scholarly journals Pengaruh Petugas Tidak Resmi Terhadap Lalu Lintas Pada Simpang Tiga Bersinyal di Jl. Kaliurang KM.8 Yogyakarta

2021 ◽  
Vol 5 (2) ◽  
pp. 91-100
Author(s):  
Prima Romadhona ◽  
Umi Nur Chasanah
Keyword(s):  
Queue Length ◽  
Driving Behavior ◽  
Vehicle Speed ◽  
Average Delay ◽  
Modeling Analysis ◽  
The Impact ◽  
Better Than

The congestion at the PLN intersection Kaliurang street Km 8 is the reason of Unofficial Officers or so-called "Pak Ogah" act as traffic regulators or assist in the movement of driving from minor roads to major roads. Therefore, the objective of the study was to determine the impact of Unofficial Officers on the performance of intersections. The survey was conducted for 3 days which were volume survey, a survey of vehicle speed, driving behavior, and length of the queue. VISSIM modeling analysis results showed that using signals was better than existing conditions with a decrease in the average delay value of 18.44% and a decrease in the average queue length of 80.34%. Meanwhile, the condition of intersections with unofficial officers decreased by an average delay of 22.10% compared to existing conditions. However, the average queued length by unofficial officers increased by 22.54% compared to existing conditions. Although the results of delays with Unofficial Officers were better than other conditions, arrangements by unofficial officers had many conflicts, creating the risk of accidents at the intersection.

scholarly journals An Improved ARED Algorithm for Congestion Control of Network Transmission

2010 ◽  
Vol 2010 ◽  
pp. 1-14 ◽  
Author(s):  
Jianyong Chen ◽  
Cunying Hu ◽  
Zhen Ji
Keyword(s):  
Early Detection ◽  
Stability Condition ◽  
Queue Length ◽  
Chaos Control ◽  
Computer Network ◽  
Random Early Detection ◽  
Queue Size ◽  
Average Delay ◽  
Network Transmission ◽  
Better Than

In order to achieve high throughput and low average delay in computer network, it is necessary to stabilize the queue length and avoid oscillation or chaos phenomenon. In this paper, based on Adaptive Random Early Detection (ARED), an improved algorithm is proposed, which dynamically changes the range of maximum drop probabilitypmaxaccording to different network scenarios and adjustspmaxto limit average queue sizeqavein a steady range. Moreover, exponential averaging weightwis adjusted based on linear stability condition to stabilizeqave. A number of simulations show that the improved ARED algorithm can effectively stabilize the queue length and perform better than other algorithms in terms of stability and chaos control.

scholarly journals Analisis Dampak Lalulintas Exit Tol Jatikarya Terhadap Jalan Transyogi Cibubur Jawa Barat (Tol Cimanggis-Cibitung)

2018 ◽  
Author(s):  
Darmadi Ir
Keyword(s):  
Traffic Management ◽  
Impact Analysis ◽  
Traffic Density ◽  
Vehicle Speed ◽  
Average Speed ◽  
Toll Road ◽  
Traffic Conditions ◽  
Modeling Analysis ◽  
Traffic Impact ◽  
The Impact

Transyogi Road is the main road used by transportation originating from the Depok city, Bogor district, Bekasi city and Bekasi district. The Transyogi Road and the networks connected to it have experienced a significant increase in traffic density each year, this fact is based on the indicator level of the VC ratio on the Transyogi and surrounding road segments which have reached 0.8 at busy times. With the increase in trips generated from Bekasi Regency and an increase in residential density in Depok and Bogor, it has the potential to increase generation and the traffic attraction from and to the area is affecting by the construction of the Cimanggis - Cibitung toll road. This Traffic Impact Analysis aims to predict the impact of the construction of the Cimanggis - Cibitung Toll Road on the Jatikarya exit, and determine the form of improvement needed, harmonize the decisions regarding land use with traffic conditions, the number and location of access, and alternative improvements . This study method uses 4 (four) transportation modeling, analysis of road capacity, vehicle speed .. From the results of this study, it was concluded that before the toll road the Transyogi road had a performance with a V / C ratio of 0.8 and an average speed of 20 km / hour (if do nothing), while after the exit of the jatikarya toll was operated the V / C ratio was 0.7 and the average speed is 23 km / h (do nothing). While the performance of Transyogi road in the design year 2025 without performing geometric improvements (do nothing) has a road performance with a V / C ratio of 0.98 and an average speed of 12-13 km / hr. While if performance changes are made with capacity building traffic management arrangements, predictive traffic conditions in 2025 traffic performance will be obtained with a v / c ratio of an average of 0.7 with an average speed of 26 km / hour (do something).

