The Analysis of Cars and Pedestrians Collision Based on the PC-Crash Program and MADYMO Simulation

2015 ◽  
Vol 744-746 ◽  
pp. 1949-1952 ◽  
Author(s):  
Hai Bin Li ◽  
Jiang Jiang Li
Keyword(s):  
Modeling And Simulation ◽  
Influencing Factors ◽  
Contact Process ◽  
Vehicle Model ◽  
Contact Phase ◽  
Independent Variables

Based on the coupling of PC-Crash program and MADYMO software, thekinematics laws of pedestrian in the contact process for automobile-pedestrian collision are analyzed through modeling and simulation by establishing vehicle model and pedestrian model, and selecting main influencing factors on contact phase as independent variables for simulation tests.

scholarly journals Analysis of influencing factors for rear-end collision on the freeway

2019 ◽  
Vol 11 (7) ◽  
pp. 168781401986507
Author(s):  
Jianfeng Xi ◽  
Hongyu Guo ◽  
Jian Tian ◽  
Lisa Liu ◽  
Weifu Sun
Keyword(s):  
Influencing Factors ◽  
Significant Influence ◽  
Traffic Accidents ◽  
Influence Factors ◽  
Warning System ◽  
Analysis Model ◽  
Freeway Traffic ◽  
Independent Variables ◽  
Driving Speed ◽  
Fatigue Driving

Rear-end collision accounts for the main type of traffic accidents occurring on the freeway. In order to extract the significant influence factors of rear-end collision on the freeway, this study utilized the data of freeway traffic accidents between 2010 and 2015 in China. First, based on quasi-induced exposure theory, the information of driver, vehicle, and road environment was analyzed. Gender, age, driving age, vehicle safety, load, weather, fatigue, driving speed, road alignment, accident time, and visibility were selected as the important factors that might affect rear-end collision. Second, based on logistic regression model, the influencing factors analysis model of freeway rear-end collision was established. In the regression analysis, the possible important factors selected were taken as the independent variables, and the accident responsibility was taken as the dependent variable. Then, the factors that had significant influence on rear-end collision were selected from candidate independent variables by stepwise regression method. Finally, the specific influence of driving age, load, weather, accident time, visibility, fatigue, and driving speed on rear-end collision occurring on the freeway was discussed. The analysis results were explained according to the odds ratio. The research results of this article can provide guidance for the prevention of rear-end collision on the freeway and theoretical support for the development of freeway early warning system.

The Research on 4WS Vehicle Steering Stability by Modeling and Simulation

2011 ◽  
Vol 403-408 ◽  
pp. 3099-3103
Author(s):  
Dai Sheng Zhang ◽  
Jun Jie Huang ◽  
Hao Wang
Keyword(s):  
Modeling And Simulation ◽  
High Speed ◽  
Steering System ◽  
Vehicle Control ◽  
Control Mode ◽  
Vehicle Design ◽  
Vehicle Stability ◽  
Vehicle Model ◽  
Simulation Research ◽  
Theory Research

In order to improve vehicle steering stability, the influence of tire loads and steering system to the vehicle stability is taken into account in this paper, and the 4WS vehicle model is established and modeling and simulation research is carried through with the Matalab/simulink. The results point out the differences and characters of vehicle control mode in low speed and high speed. This model provides a method for 4WS vehicle design, improvement and optimization, and also provides reference for 4WS theory research and test check.

scholarly journals FAKTOR YANG MEMPENGARUHI HASIL BELAJAR SISWA MENGGUNAKAN ANALISIS DISKRIMINAN MI NURUL IMAN KOTA TANGERANG SELATAN

2021 ◽  
Vol 2 (3) ◽  
pp. 256-266
Author(s):  
Sulaeman Sulaeman
Keyword(s):  
Learning Outcomes ◽  
Influencing Factors ◽  
Discriminant Function ◽  
School Facilities ◽  
Student Learning Outcomes ◽  
Teacher Competence ◽  
Learning Achievement ◽  
Community Environment ◽  
Independent Variables ◽  
Discriminant Model

