REU) Site: Cybersecurity Research of Unmanned Aerial Vehicles” from the summer semester of 2020. The Site had been planned for a face-of-face research experience under several mentors for an eight-week period. However, due to Covid-19, the teams had to meet, discuss, present and work online, which was both a challenge and an opportunity. Both students and mentors had lessons from this online experience that they will remember and use in the upcoming years. In this presentation, we present …

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Optimizing The Performance Of Multi-Threaded Linear Algebra Libraries Based On Task Granularity, Shahrzad Shirzad Oct 2020

Optimizing The Performance Of Multi-Threaded Linear Algebra Libraries Based On Task Granularity, Shahrzad Shirzad

LSU Doctoral Dissertations

Linear algebra libraries play a very important role in many HPC applications. As larger datasets are created everyday, it also becomes crucial for the multi-threaded linear algebra libraries to utilize the compute resources properly. Moving toward exascale computing, the current programming models would not be able to fully take advantage of the advances in memory hierarchies, computer architectures, and networks. Asynchronous Many-Task(AMT) Runtime systems would be the solution to help the developers to manage the available parallelism. In this Dissertation we propose an adaptive solution to improve the performance of a linear algebra library based on a set of compile-time …

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On Correctness, Precision, And Performance In Quantitative Verification: Qcomp 2020 Competition Report, Carlos E. Budde, Arnd Hartmanns, Michaela Klauck, Jan Křetínský, David Parker, Tim Quatmann, Andrea Turrini, Zhen Zhang Oct 2020

On Correctness, Precision, And Performance In Quantitative Verification: Qcomp 2020 Competition Report, Carlos E. Budde, Arnd Hartmanns, Michaela Klauck, Jan Křetínský, David Parker, Tim Quatmann, Andrea Turrini, Zhen Zhang

Electrical and Computer Engineering Faculty Publications

Quantitative verification tools compute probabilities, expected rewards, or steady-state values for formal models of stochastic and timed systems. Exact results often cannot be obtained efficiently, so most tools use floating-point arithmetic in iterative algorithms that approximate the quantity of interest. Correctness is thus defined by the desired precision and determines performance. In this paper, we report on the experimental evaluation of these trade-offs performed in QComp 2020: the second friendly competition of tools for the analysis of quantitative formal models. We survey the precision guarantees - ranging from exact rational results to statistical confidence statements - offered by the nine …

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Investigating Factors Predicting Effective Learning In A Cs Professional Development Program For K–12 Teachers, Patrick Morrow Oct 2020

Investigating Factors Predicting Effective Learning In A Cs Professional Development Program For K–12 Teachers, Patrick Morrow

School of Computing: Dissertations, Theses, and Student Research

The demand for K-12 Computer Science (CS) education is growing and there is not an adequate number of educators to match the demand. Comprehensive research was carried out to investigate and understand the influence of a summer two-week professional development (PD) program on teachers’ CS content and pedagogical knowledge, their confidence in such knowledge, their interest in and perceived value of CS, and the factors influencing such impacts. Two courses designed to train K-12 teachers to teach CS, focusing on both concepts and pedagogy skills were taught over two separate summers to two separate cohorts of teachers. Statistical and SWOT …

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Finite-Time State Estimation For An Inverted Pendulum Under Input-Multiplicative Uncertainty, Sergey V. Drakunov, William Mackunis, Anu Kossery Jayaprakash, Krishna Bhavithavya Kidambi, Mahmut Reyhanoglu Oct 2020

Finite-Time State Estimation For An Inverted Pendulum Under Input-Multiplicative Uncertainty, Sergey V. Drakunov, William Mackunis, Anu Kossery Jayaprakash, Krishna Bhavithavya Kidambi, Mahmut Reyhanoglu