Implementasi Voip Server Berbasis IPV6 Dengan Raspberry PI

2019 ◽  
Vol 9 (01) ◽  
pp. 47-54
Author(s):  
Rabbai San Arif ◽  
Yuli Fitrisia ◽  
Agus Urip Ari Wibowo
Keyword(s):  
Internet Protocol ◽  
Wireless Transmission ◽  
Raspberry Pi ◽  
Test Results ◽  
Average Delay ◽  
Ipv6 Network ◽  
Ip Network ◽  
Selection Of ◽  
Better Than

Voice over Internet Protocol (VoIP) is a telecommunications technology that is able to pass the communication service in Internet Protocol networks so as to allow communicating between users in an IP network. However VoIP technology still has weakness in the Quality of Service (QoS). VOPI weaknesses is affected by the selection of the physical servers used. In this research, VoIP is configured on Linux operating system with Asterisk as VoIP application server and integrated on a Raspberry Pi by using wired and wireless network as the transmission medium. Because of depletion of IPv4 capacity that can be used on the network, it needs to be applied to VoIP system using the IPv6 network protocol with supports devices. The test results by using a wired transmission medium that has obtained are the average delay is 117.851 ms, jitter is 5.796 ms, packet loss is 0.38%, throughput is 962.861 kbps, 8.33% of CPU usage and 59.33% of memory usage. The analysis shows that the wired transmission media is better than the wireless transmission media and wireless-wired.

scholarly journals Advertising Media Impact in Consumer Buying Behavior

2019 ◽  
Vol 8 ◽  
pp. 54-56
Author(s):  
Ashmita Dahal Chhetri
Keyword(s):  
Consumer Behavior ◽  
Young Male ◽  
Electronic Media ◽  
Buying Behavior ◽  
Media Impact ◽  
High Degree ◽  
The Impact ◽  
Buying Behaviors ◽  
The Relationship ◽  
Better Than

Advertisements have been used for many years to influence the buying behaviors of the consumers. Advertisements are helpful in creating the awareness and perception among the customers of a product. This particular research was conducted on the 100 young male and female who use different brands of product to check the influence of advertisement on their buying behavior while creating the awareness and building the perceptions. Correlation, regression and other statistical tools were used to identify the relationship between these variables. The results revealed that the relationship between media and consumer behavior is positive. The adve1tising impact on sales and there is positive and high degree relationship between advertising and consumer behavior. The impact on advertising of a product of electronic media is better than non-electronic media.

Lateral obstacle avoidance control based on driving behavior recognition of the preceding vehicles in adjacent lanes

2020 ◽  
Vol 68 (10) ◽  
pp. 880-892
Author(s):  
Youguo He ◽  
Xing Gong ◽  
Chaochun Yuan ◽  
Jie Shen ◽  
Yingkui Du
Keyword(s):  
Obstacle Avoidance ◽  
Lateral Displacement ◽  
Longitudinal Velocity ◽  
Driving Behavior ◽  
Lateral Acceleration ◽  
Lateral Motion ◽  
Behavior Recognition ◽  
Dynamic Surface ◽  
Lane Changing ◽  
The Impact

AbstractThis paper proposes a lateral lane change obstacle avoidance constraint control simulation algorithm based on the driving behavior recognition of the preceding vehicles in adjacent lanes. Firstly, the driving behavior of the preceding vehicles is recognized based on the Hidden Markov Model, this research uses longitudinal velocity, lateral displacement and lateral velocity as the optimal observation signals to recognize the driving behaviors including lane-keeping, left-lane-changing or right-lane-changing; Secondly, through the simulation of the dangerous cutting-in behavior of the preceding vehicles in adjacent lanes, this paper calculates the ideal front wheel steering angle according to the designed lateral acceleration in the process of obstacle avoidance, designs the vehicle lateral motion controller by combining the backstepping and Dynamic Surface Control, and the safety boundary of the lateral motion is constrained based on the Barrier Lyapunov Function; Finally, simulation model is built, and the simulation results show that the designed controller has good performance. This active safety technology effectively reduces the impact on the autonomous vehicle safety when the preceding vehicle suddenly cuts into the lane.

scholarly journals Locking down the Impact of New Zealand’s COVID-19 Alert Level Changes on Pets

