Bicyclist Performance on a Multiuse Trail

1997 ◽  
Vol 1578 (1) ◽  
pp. 127-131 ◽  
Author(s):  
Wayne Pein
Keyword(s):  
Linear Regression ◽  
Video Recording ◽  
Prediction Equation ◽  
Signal Timing ◽  
Recording Equipment ◽  
Pinellas County ◽  
Time Prediction ◽  
Sight Distance ◽  
Crossing Time ◽  
Distance Data

Bicyclist crossing time from a full stop was measured using video recording equipment at 16 diverse trail-roadway intersections (two to six lanes, stop or signal controlled, divided or undivided) of the Pinellas Trail in Pinellas County, Florida. A total of 442 bicyclists (single individuals or randomly selected individuals from a group) were timed. The cruising speed of 65 bicyclists was also determined. A linear regression model was fit to the time and crossing-distance data. A linear regression was also fit to eight 85th percentile crossing-time points that were calculated from grouped raw data. Using kinematic physics, in which bicycle acceleration and intersection crossing velocity are variables, a theoretical equation was derived to predict bicyclist crossing time for any distance. This derived equation is a linear function of distance, so the regression coefficients could then be used to estimate bicyclist crossing velocity and acceleration on the Pinellas Trail. These estimated values for bicyclist acceleration and intersection crossing velocity compare favorably with the scant available data from foreign and domestic sources. Thus, the crossing-time prediction equation can be a useful tool when designing intersections for bicyclists, with application in signal timing and crossing-sight distance calculations.

scholarly journals Risk Scoring System of Mortality and Prediction Model of Hospital Stay for Critically Ill Patients Receiving Parenteral Nutrition

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 853
Author(s):  
Jee-Yun Kim ◽  
Jeong Yee ◽  
Tae-Im Park ◽  
So-Youn Shin ◽  
Man-Ho Ha ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Linear Regression ◽  
Parenteral Nutrition ◽  
Prediction Model ◽  
Scoring System ◽  
Prediction Equation ◽  
Icu Patients ◽  
Risk Scoring ◽  
Risk Scoring System

Predicting the clinical progression of intensive care unit (ICU) patients is crucial for survival and prognosis. Therefore, this retrospective study aimed to develop the risk scoring system of mortality and the prediction model of ICU length of stay (LOS) among patients admitted to the ICU. Data from ICU patients aged at least 18 years who received parenteral nutrition support for ≥50% of the daily calorie requirement from February 2014 to January 2018 were collected. In-hospital mortality and log-transformed LOS were analyzed by logistic regression and linear regression, respectively. For calculating risk scores, each coefficient was obtained based on regression model. Of 445 patients, 97 patients died in the ICU; the observed mortality rate was 21.8%. Using logistic regression analysis, APACHE II score (15–29: 1 point, 30 or higher: 2 points), qSOFA score ≥ 2 (2 points), serum albumin level < 3.4 g/dL (1 point), and infectious or respiratory disease (1 point) were incorporated into risk scoring system for mortality; patients with 0, 1, 2–4, and 5–6 points had approximately 10%, 20%, 40%, and 65% risk of death. For LOS, linear regression analysis showed the following prediction equation: log(LOS) = 0.01 × (APACHE II) + 0.04 × (total bilirubin) − 0.09 × (admission diagnosis of gastrointestinal disease or injury, poisoning, or other external cause) + 0.970. Our study provides the mortality risk score and LOS prediction equation. It could help clinicians to identify those at risk and optimize ICU management.

scholarly journals Ongoing processes of managing consent: the empirical ethics of using video-recording in clinical practice and research

2011 ◽  
Vol 6 (4) ◽  
pp. 179-185 ◽  
Author(s):  
Michelle O'Reilly ◽  
Nicola Parker ◽  
Ian Hutchby
Keyword(s):  
Health Care ◽  
Video Recording ◽  
Empirical Ethics ◽  
Video Data ◽  
Care Practice ◽  
Reflecting Team ◽  
Recording Equipment ◽  
Health Care Practice ◽  
Ethical Concerns ◽  
Sensitive Topics

Using video to facilitate data collection has become increasingly common in health research. Using video in research, however, does raise additional ethical concerns. In this paper we utilize family therapy data to provide empirical evidence of how recording equipment is treated. We show that families made a distinction between what was observed through the video by the reflecting team and what was being recorded onto videotape. We show that all parties actively negotiated what should and should not go ‘on the record’, with particular attention to sensitive topics and the responsibility of the therapist. Our findings have important implications for both clinical professionals and researchers using video data. We maintain that informed consent should be an ongoing process and with this in mind we present some arguments pertaining to the current debates in this field of health-care practice.