Publications

A sliding mode observer is presented, which is rigorously proven to achieve finite-time state estimation of a dual-parallel underactuated (i.e., single-input multi-output) cart inverted pendulum system in the presence of parametric uncertainty. A salient feature of the proposed sliding mode observer design is that a rigorous analysis is provided, which proves finite-time estimation of the complete system state in the presence of input-multiplicative parametric uncertainty. The performance of the proposed observer design is demonstrated through numerical case studies using both sliding mode control (SMC)- and linear quadratic regulator (LQR)-based closed-loop control systems. The main contribution presented here is the rigorous …

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Challenges To Adopting Hybrid Methodology: Addressing Organizational Culture And Change Control Problems In Enterprise It Infrastructure Projects, Harishankar Krishnakumar Oct 2020

Challenges To Adopting Hybrid Methodology: Addressing Organizational Culture And Change Control Problems In Enterprise It Infrastructure Projects, Harishankar Krishnakumar

Dissertations and Theses

IT infrastructure projects have long been an overlooked field superseded by the more popular software development silos and cross-functional project teams when it comes to enterprise Agile transformations. This paper presents a systematic literature review by leveraging a qualitative research methodology based on empirical evidence provided in contemporary scholarly research articles to explore how certain variables such as organizational culture- including team structure, leadership hierarchy, geolocation, etc. along with an organization’s change management processes affect the adoption of a Hybrid/Agile project management methodology, focusing on reported challenges and critical success factors that define such large-scale enterprise transformations. The salient features …

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Content Modelling For Unbiased Information Analysis, Milind Gayakwad, Suhas Patil Dr Oct 2020

Content Modelling For Unbiased Information Analysis, Milind Gayakwad, Suhas Patil Dr

Library Philosophy and Practice (e-journal)

Content is the form through which the information is conveyed as per the requirement of user. A volume of content is huge and expected to grow exponentially hence classification of useful data and not useful data is a very tedious task. Interface between content and user is Search engine. Therefore, the contents are designed considering search engine's perspective. Content designed by the organization, utilizes user’s data for promoting their products and services. This is done mostly using inorganic ways utilized to influence the quality measures of a content, this may mislead the information. There is no correct mechanism available to …

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3d Reconstruction Of Spine Image From 2d Mri Slices Along One Axis, Somoballi Ghoshal, Sourav Banu, Amlan Chakrabarti, Susmita Sur-Kolay, Alok Pandit Oct 2020

3d Reconstruction Of Spine Image From 2d Mri Slices Along One Axis, Somoballi Ghoshal, Sourav Banu, Amlan Chakrabarti, Susmita Sur-Kolay, Alok Pandit

Journal Articles

Magnetic resonance imaging (MRI) is a very effective method for identifying any abnormality in the structure and physiology of the spine. However, MRI is time consuming as well as costly. In this work, the authors propose an algorithm which can reduce the time of MRI and thus the cost, with minimal compromise on accuracy. They reconstruct a three-dimensional (3D) image of the spine from a sequence of 2D MRI slices along any one axis with reasonable slice gap. In order to preserve the image at the edges properly, they regenerate the 3D image by using a combination of bicubic and …

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Flight Simulator Modeling Using Recurrent Neural Networks, Nickolas Sabatini, Andreas Natsis Oct 2020

Flight Simulator Modeling Using Recurrent Neural Networks, Nickolas Sabatini, Andreas Natsis

Maseeh Summer Undergraduate Research Experience

Recurrent neural networks (RNNs) are a form of machine learning used to predict future values. This project uses RNNs tor predict future values for a flight simulator. Coded in Python using the Keras library, the model demonstrates training loss and validation loss, referring to the error when training the model.

