High volume bus stop upstream average waiting time for working capacity and quality of service

2018 ◽  
Vol 10 (2) ◽  
pp. 311-333 ◽  
Author(s):  
Jonathan M. Bunker
Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Vee-Liem Saw ◽  
Luca Vismara ◽  
Lock Yue Chew

We study how N intelligent buses serving a loop of M bus stops learn a no-boarding strategy and a holding strategy by reinforcement learning. The no-boarding and holding strategies emerge from the actions of stay or leave when a bus is at a bus stop and everyone who wishes to alight has done so. A reward that encourages the buses to strive towards a staggered phase difference amongst them whilst picking up passengers allows the reinforcement learning process to converge to an optimal Q-table within a reasonable amount of simulation time. It is remarkable that this emergent behaviour of intelligent buses turns out to minimise the average waiting time of commuters, in various setups where buses move with the same speed or different speeds, during busy as well as lull periods. Cooperative actions are also observed, e.g., the buses learn to unbunch.


2015 ◽  
Vol 8 (1) ◽  
pp. 143 ◽  
Author(s):  
Saeed Amina ◽  
Ahmad Barrati ◽  
Jamil Sadeghifar ◽  
Marzeyh Sharifi ◽  
Zahra Toulideh ◽  
...  

<p><strong>BACKGROUND</strong><strong> </strong><strong>&amp;</strong><strong> </strong><strong>AIMS:</strong> Measuring and analyzing of provided services times in Emergency Department is the way to improves quality of hospital services. The present study was conducted with aim measuring and analyzing patients waiting time indicators in Emergency Department in a general hospital in Iran.</p> <p><strong>MATERIAL</strong><strong> </strong><strong>&amp;</strong><strong> </strong><strong>METHODS:</strong> This cross-sectional, observational study was conducted during April to September 2012. The study population consisted of 72 patients admitted to the Emergency Department at Baharlo hospital. Data collection was carried out by workflow forms. Data were analyzed by t.<strong> </strong>test and ANOVA.</p> <p><strong>RESULTS:</strong> The average waiting time for patients from admission to enter the triage 5 minutes, the average time from triage to physician visit 6 minute and the average time between examinations to leave ED was estimated 180 minutes. The total waiting time in the emergency department was estimated at about 210 minutes. The significant<strong> </strong>correlation between marital status of patients (P=0.03), way of arrive to ED (P=0.02) and type of shift work (P=0.01) with studied time indicators were observed.</p> <p><strong>CONCLUSION:</strong> According to results and comparing with similar studies, the average waiting time of patients admitted to the studied hospital is appropriate. Factors such as: Utilizing clinical governance system and attendance of resident Emergency Medicine Specialist have performed an important role in reducing of waiting times in ED.</p>


2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Siti Maghfiroh ◽  
Ratna Puji Priyanti ◽  
Alik Septian Mubarrok

Introduction: Waiting time and length of stay ( LOS ) is one of indicators the quality of service in emergency room (ER ) that affects satisfaction patients, where speed and the accuracy is the essence service in ER. Research aims to understand the relations of waiting time and LOS with satisfaction patients in of emergency room Jombang general hospital. Method: This research using correlational design with cross sectional approached. The technique sampling is accidental sampling. The population were 1.204 people. And the sample size 60 people. Data collection used a questionnaire for measuring satisfaction patients and observation stopwatch a use for measuring waiting time and LOS. Data analyzed by statistical tests the spearman rank. Result: The results of the study obtained 31 people ( 51.7 % ) of respondents with waiting time slow, 24 people ( 40,0 % ) of respondents with los slow, while for the satisfaction of patients 31 people ( 51.7 % ) of a patient is satisfied with service. Statistical tests the spearman rank showsed that waiting time with satisfaction obtained  r value = 0,666, p value = 0,000. To LOS with satisfaction the r value = 0,350, p value = 0,006. There is a significant relation exists between waiting time and LOS with satisfaction patients. Discussion: Waiting time and LOS significant correlated with satisfaction patients in ER Jombang general hospital. The ER in Jombang general hospital is expected to have strong commitment, to give priority to the quality of service and interests of patients. Health workers is expected to give rapid service, right and respond to the problem of patients. And advanced research required about satisfaction patients in ER and the supporting factors.


