scholarly journals ANALYSIS AND MODELING TIME HEADWAY DISTRIBUTIONS UNDER HEAVY TRAFFIC FLOW CONDITIONS IN THE URBAN HIGHWAYS: CASE OF ISFAHAN

Transport ◽  
2012 ◽  
Vol 26 (4) ◽  
pp. 375-382 ◽  
Author(s):  
Sayyed Mahdi Abtahi ◽  
Mohammad Tamannaei ◽  
Hosein Haghshenash
Keyword(s):  
Traffic Flow ◽  
Heavy Traffic ◽  
Distribution Analysis ◽  
Distribution Models ◽  
Chi Square ◽  
Time Headway ◽  
Headway Distribution ◽  
Chi Square Test ◽  
Lane Position ◽  
Highway Facilities

The time headway of vehicles is an important microscopic traffic flow parameter which affects the safety and capacity of highway facilities such as freeways and multi-lane highways. The present paper intends to provide a report on the results of a study aimed at investigating the effect of the lane position on time headway distributions within the high levels of traffic flow. The main issue of this study is to assess the driver's behavior at different highway lanes based on a headway distribution analysis. The study was conducted in the city of Isfahan, Iran. Shahid Kharrazi six-lane highway was selected for collecting the field headway data. The under-study lanes consisted of passing and middle lanes. The appropriate models of headway distributions were selected using a methodology based on Chi-Square test for each lane. Using the selected models, the headway distribution diagrams were predicted for high levels of traffic flow in both the passing and middle lanes and the relationship between statistical criteria of the models and the driver's behaviors were analyzed. The results certify that the appropriate model for the passing lane is different than the one for the middle lane. This is because of a different behavioral operation of drivers which is affected by specific conditions of each lane. Through car-following conditions in the passing lane, a large number of drivers adopt unsafe headways. This shows high risk-ability of driver population which led to considerably differences in capacities and statistical distribution models of two lanes.

Queue-Based Headway Distribution Models at Signal Controlled Intersection under Mixed Traffic

2020 ◽  
Vol 2674 (11) ◽  
pp. 768-778
Author(s):  
Satyajit Mondal ◽  
Ankit Gupta
Keyword(s):  
Traffic Flow ◽  
Statistical Significance ◽  
Flow Analysis ◽  
Continuous Distribution ◽  
Statistical Investigation ◽  
Generation Process ◽  
Mixed Traffic ◽  
Distribution Models ◽  
Headway Distribution ◽  
Vehicle Position

Headway of vehicles during platoon dispersion at signalized intersection is one of the critical microscopic traffic characteristics in traffic flow theory. The distribution of the discharge headways of vehicles also has a significant impact on the traffic generation process in most of the microsimulation approaches. However, few studies have investigated the vehicle discharge headway for interrupted flow at signalized intersections under mixed traffic conditions. The present study uses data collected from 20 intersections in six cities for comprehensive analysis of discharge headway. A box-and-whiskers plot is generated for discharge headway to quantify its reasonable profile. The diagram shows that headway of vehicles decreases with the queue dispersion. A stable headway can be observed after the fifth vehicle position of a queue, giving a saturation headway of 2.05 s per vehicle. Six types of continuous distribution are tested to model the discharge headway distribution. A statistical investigation is also performed to verify the best-fitted model for each vehicle position in a queue. The ranking of a best-fitted distribution is done for each vehicle position as per the statistical significance. This study demonstrates the discharge headway characteristics and distribution at each vehicle position, which can be useful for traffic flow analysis and especially for improving microsimulation models.