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Bibliometric Survey On Biometric Iris Liveness Detection, Smita Khade, Dr.Swati Ahirrao, Dr. Sudeep Thepade Oct 2020

Bibliometric Survey On Biometric Iris Liveness Detection, Smita Khade, Dr.Swati Ahirrao, Dr. Sudeep Thepade

Library Philosophy and Practice (e-journal)

Authentication is an essential step for giving access to resources to authorized individuals and prevent leakage of confidential information. The traditional authentication systems like a pin, card, a password could not differentiate among the authorized users and fakers who have an illegal access to the system. Traditional authentication technique never alerts about the unwanted access to the system. The device that allows the automatic identification of an individual is known as a biometric system. It is not required to remember a password, card, and pin code in the Bio-metric system. Numerous biometric characteristics like the fingerprint, iris, palm print, face …

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Reinforcement Learning Based Maximum Power Point Tracking Control Of Partially Shaded Photovoltaic System, Kuan-Yu Chou, Chia-Shiou Yang, Yon-Ping Chen Oct 2020

Reinforcement Learning Based Maximum Power Point Tracking Control Of Partially Shaded Photovoltaic System, Kuan-Yu Chou, Chia-Shiou Yang, Yon-Ping Chen

Journal of Marine Science and Technology–Taiwan

Under the sun insolation in the daytime, the Maximum Power Point Tracking (MPPT) technique is usually used to achieve the maximum power in the photovoltaic (PV) system and often implemented by the Perturbation and Observation (P&O) method. However, due to the use of fixed step size, the P&O method will generate undesired oscillation around the maximum power point (MPP) and thus reduce the tracking efficiency. Besides, the output power of PV modules highly depends on the environment factors such as irradiance and temperature, especially for a PV array, which is formed by PV modules connected in series and parallel. The …

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A Survey Of Advanced Control Methods For Permanent Magnet Stepper Motors, Yong Woo Jeong, Youngwoo Lee, Chung Choo Chung Oct 2020

A Survey Of Advanced Control Methods For Permanent Magnet Stepper Motors, Yong Woo Jeong, Youngwoo Lee, Chung Choo Chung

Journal of Marine Science and Technology–Taiwan

Permanent Magnet (PM) stepper motors have been widely used in industry due to their low material costs and robustness against the environment. Furthermore, it is relatively easy to implement a control system compared to other type motors. It has been recently reported that advanced control methods show improved tracking performance over the conventional microstepping control. In this paper, we make a survey of advanced control methods for PM stepper motors. First, we introduce basic principles of open-loop control of PM stepper motors, including microstepping. Then we explain various advanced feedback control techniques based on Lyapunov stability. Second, we briefly summarize …

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Agile Rov For Underwater Surveillance, Ikuo Yamamoto, Akihiro Morinaga, Murray Lawn Oct 2020

Agile Rov For Underwater Surveillance, Ikuo Yamamoto, Akihiro Morinaga, Murray Lawn

Journal of Marine Science and Technology–Taiwan

Surveillance of submerged plant is becoming increasingly critical as ocean based resources become more and more important. A wide varieties of new roles have recently emerged ranging from aquaculture to offshore power generation systems, in addition to the monitoring of the aging submerged sections of bridges, piers and dams etc. Consecutive generations of ROVs have been developed at Nagasaki University to meet the changing needs for surveillance of submerged plant. This paper outlines briefly the ROVs developed to date and the move to increase ROV autonomy using AI (artificial intelligence).

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Gain-Scheduled Control Of Discretized Ship Autopilot System Subject To Poleassignment And Passivity Constraints, Wen-Jer Chang, Cheung-Chieh Ku, Chih-Yu Yen, Guan-Wei Chen Oct 2020

Gain-Scheduled Control Of Discretized Ship Autopilot System Subject To Poleassignment And Passivity Constraints, Wen-Jer Chang, Cheung-Chieh Ku, Chih-Yu Yen, Guan-Wei Chen

Journal of Marine Science and Technology–Taiwan

This paper addresses a control performance problem for discretized ship autopilot system with uncertainty. To completely express the uncertainty, Linear Parameter Varying (LPV) modelling technology is employed such that the ship autopilot system is described via several linear systems and weighting function. Furthermore, gain-scheduled scheme is applied to design a controller to achieve the passivity and pole-assignment constraints. Moreover, a Parameter-Dependent Lyapunov Function (PDLF) is used to derive some sufficient conditions. Through the proposed design method, the attenuation performance and stability of the system can be guaranteed. Besides, the transient responses are furtherly improved such that the ship autopilot system …