Simulation is a method that using especially waiting line systems. In this study, a simulation study has made for waiting line systems by C programming. The particular queue will be a place where customers are waiting for service behind each other. For the purpose of this study, a simulation in C language is created in order to simulate the aforementioned queue system. With this simulation, it is aimed to increase customers’ satisfaction by decreasing service cost, and to increase the quality of service with minimum waiting time. Considering alternative solutions, the optimal system is obtained to ensure economical stability between the interests of the customers and the management.


2019 ◽  
Vol 1 (1) ◽  
pp. 125
Author(s):  
Seri Warsih

This study aims to determine the effect of waiting time, price and quality of service to customer satisfaction and analyze the most dominant variable affecting consumer satisfaction. Based on the results of this study is expected to realize the management of companies more effective and efficient. Population in this research is all passengers who use flight service from XYZ terminal terminal 1b at the Soekarno Hatta Airport Tangerang. Sampling technique conducted by the writer is Purpose Sampling, so that in the study only taken 100 passengers using XYZ airline. Method of data collection using questionnaire method and data analysis method using quantitative analysis with hypothesis proof. Hypothesis testing conducted is classical assumption test, multiple linear regression analysis, coefficient of determination (R2), “t” test and “F” test. Based on the results of data analysis and hypothesis testing, it can be concluded as follows: 1) waiting time partially influential and significant to customer satisfaction, 2) price partially influential and significant to customer satisfaction, 3) quality of service partially significant and significant customer satisfaction, 4) waiting time, price and service quality simultaneously have an effect on and significant to consumer satisfaction.


2019 ◽  
Vol 90 (4) ◽  
pp. 260-264 ◽  
Author(s):  
Angela Maurizi ◽  
Francesco De Luca ◽  
Antonino Zanghi ◽  
Emy Manzi ◽  
Costantino Leonardo ◽  
...  

Introduction: Chronic prostatitis (CP)/chronic pelvic pain syndrome (CPPS) represents a challenge for the urologist, since the therapeutic efficacy does not always result in a satisfactory quality of life for the patients. Often the side effects of the medications used (antiinflammatories, antibiotics, alpha blockers) far outweighs the benefits gained with their admission. The choice of nutraceutical medications is preferred for their effectiveness, that has been accepted and proven by the scientific community, and for the low incidence of side effects. The objective of this study to compare the therapeutic efficacy of the flower pollen extracts (Deprox®) versus Bioflavonoids in terms of reduction of symptoms, and in the average waiting time of the variation of the National Institute of Health Chronic Prostatitis Symptom Index (NIH-CPSI), and to evaluate the quality of life improvement of the patients affected by CP/CPPS. Methods: Among the 68 patients presented with prostatic symptoms to the Hospital “Umberto I” in Rome, Italy between March 2016 and June 2016, 54 patients met the clinical diagnosis of CP/CPPS (class IIIa or IIIb according to the NIH classification). The patients were assigned to either treatment with Deprox® or quercetin based on a randomization scheme previously determined.The NIH- CPSI, IPSS, QoL questionnaires were administered. Every patient underwent bacterial cultures and trans-rectal ultrasound. Results: There was a statistically significant improvement of the NIH-CPSI score and QoL in the Deprox® group (p = < 0.0001 and p = 0.003 respectively). The average waiting time of the variation of the National Institute of Health Chronic Prostatitis Symptom Index (NIH-CPSI) was statistically significant (p = 0.0019). In the absence of efficacy of the “conventional” medications, which also carries significant side effects, the dietary supplements may represent a valid alternative. Conclusions: DEPROX® has demonstrated a significant improvement of the symptoms and quality of life of patients diagnosed with by CP/CPPS. Furthermore, there was a statistical difference in the average waiting time of the variation of the NIH-CPSI) score without side effects as compared to the bioflavonoids complex with quercetin.