Collecting Vehicle-Speed Data by Using Time-Lapse Video Recording Equipment

2003 ◽  
Vol 1855 (1) ◽  
pp. 97-104 ◽  
Author(s):  
Christopher Strong ◽  
Scott Lowry ◽  
Peter McCarthy
Keyword(s):  
Real Time ◽  
Video Recording ◽  
Warning System ◽  
Time Lapse ◽  
Vehicle Speed ◽  
Recording Equipment ◽  
Safety Improvement ◽  
Camera Location ◽  
Message Signs ◽  
Time Lapse Video

An innovative application of time-lapse video recording is used to assist in an evaluation of a highway safety improvement. The improvement is an icy-curve warning system near Fredonyer Summit in northern California that activates real-time motorist warnings via extinguishable message signs, based on weather readings collected from road weather information systems. A measure of effectiveness is whether motorist speed is reduced as a result of real-time warnings to drivers. Why indirect speed measurement with video was preferred over radar for this case is discussed, as is how specific methodological issues related to the custom-built equipment, including camera location and orientation, distance benchmarking, and data collection and reduction. Theoretical and empirical accuracy measurements show that the video surveillance trailers yield results comparable to radar and, hence, would be applicable for studies in which speed change is measured. Because this particular technology had not been used previously, several lessons are documented that may help determine where and how similar equipment may be optimally used in future studies.

Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data

2000 ◽  
Vol 1717 (1) ◽  
pp. 120-129 ◽  
Author(s):  
Jaimyoung Kwon ◽  
Benjamin Coifman ◽  
Peter Bickel
Keyword(s):  
Linear Regression ◽  
Travel Time ◽  
Prediction Errors ◽  
Travel Times ◽  
Travel Time Prediction ◽  
Time Prediction ◽  
Loop Detectors ◽  
Stepwise Variable Selection ◽  
Planning Models ◽  
Current Implementation

An approach is presented for estimating future travel times on a freeway using flow and occupancy data from single-loop detectors and historical travel-time information. Linear regression, with the stepwise-variable-selection method and more advanced tree-based methods, is used. The analysis considers forecasts ranging from a few minutes into the future up to an hour ahead. Leave-a-day-out cross-validation was used to evaluate the prediction errors without underestimation. The current traffic state proved to be a good predictor for the near future, up to 20 min, whereas historical data are more informative for longer-range predictions. Tree-based methods and linear regression both performed satisfactorily, showing slightly different qualitative behaviors for each condition examined in this analysis. Unlike preceding works that rely on simulation, real traffic data were used. Although the current implementation uses measured travel times from probe vehicles, the ultimate goal is an autonomous system that relies strictly on detector data. In the course of presenting the prediction system, the manner in which travel times change from day to day was examined, and several metrics to quantify these changes were developed. The metrics can be used as input for travel-time prediction, but they also should be beneficial for other applications, such as calibrating traffic models and planning models.

Demand Prediction of Cold Chain Logistics Under B2C E-Commerce Model

2018 ◽  
Vol 22 (7) ◽  
pp. 1082-1087 ◽  
Author(s):  
Shen-Xiang Wang ◽  
◽  
Cheng-Yan Wei
Keyword(s):  
Linear Regression ◽  
Goodness Of Fit ◽  
Prediction Equation ◽  
Multivariate Linear Regression ◽  
Cold Chain ◽  
Factors Affecting ◽  
Demand Prediction ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
Logistics Demand