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 758
Author(s):  
Fiona Esam ◽  
Rachel Forrest ◽  
Natalie Waran
Keyword(s):  
New Zealand ◽  
Separation Anxiety ◽  
National Surveys ◽  
Normal Life ◽  
Pet Owners ◽  
Level 1 ◽  
The Impact ◽  
Better Than

The influence of the COVID-19 pandemic on human-pet interactions within New Zealand, particularly during lockdown, was investigated via two national surveys. In Survey 1, pet owners (n = 686) responded during the final week of the five-week Alert Level 4 lockdown (highest level of restrictions—April 2020), and survey 2 involved 498 respondents during July 2020 whilst at Alert Level 1 (lowest level of restrictions). During the lockdown, 54.7% of owners felt that their pets’ wellbeing was better than usual, while only 7.4% felt that it was worse. Most respondents (84.0%) could list at least one benefit of lockdown for their pets, and they noted pets were engaged with more play (61.7%) and exercise (49.7%) than pre-lockdown. Many respondents (40.3%) expressed that they were concerned about their pet’s wellbeing after lockdown, with pets missing company/attention and separation anxiety being major themes. In Survey 2, 27.9% of respondents reported that they continued to engage in increased rates of play with their pets after lockdown, however, the higher levels of pet exercise were not maintained. Just over one-third (35.9%) of owners took steps to prepare their pets to transition out of lockdown. The results indicate that pets may have enjoyed improved welfare during lockdown due to the possibility of increased human-pet interaction. The steps taken by owners to prepare animals for a return to normal life may enhance pet wellbeing long-term if maintained.

The Impact of Between-Wave Engagement Strategies on Response to a Longitudinal Survey

2015 ◽  
Vol 57 (4) ◽  
pp. 533-554 ◽  
Author(s):  
Andrew Cleary ◽  
Nigel Balmer
Keyword(s):  
Longitudinal Survey ◽  
Longitudinal Surveys ◽  
Face To Face ◽  
Participant Engagement ◽  
Engagement Strategies ◽  
Design Attributes ◽  
New Research ◽  
The Impact ◽  
Better Than

Maintaining participant engagement in longitudinal surveys has been a key focus of survey research, and has implications for the quality of response and cost of administration. This paper presents new research measuring the impact of the design of between-wave keeping-in-touch mailings on response to the mailing and subsequent wave of a longitudinal survey. Three design attributes of the mailings were randomly implemented: the form of response request (whether respondents were asked to respond only if their address had changed, or in all cases to confirm or update their address); the newsletter included with the mailing (contrasting a newsletter with content tailored to respondent characteristics with a general newsletter and no newsletter); and the outgoing postage used (stamped or franked). The experiments were fielded on a new longitudinal study, the English and Welsh Civil and Social Justice Panel Survey (CSJPS), and took place between waves one and two. Fieldwork for both waves was conducted by Ipsos MORI face-to-face interviewers. Our main finding was that the tailored newsletter was associated with a significant increase in the wave-two response rate. However, in relation to response to the request, the tailored newsletter, or sending no newsletter at all, were equally effective at inducing response, and significantly better than the general newsletter. We also found that, in relation to the form of request, the ‘change of address’ request was as effective as the more costly ‘confirmation’ request. Findings are discussed with reference to the design of keeping-in-touch mailings for longitudinal surveys.

The Impact of a Community Supervision Officer Training Program on Client Outcomes: A Propensity Score Modeling Analysis by Officer Training Dosage

2020 ◽  
pp. 009385482098078
Author(s):  
Ryan M. Labrecque ◽  
Jill Viglione
Keyword(s):  
Staff Training ◽  
Community Supervision ◽  
Client Outcomes ◽  
Officer Training ◽  
Evidence Based Practices ◽  
Technical Violations ◽  
Modeling Analysis ◽  
Standard Training ◽  
The Impact ◽  
Training Dosage

A growing body of research indicates officer training in correctional supervision programs is associated with improved use of evidence-based practices and lower rates of client recidivism. This scholarship also suggests larger reductions in recidivism can be achieved when officers implement program skills with higher quality. Despite their potential, research has shown standard training regiments alone are not sufficient in making all participants proficient users of skills. There is a need to determine what intensity of training produces the best results. In response, this study assessed the impact of federal probation officer training dosage in the Staff Training Aimed at Reducing Re-arrest (STARR) program on the outcomes of their clients. The results indicated clients of STARR-trained officers had fewer probation revocations and new arrests but more technical violations and positive drug tests. We also found clients supervised by officers with more versus less exposure to the STARR model had better outcomes.

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