Author(s):  
Simon Saddier ◽  
Zachary Patterson ◽  
Alex Johnson ◽  
Natalie Wiseman

In many cities of the developing world, institutional public transportation is limited or nonexistent, and inhabitants have to rely on paratransit (informal or semiformal, non-fixed-route, nonscheduled transportation systems) for their travel. Although their flexibility and affordability offer clear advantages, these services are often criticized for their lack of reliability in terms of variations in travel time and waiting time. The body of work on paratransit and the work that characterizes paratransit as unreliable are almost exclusively based on self-reported or indirect data. Therefore the aim here is to fill a gap in the paratransit literature by applying concepts from the literature on transit quality of service to the field of informal transport. Indicators traditionally applied to formal transit systems are used to assess the level of reliability of paratransit services in a developing country. In addition, a new indicator is proposed to measure itinerary variations specific to paratransit. It is found that the most appropriate unit of analysis for such research is the station because operations on any given route are influenced by forces at the station level. The general level of variability measured through these indicators was less than expected. Although a wide range of situations was observed in this sample, most paratransit routes appeared to be relatively stable in Accra, Ghana.


2020 ◽  
Vol 8 (5) ◽  
pp. 3193-3196

Task scheduling in cloud is the process of allocating a resource to a task at specific time. The allocation of limited cloud resources to large number of tasks to satisfy the required quality of service is the key challenge in cloud. Allocation of a resource with less capability to a task increases the response time, makespan of the task and waiting time of the entire tasks in the waiting queue. This problem will result to an unsatisfied Quality of Service. In this paper we proposed an efficient task scheduling that uses three threshold values to specify the resource to be allocated to a task at a given time. This method ensures that a capable resource is allocated to task such that the response time and makespan of the all task are minimized. The proposed method was simulated using CloudSim and the result shows a better response time and makespan than the well known Min-Min and Max-Min Method.


Author(s):  
Sourav Banerjee ◽  
Debashis Das ◽  
Ayan Kundu ◽  
Saptarshi Pal ◽  
Utpal Biswas

Cloud computing has left its remarkable note on the computing world over the last few years. Through its effectiveness, litheness, scalability & availability cloud computing has changed the nature of computer system deployment. The Quality of Service (QoS)of a cloud service provider (CSP) is an important element of research interest which includes different critical issues such as proper load, minimization of waiting time, turnaround time, makespan and suppressing the wastage of bandwidth of the system. The Datacenter Broker (DCB) policy help assigning a cloudlet to a VM. In the present study, we proposed an algorithm, i.e., Migration enabled Cloudlet Allocation Policy (MCAP) for allocation of cloudlets to the VMs in a Datacenter by taking into account the load capacity of VMs and length of the cloudlets. The experimental results obtained using CloudSim toolkit under extensive loads that establish performance supremacy of MCAP algorithm over the existing algorithms.


1930 ◽  
Vol 8 (01) ◽  
pp. 57-61
Author(s):  
Henny Maria Ulfa

The waiting time is the time it takes from the patient to register until the medical record file is sent to the polyclinic. RSUD Petala Bumi Provinsi Riau for service still not good because it still uses manual system. Minimum standards of service time wait patients in outpatient registrationin RSUD PetalaBumiProvinsi Riau.Research methodology used in this research is descriptive approach with a combination of quantitative and qualitative, samples to this research a total of 97 patients. Produce research waiting time in registration outpatients included in a category slow(≥ 10 minute) as much as 66 patients (68,0 %)While in the category of fast(≤ 10 minute) 31 patients (31,9 %). From 97 outpatients at the hospital Petala Bumi,riau.Seen from workload by officers additional resources is needed, especifically at distribution so that the medical officerno longer working concurrently again, education and training record medical officer has already been done, SPO in TPPRJ already exists but not run optimally, and facilities in unit medical record hospital in Petala Bumi Riau has been sufficient. Advice on this research is should be increased again the quality and quantity of the of officer so that patient do not wait longer in registration of outpatient. For medical officers are expected to perform their duties in accordance with SOPs that have been established so as to increase the value of productivity so that patient services faster and can improve the quality of service in TPPRJ.


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