This study aims to determine what factors influence learning achievement. This study aimed to create a discriminant model of learning achievement from the influencing factors. The object of this research is the students of MI Nurul Iman, South Tangerang City. The variables used are six variables. The dependent variable in this study is the average report card, while the independent variables are motivation (X1), Learning Methods (X2), Teacher Competence (X3), Parental Environment (X3), School Infrastructure (X5), Community Environment (X6), which used as many as 56 samples. Based on the results of the output of the discriminant model using the SPSS version 21 program, it shows that the factors that affect student learning outcomes are School Facilities (X5). The discriminant model formed to determine the discriminant function is from the factors that affect learning achievement. Apart from 1, these variables are not used. Then the following function is obtained: D = -3,980 + 0,369X5

Modeling and Simulation of Medium-Duty Tactical Truck for Fuel Economy Improvement

2010 ◽  
Author(s):  
Y. Gene Liao ◽  
Chih-Ping Yeh ◽  
Allen M. Quail
Keyword(s):  
Modeling And Simulation ◽  
Fuel Economy ◽  
Automatic Transmission ◽  
Vehicle Model ◽  
Model And Simulation ◽  
Vehicle Data ◽  
Experimental Vehicle ◽  
Shift Schedules ◽  
Fuel Economy Improvement ◽  
The Impact

The impact of the vehicle fuel economy in tactical convey is amplified due to the fact that much of the present logistics support is devoted to moving fuel. Fuel economy improvement on medium-duty tactical truck has and continues to be a significant initiative for the U. S. Army. The focus of this study is the investigation and analysis of Automated Manual Transmissions (AMT) that have potential to improve the fuel economy of the 2.5-ton cargo trucks. The current platform uses a seven-speed automatic transmission. This study utilized a combination of on-road experimental vehicle data and analytical vehicle model and simulation. This paper presented the results of (1) establishment of a validated, high fidelity baseline analytical vehicle model, (2) modeling and simulation of two AMTs and their control strategy, and (3) optimization of transmissions shift schedules to minimize the fuel consumption. The fuel economy discrepancy between experimental average and the baseline simulation result was 2.87%. The simulation results indicated a 12.2% and 14.5% fuel economy improvement for the 12-speed and 10-speed AMT respectively.

scholarly journals Analisis Pengaruh Tingkat Pendidikan, Keterampilan, Upah Dan Umur Terhadap Lama Mencari Kerja Pada Tenaga Kerja Terdidik Di Kabupaten Manokwari

2020 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Makaria Mayoni ◽  
Yuyun P. Rahayu ◽  
Marcus R. Maspaitella
Keyword(s):  
Regression Analysis ◽  
Influencing Factors ◽  
Confidence Level ◽  
Level Of Education ◽  
Independent Variables

This study aims to find the variables that most influence the length of time to get a proper job for an educated workforce. Some influencing factors based on previous research which are used as independent variables include the level of education, skills, wages and age. This research hypothesises is that simultaneously and partially, the four variables affect the length of time seeking for a job. A regression analysis had been conducted to prove this hypothesis. This research used 100 educated labour as respondents in Manokwari Regency. The result shows that simultaneously, at a 90% confidence level, all independent variables influence the length of time looking for a job. Meanwhile, partially, only the skill variable significantly influences it.

scholarly journals A Quest for Beauty

2021 ◽  
pp. 56-60
Author(s):  
Thomas Jacobsen
Keyword(s):  
Experimental Design ◽  
Influencing Factors ◽  
Functional Neuroimaging ◽  
Aesthetic Judgment ◽  
Point Of View ◽  
Independent Variables ◽  
Neuroimaging Study ◽  
Selection Of

In this chapter, the functional neuroimaging study of aesthetic judgment of beauty, reported in Jacobsen and colleagues, is reviewed from the experimenters’ point of view. Based on a framework for the psychology of aesthetics, the multifactorial determination of aesthetic judgment is discussed, along with implications for experimental design in neuroaesthetics. The selection of dependent and independent variables, as well as the control of influencing factors on aesthetic judgment, are discussed with respect to the design of the particular study. The 2006 study is also discussed with respect to contemporary neurocognitive psychology of aesthetics or neuroaesthetics.

scholarly journals A Panel Regression Analysis for the COVID-19 Epidemic in the United States: From the Quarantine Policy and Environmental Perspective

2021 ◽  
Author(s):  
Yinpei Guo ◽  
Bo Li ◽  
Tonghua Duan ◽  
Nan Yao ◽  
Han Wang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Incidence Rate ◽  
Influencing Factors ◽  
Data Model ◽  
The United States ◽  
Linear Regression Method ◽  
Research Subjects ◽  
Independent Variables ◽  
At Home