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Adaptive Pid-Like Control Using Broad Learning System For Nonlinear Dynamic Systems, Ching-Chih Tsai, Chun-Chieh Chan, Chien-Cheng Yu, Hung-Sheng Chen, Guo-Shun Hung Oct 2020

Adaptive Pid-Like Control Using Broad Learning System For Nonlinear Dynamic Systems, Ching-Chih Tsai, Chun-Chieh Chan, Chien-Cheng Yu, Hung-Sheng Chen, Guo-Shun Hung

Journal of Marine Science and Technology–Taiwan

This paper presents a new learning control structure using broad learning system (BLS) for adaptive PID-like control of unknown digital nonlinear dynamic systems with time delays. The proposed control method, abbreviated as BLS-APIDLC, is novel in combining BLS and model predictive control to develop a new PID-like control law for high-performance setpoint tracking control and disturbance rejection. Comparative simulations on two renowned nonlinear digital time-delay systems are well used to show the effectiveness and superiority of the proposed method by comparing to four existing methods. I

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Control Barrier Function Design Using Revived Transformation, Maki Takai, Motoi Igarashi, Hisakazu Nakamura Oct 2020

Control Barrier Function Design Using Revived Transformation, Maki Takai, Motoi Igarashi, Hisakazu Nakamura

Journal of Marine Science and Technology–Taiwan

The state constraint problem is an essential topic in control theory, wherein control methods using a control barrier function (CBF) and a revived transformation have been recently proposed. However, a way of designing the CBF is yet to be developed in a constrained space. In this study, we propose a CBF design method by using a revived transformation. Our method can design a CBF in a constrained space by utilizing a diffeomorphism from an unconstrained space. We demonstrate the effectiveness of the proposed method by human assist control design and computer simulation.

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Constraints To Guarantee Gain And Phase Margins For Data-Driven Controller Tuning Methods, Taiga Sakatoku, Kazuhiro Yubai, Daisuke Yashiro, Satoshi Komada Oct 2020

Constraints To Guarantee Gain And Phase Margins For Data-Driven Controller Tuning Methods, Taiga Sakatoku, Kazuhiro Yubai, Daisuke Yashiro, Satoshi Komada

Journal of Marine Science and Technology–Taiwan

The Noniterative Correlation-based Tuning (NCbT) is one of the data-driven controller tuning methods which directly tune controller parameters from input/output data set of a plant . The NCbT is based on the correlation approach to robustly tune controller parameters using a noisy input/output data set. Since the NCbT guarantees closed-loop stability only for the situation where the data is acquired, a plant fluctuation is not taken into consideration, which may lead to degradation of control performance and/or destabilization of the closed-loop system . In this paper, we virtually produce input/output data sets of the plant with various gain and/or phase …

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The Research Of The Rfid Anchor Assisted Slam On An Autonomous Patrolling System, Chien-Wu Lan, Che-Hung Liu Oct 2020

The Research Of The Rfid Anchor Assisted Slam On An Autonomous Patrolling System, Chien-Wu Lan, Che-Hung Liu

Journal of Marine Science and Technology–Taiwan

To allow service robots to patrol indoors is a difficult challenge of the robot control technology. As long as this purpose can be achieved, it can increase the value of service robots in the commercial applications. In this research, an anchor deployment strategy combined with a stereo vision system for the robot synchronization positioning and mapping is proposed, which is based on an open source Gmapping Simultaneous Localization and Mapping (SLAM) algorithm of Robot Operating System (ROS), and enables a robot to simultaneously positioning and build environment maps autonomously. The anchors are developed based on the radio frequency identification (RFID), …

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Mouse Type Ballbot Identification And Control Using A Convex-Concave Optimization, Sudchai Boonto, Surapong Puychaisong Oct 2020