Ground Motion Distribution Analysis about Taipei-101 in Earthquake

2013 ◽  
Vol 671-674 ◽  
pp. 1346-1350
Author(s):  
Zhao Lu ◽  
Ren Yu Zuo ◽  
Xiang Ruan
Keyword(s):  
Seismic Hazard ◽  
Ground Motion ◽  
Hazard Analysis ◽  
Tall Building ◽  
Seismic Hazard Analysis ◽  
Earthquake Catalog ◽  
Distribution Analysis ◽  
Chi Square ◽  
Chi Square Test ◽  
Taipei 101

It is important for tall building to infer seismic hazard analysis. Recently, researchers paid great efforts to study the seismic hazard analysis using the method of probabilistic seismic hazard analysis (PSHA), and PSHA has been proved to be sound and popular. The PSHA method is not new. However, the use of PSHA in China is not extensive. The purpose of this paper is to explore the use of ground motion distribution analysis about one typical tall building Taipei-101. Based on the earthquake catalog around Taiwan with more than 50,000 events over 100-years of recording, the author takes Taipei-101’s geographic coordination as object to do ground motion distribution analysis. The research shows that ground motion is affected significantly by service year, and the chi-square test applied in testing Annual ground motion distribution better than K-S test, In addition, Bernoulli distribution is verified reasonable in evaluating the entire service year ground motion distribution.

scholarly journals Analysis Young Driver Behavior in “Z” Generation

2020 ◽  
Vol 1 (3) ◽  
pp. 56-60
Author(s):  
Khusnul Khotimah ◽  
Yogi Arisandi
Keyword(s):  
Traffic Accidents ◽  
Heavy Traffic ◽  
Chi Square ◽  
Young Driver ◽  
The Road ◽  
Generation Z ◽  
Chi Square Test ◽  
Driver Error ◽  
Influential Variable ◽  
The Right

The magnitude of the cause of the accident due to driver error causes the need to do an analysis related to the characteristics of the driver and the factors that most influence the cause of the accident and then the road. At this time the young driver is in generation Z who has an age between 16-21 years. Then an analysis of the characteristics of the causes of traffic accidents, especially in the "Z" generation of drivers by using the driver simulator "Teknosim" and the results of the analysis of observations through crosstab models and chi square test to the influential variable. Obtained the characteristics of the generation driver "Z" in low traffic tend to move lane under the right conditions, brake suddenly with very minimal dexterity, this causes collisions with other vehicles with a very short reaction time without agility of 0.012 minutes, and not yet can improve how to drive and can not prevent wasteful consumption of fuel even in traffic that is not dense with Asymp.Sig values. (2-sided) in the amount of 0.010 - 0.014. In heavy traffic conditions, the "Z" Generation driver has the characteristic of tapping the horn and tends to brake suddenly with a very small braking distance or too close to the vehicle in front of him and very minimal dexterity with the Asymp.Sig value. (2-sided) in the amount of 0.014 - 0.017.

Multivariate analysis of determinant factors in adjuvant chemotherapy (AC) utilization in patients with stage II colon cancer (CC): Analysis of the National Cancer Database (NCDB).

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 577-577
Author(s):  
Donny V. Huynh ◽  
Shiva Kumar Reddy Mukkamalla ◽  
Ponnandai Sadasivan Somasundar ◽  
Ritesh Rathore
Keyword(s):  
Logistic Regression ◽  
Multivariate Analysis ◽  
Single Agent ◽  
Stage Ii ◽  
Distribution Analysis ◽  
Multiple Logistic Regression ◽  
Chi Square ◽  
Primary Tumors ◽  
Chi Square Test ◽  
Multi Agent

577 Background: Evidence from randomized controlled trials does not support routine use of AC for patients with stage II CC. Clinical guidelines recommend discussion of AC in patients with high-risk disease. In our study, we analyzed NCDB data to determine factors favoring the use of AC in this setting. Methods: NCDB data was extracted on a total of 45,098 patients from 2004 to 2009 with stage II CC. Descriptive characteristics were analyzed using Chi-square test and odds ratios were calculated using multiple logistic regression. Results: Frequency of AC was significantly different among patients belonging to different age groups, tumor laterality, grade, pathologic tumor status (pT), and clinical nodal status (cN) (Chi-square test; p < 0.0001). Age distribution analysis revealed higher frequency of AC administration among patients of 18-64 years compared to those of 65-74 years and older, irrespective of single-agent or multi-agent regimens (p < 0.0001). Multivariate analysis was performed using multiple logistic regression technique. The odds of AC administration increased with increasing pT status, worsening tumor grade, and inadequate lymph node dissection ( < 12 lymph nodes evaluated) (p < 0.0001). AC administration was also more likely with left sided primary tumors (p < 0.0001). Conclusions: Using NCDB data, our analysis reveals conventional factors which are associated with AC administration in patients with resected stage II CC. Use of single-agent vs. multi-agent regimens did not differ, though elderly patients and those without left sided tumors were less likely to receive AC. Oncologists should be able to utilize these findings in discussions with stage II CC patients regarding the use of AC. [Table: see text]