Abstract Background. The COVID-19 epidemic has had an extreme impact on society. This study aimed to discuss this epidemic in the U.S. and explore the association between COVID-19 daily incidence rate and influencing factors including people’s implementation of states’ quarantine policy and environmental factors including temperature, humidity and so on.Methods. Data of 50 states in U.S. were used as the research subjects. A panel data model was established based on the daily incidence rate and influencing factors from 15 March to 30 September, 2020. The period was analyzed both unsegmented and segmented. The k-means clustering method was used to cluster the states, and panel linear regression method was used for correlation analysis.Results. The characteristics of the daily incidence rate and factors of the three categories were different after clustering. The daily residents at home, proportion of travel people, humidity and incidence rate were negatively correlated, while the daily temperature and incidence rate were positively correlated after unsegmented multivariate analysis. While after segmented analysis, the air pressure and the temperature showed a trend that was negatively correlated with the daily incidence rate respectively in the first and the fifth segment, other indicators showed the analogous results. At the same time, this study also completed the regression analysis after classification of the three groups. Compared with results without classification, there was a decrease of the number of significant independent variables.Conclusions. The spread of COVID-19 in 50 states in U.S. was related to quarantine measures, temperature and humidity. The progress of the epidemic would be relatively slow if people chose to stay at home. Besides, the increase in temperature (＜84.2℉) could be conducive to the spread of the epidemic, while the increase in relative humidity (40~70%) might inhibit the spread of the virus to a certain degree.

scholarly journals Identification of Independent Variables to Assess Green-Building Development in China Based on Grounded Theory

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3354
Author(s):  
Ying Zhang ◽  
Jian Kang ◽  
Hong Jin
Keyword(s):  
Sustainable Development ◽  
Grounded Theory ◽  
Influencing Factors ◽  
Green Building ◽  
Living Environment ◽  
General Direction ◽  
Factors Affecting ◽  
Independent Variables ◽  
The People ◽  
The Relationship

Background: Development of green building as future buildings has become a trend and played a significant role in changing the general direction of building development and creating an environment for sustainable development ’People-centric’ explores the relationship between people and building development. From the perspective of users, what are the influencing factors of green building? What is the relationship between independent variables? The authors link this issue to the development of green building and gaining a clearer understanding and direction. Methods: The authors applied grounded theory and intensity sampling to analyse the relationships of independent variables. Results: The findings of this study reveal the four core factors affecting how independent variables get to learn about green building, which are ‘personal perception elements’, ‘social elements’, ‘organisational elements’, and ‘architectural properties’. Conclusions: The authors also analysed the relationships between the independent variables to explore construction theory for helping green building better respond to people’s demand and pushing forward its development. In this case, the ’people-centric’ green building further improves the urban living environment.

scholarly journals Dynamic analysis of detumbling a rotating satellite using flexible deceleration rod

2021 ◽  
Author(s):  
Honghua Dai ◽  
Hao Chen ◽  
Xiaokui Yue
Keyword(s):  
Dynamic Analysis ◽  
Large Deformation ◽  
High Efficiency ◽  
Contact Point ◽  
Contact Process ◽  
Solar Array ◽  
Step Method ◽  
Contact Phase ◽  
Operating Process ◽  
Tumbling Motion

Abstract Malfunctioning satellites are generally non-cooperative tumbling objects. Due to their complex tumbling motion, it is essential to stabilize the target within an acceptable rotating range in the pre-capture phase. In contrast to contactless methods, contact methods based on flexible devices are efficient and can generate sufficient operating torque through flexible contact. However, accurate dynamic analysis of the operation is challenging because of two limitations. It is difficult to obtain a high-efficiency description of the large deformation arising from the operating process. Moreover, the contact between a flexible device and a tumbling object is hard to detect efficiently. This paper proposes a method for detumbling a free-floating rotating satellite; it uses a flexible rod to contact the solar array of the target. The absolute nodal coordinate formulation is first applied to a rod-contact detumbling model in simulation to describe the large deformation of the rod precisely with a low computational burden. Next, a two-step method to detect the contact is employed to pinpoint the contact point and speed up the simulation: coarse detection in the contactless phase and fine detection in the contact phase. Finally, the feasibility of the contact detumbling method is verified. In addition, through the further analysis of the contact process, some characteristics of this kind of strategy are studied for the first time.

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