Mouse Type Ballbot Identification And Control Using A Convex-Concave Optimization, Sudchai Boonto, Surapong Puychaisong

Journal of Marine Science and Technology–Taiwan

This paper shows how to identify and control a mouse type Ballbot. The Ballbot is an unstable complex system. Using the first principle law to model the robot is not accurate enough. An identification method is proposed. The model is transformed to be MIMO state space model and using a convexconcave optimization to design a robust PI+phase-lead controller. Experiments on a design Ballbot are presented. It turns out that an identification model of Bollbot and a PI+phase-lead controller design framework is suitable for using to control a Ballbot

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Robotic Suturing In Minimally Invasive Surgery, Jia-Yush Yen, Hao-Xiang Kang, Kuan Shen, Yung-Yaw Chen, Ming-Chih Ho Oct 2020

Robotic Suturing In Minimally Invasive Surgery, Jia-Yush Yen, Hao-Xiang Kang, Kuan Shen, Yung-Yaw Chen, Ming-Chih Ho

Journal of Marine Science and Technology–Taiwan

Minimally invasive surgery (MIS) has the advantages of minimal bleeding and rapid postoperative recovery, which can alleviate patient suffering. Therefore, MIS is widely used in clinical applications. However, MIS is more difficult than traditional surgery; surgeons must be more meticulous when performing MIS than when performing ordinary surgery. Using a robotic arm in an auxiliary role in MIS can reduce the workload of surgeons and increase the precision and efficiency of the surgical procedure. The aim of this article is to design an MIS robot system that can perform automatic surgical suturing. First, we designed the basic control architecture for …

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Motion And Control Simulation For Underwater Robots, Shyh-Kuang Ueng, Chieh-Shih Chou Oct 2020

Motion And Control Simulation For Underwater Robots, Shyh-Kuang Ueng, Chieh-Shih Chou

Journal of Marine Science and Technology–Taiwan

Remotely Operated Vehicles (ROVs) are widely used in underwater explorations and constructions. When navigating under the sea, the motions and stabilities of ROVs are influenced by various forces. Operating ROVs to capture images, grasp samples, avoid obstacles, and examine man-made facilities is challenging. This paper proposes an innovative simulator to train users to handle ROVs. Conventional simulators only can mimic undeformable ROVs. Their educational capabilities are limited. The proposed simulator is developed based on advance mathematics models and is able to emulate a ROV equipped with movable robot arms. Therefore, it can perform more realistic and meaningful simulations to enhance …

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Path Planning And Obstacle Avoidance Of Uav For Cage Culture Inspection, Yi-En Cai, Jih-Gau Juang Oct 2020

Path Planning And Obstacle Avoidance Of Uav For Cage Culture Inspection, Yi-En Cai, Jih-Gau Juang

Journal of Marine Science and Technology–Taiwan

This paper presents path planning and obstacle avoidance of an unmanned aerial vehicle (UAV) for cage culture inspection. The proposed system can automatically inspect cage farming environment that can cut manpower and reduce cost. The problem is similar to travelling salesman problem (TSP). Genetic algorithms are useful techniques for TSP and can also be used for cage culture inspection. In addition to path planning, an improved particle swarm optimization (IPSO) is applied to avoid obstacle between different cages. The IPSO is applicable to both stationary and dynamic environments with one or more obstacles. Simulation results show the effectiveness of the …

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Container Throughput Forecasting For International Ports In Taiwan, Juan Huang, Ching-Wu Chu, Yi-Chen Tsai Oct 2020

Container Throughput Forecasting For International Ports In Taiwan, Juan Huang, Ching-Wu Chu, Yi-Chen Tsai

Journal of Marine Science and Technology–Taiwan

This paper compares different univariate forecasting methods and provides a more accurate short-term forecasting model for container throughput to create a reference for relevant authorities. Six different univariate methods, including the classical decomposition model, the trigonometric regression model, the regression model with seasonal dummy variables, the grey forecasting model, the hybrid grey forecasting model, and the seasonal autoregressive integrated moving average (SARIMA) model, were used. We found that the SARIMA model is a reliable forecasting method for forecasting container throughput with seasonal variations. This study’s findings can help to predict the near-future demand for container throughput at international ports.