In order to meet the increasing demand, the demand of cold chain logistics under the background of B2C e-commerce mode is predicted, to provide theoretical guidance for the development of cold chain logistics. A multivariate linear regression demand prediction model based on grey relational analysis is proposed. The present situation of cold chain logistics demand is as the basis for the analysis. Using appropriate quantitative analysis method, the factors affecting the demand of cold chain logistics are screened, and the selection principles of logistics demand evaluation index for cold chain products are determined, including product supply, logistics demand scale, and cold chain efficiency and so on. The grey correlation analysis is used to standardize the data sequence and calculate the correlation degree between the factors. The factor of large correlation degree is chosen as the key factor, and the multivariate linear regression prediction equation is constructed. According to the progressive regression idea, the model is amended to improve the goodness of fit of the model. The grey multivariate regression model is applied to predict and analyze the cold chain logistics demand of a fruit product in a certain city. The result shows that the model can predict the demand of cold chain logistics accurately.

Scramble and Crosswalk Signal Timing

1998 ◽  
Vol 1636 (1) ◽  
pp. 83-87 ◽  
Author(s):  
Mark R. Virkler
Keyword(s):  
Field Study ◽  
High Volume ◽  
Signalized Intersections ◽  
Signal Timing ◽  
Pedestrian Flow ◽  
Crossing Time ◽  
Time Required ◽  
Pedestrian Crossing

A variety of methods have been developed for determining appropriate pedestrian crossing times at signalized intersections. Although many of these methods have useful applications, all have significant shortcomings when estimating the crossing time required under high-volume conditions and with two-way flow within a crosswalk. Existing methods are described. A field study conducted to address these shortcomings is then described. The results of the study are used to develop relationships to describe pedestrian flow at signalized crossings. Recommendations are then made to improve the signal timing parameters used for higher-volume pedestrian flows.

scholarly journals THE PSYCHOLOGICAL FEATURES OF A CRIMINAL’S BEHAVIOR (Criminal Code, art. 152-156, 301, 304)

2020 ◽  
Vol 6 (12) ◽  
pp. 57-65
Author(s):  
Liubov Protsyk ◽  
Keyword(s):  
Child Pornography ◽  
Video Recording ◽  
Criminal Code ◽  
Value Orientations ◽  
Legal Consciousness ◽  
Recording Equipment ◽  
Sexual Freedom ◽  
Physical Strength ◽  
Sexual Deviations ◽  
Psychological Features

The article studies of criminals who have committed unlawful acts against children. In particular, the article examines the behavioral characteristics of criminals who have committed offences described in articles 152-156, 301, 304 the Criminal Code of Ukraine, namely: infringe on sexual freedom and sexual inviolability of a child; pornography manufacture, sale or distribution; involvement of minors into criminal activities, drunkenness, begging, gambling. The most common features of criminals who have infringed on sexual freedom and sexual inviolability of a child are: egoism, often turns into egocentrism, when an individual act only to fulfill his/her own interests, desires and inclinations. Criminals by chance and persistent (“evil”) criminals are distinguished. Crimes by chance are predominantly committed under alcoholic intoxication or drug agitation. The persistent type is characterized by persistent aggression, the tendency to resolve conflicts with physical strength, cruelty. People infringing on sexual freedom and sexual inviolability of a child are often also characterized by mental abnormalities of varying degrees. These abnormalities are also revealed in peculiarities of criminals’ value orientations: norms governing sexual relations, humanistic values ​​are ignored by them. Criminals involved in pornography manufacture, sale or distribution of are divided into: pornography authors, manufacturers or distributors. It is almost impossible to detect such criminals; they do not show their sexual deviations in everyday life. A random thing in a frame can become a clue revealing such criminals. Pornography manufacturers have some knowledge and skills in computer technology and in printing industry, own audio and video recording equipment. As for pornography distributors, such people, as a rule, do not suffer from any sexual or mental abnormalities, do not receive obvious satisfaction from being engaged in such activities, and consider their activities only as a job, a way of money earning. As the court practice shows, minors are involved in criminal activities mainly by their family members (parents, siblings, uncles or aunts, and others). Children see criminal examples - drunkenness, fights, begging, etc. - and learn such behavior, consider them as normal or are afraid to complain, so that, join criminals. People consistently involving minors into criminal activities are characterized by developed antisocial features, deformed moral and legal consciousness. The presented criminal types and their behavior are not comprehensive; the article presents only overview.

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