Hubungan Antara Menyusui Dengan Involusi Uterus Pada Ibu Nifas Fisiologis Di RSIA Aura Syifa Kabupaten Kediri

1970 ◽  
Vol 5 (2) ◽  
pp. 64
Author(s):  
Eny Sendra ◽  
Dewi Indriani
Keyword(s):  
Breast Feeding ◽  
Sampling Technique ◽  
Chi Square ◽  
Cross Sectional ◽  
Fisher Test ◽  
Key Word ◽  
Chi Square Test ◽  
The Moment

Breast feeding is giving milk to be drunk to the baby from the breast. Uterus involution is a process how the uterus return to the condition back, before pregnanting after bearing. At the moment of suckling, happens a stimulus and brings the hormones out, such as oksitosin uses not only to stimulate some muscles constraction but also to stimulate the uterus, so that the process of uterus involution happens foster. According to the explanations above, the research aimed to know about the correlation between breast feeding and uterus involution. This research’s design was, cross sectional by the population of all childbirth mothers approximately 50 persons / month. By using accidental sampling technique we got 21 sample respondents. The place of research in RSIA Aura Syifa in Kediri Regency on 16th until 22nd of June 2009. From this research’s result, we got 14 persons (66,67%) with normal uterus involution, suckled in a good way, one person (4,67%) with normal uterus involution, suckled in a wrong way, 2 persons (9,52%) with abnormal uterus involution, suckled in a good way and 4 persons (19,05%) with abnormal uterus involution, suckled in a wrong way. Statistic test which used chi-square test, counted the probability frequency in advance, from that we got 3 columns with the score, less than 5, so that chi-square can not be continued and by doing exact fisher test, the score was 0,001. Because P with the grade mistake 0,05 smaller, so the conclusion was “Ho” is rejected, it meant “there was correlation between suckling and uterus involution”. Key Word : Breast feeding, uterus involution

FAKTOR PERSONAL YANG BERHUBUNGAN DENGAN KOMITMEN ORGANISASI PERAWAT RSUD EMBUNG FATIMAH BATAM

2020 ◽  
Vol 5 (3) ◽  
pp. 875
Author(s):  
Asfri Sri Rahmadeni
Keyword(s):  
Organizational Commitment ◽  
Turnover Rate ◽  
Sampling Technique ◽  
Hospital Nurses ◽  
Test Results ◽  
Personal Factors ◽  
High Turnover ◽  
Chi Square ◽  
Cross Sectional ◽  
Chi Square Test

<p class="Normal1"><em>Commitment is the attitude or behavior of likes or dislikes shown by someone against the organization at work. Indonesia is recorded as a nurse who has a low organizational commitment (76%) so it harms services. This phenomenon in the hospital can be seen from the indicator of the high turnover rate of nurses which reaches 30.9% which exceeds the standard &lt;5%. Many factors affect organizational commitment. The purpose of this study was to analyze the Personal Factors Associated with Organizational Commitment of Hospital Nurses. This study is a cross-sectional analytic study and purposive sampling technique with a sample of 59 nurses. Chi-Square test results obtained personal factors that have a relationship with organizational commitment Nurse Hospital is age with p = 0,000 and education with p = 0,000, personal factors not related to organizational commitment are gender p = 1,053 and years of service with p = 1,147. Hospitals should conduct research/surveys on Organizational Commitment periodically as an evaluation material in the context of the organization's development and development in the future</em>.</p>

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