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Research On Optimal Configuration Design Method Of Stewart Platform, Xuwei Fan, Lili Yang, Cheng Yu, Xiaoning Zhou, Yexin Zhang Oct 2020

Research On Optimal Configuration Design Method Of Stewart Platform, Xuwei Fan, Lili Yang, Cheng Yu, Xiaoning Zhou, Yexin Zhang

Journal of System Simulation

Abstract: Based on the structural singularity and configuration singularity of parallel mechanism, a safety mechanism design scheme of the Stewart platform is proposed to improve the workspace efficiency and engineering practicability. Taking the Stewart platform without any particularity as the research object, and considering the singular constraints of the structure, a dexterity index is proposed to achieve the optimization of the structural parameters. Analyzing and constructing the kinematics model of the Stewart platform, analyzing the singularities of the configuration bifurcations of 16 typical extreme poses, a secure workspace verification algorithm is proposed to make the whole workspace free of singularity. …

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Research On Adaptive Routing Algorithm For Wireless Weak-Connection Network, Hua Xiang, Hongjuan Yao, Wang Hai, Wang Zhao, Jietao Zhang, Lili Shu Oct 2020

Research On Adaptive Routing Algorithm For Wireless Weak-Connection Network, Hua Xiang, Hongjuan Yao, Wang Hai, Wang Zhao, Jietao Zhang, Lili Shu

Journal of System Simulation

Abstract: The wireless weak-connected network has the characteristics of long delay, high dynamic topology, and unstable links. With the lack of continuity from the source end to the destination end of network connection, in order to solve the problem of communication difficulty, the intelligence and adaptability of Physarum polycephalum are introduced, and the adaptive wireless weak-connected network routing algorithm is proposed. A wireless weak-connected network model is build and the mathematical relationships of link capacity is deduced. The next-hop selection strategy and optimal routing strategy is designed to achieve the best-effort delivery of data in wireless weak-connected network environmrnt. Simulation …

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Visual Feedback Fuzzy Control For A Robot Manipulator Based On Svr Learning, Xianxia Zhang, Jinqiang Zhang, Zhiyuan Li, Shiwei Ma, Banghua Yang Oct 2020

Visual Feedback Fuzzy Control For A Robot Manipulator Based On Svr Learning, Xianxia Zhang, Jinqiang Zhang, Zhiyuan Li, Shiwei Ma, Banghua Yang

Journal of System Simulation

Abstract: A fuzzy controller based on SVR learning is proposed for uncalibrated robot visual servoing. In this paper, a fuzzy controller is used to directly construct the nonlinear mapping between image features and robot joint motion. The fuzzy basis function of the fuzzy controller is taken as the kernel function of an SVR and the equivalent relationship between the SVR and the fuzzy controller is established. The learned support vector from the SVR is used as the rule of the fuzzy controller. Since all rules are learned from the data, there is no need to manually design the rules. …

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Gru-Based Car-Following Behavior Simulation Model, Fei Rong, Liu Fang, Xie Guo, Hei Xinhong, Shasha Li, Hu Bo Oct 2020

Gru-Based Car-Following Behavior Simulation Model, Fei Rong, Liu Fang, Xie Guo, Hei Xinhong, Shasha Li, Hu Bo

Journal of System Simulation

Abstract: The accuracy of acceleration prediction can be effectively improved by the driver's memory in car-following behavior. A new car-following model based on the General Motors (GM) and the gate control unit (GRU) is proposed. The car-following data between small vehicles with similar driving behavior are obtained by data preprocessing. The established model is calibrated by the car-following data, and the optimal parameters and structure of the model are determined. According to car-following characteristics, the effectiveness of model is verified by simulation. It is confirmed that the model has high robustness and improved simulation accuracy comparing with the traditional models.

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