A model for overflow queuing network with two-station heterogeneous system

Saritha, S.; Mamatha, E.; Reddy, C. S.; Rajadurai, P.

doi:10.1504/ijpmb.2022.121592

Cited by 9 publications

(10 citation statements)

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“…The distributions are generated from thousands of input data points collected from two traffic light junctions in Changloon. Saritha et al (2022) contains a detailed description of the junctions.…”

Section: Resultsmentioning

confidence: 99%

“…There are many types of modern optimization approaches, but simulation is widely used and seems reliable to cater traffic management problem. Generally, in the traffic engineering and queuing analysis field, the randomness of vehicle time between arrivals is considered exponentially distributed (Adam, 1950;El-Hadidy et al, 2021;Jose, 2021;Kumar, 2022;Meng et al, 2009;Saritha et al, 2022;Sumaryo et al, 2015;Wang et al, 2021). Sumaryo et al (2015) used queuing models M/M/1 and M/G/1 to model traffic flow circumstances.…”

Section: Introductionmentioning

confidence: 99%

“…Researchers in discrete-event simulation modelling, on the other hand, tend to use the distributions for inter-arrival and process times recommended by the built-in tools (Frough et al, 2019;El-Hadidy et al, 2021;Jose, 2021;Kumar, 2022;Meng et al, 2009;Saritha et al, 2022;Sumaryo et al, 2015;Wang et al, 2021). Arena Input Analyzer, for example, one of the most widely used tools, provides the best distribution based on the smallest mean square error value.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Traffic Flow Optimization: Modeling the Inter-Arrival Times for Simulation Model

Jalal¹,

Nawawi²,

Desa³

et al. 2022

IJAREMS

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With the growing number of vehicles on the road, traffic flow problems are no longer a local issue; instead, traffic flow optimization has drawn significant interest from researchers all over the world. Studies of discrete-event simulation have been widely used to encounter problems related to traffic flow. Researchers of discrete-event simulation modeling typically tend to use statistical distributions for inter-arrival and process times based on the simulation software's built-in tools. The software tools include Input Analyzer in Arena, Stat::Fit for Promodel, and ExpertFit for FlexSim. However, there are other numerical metrics and concerns that researchers should examine while deciding on the best distribution. This research explores the exponential distribution and compares it to distributions generated by software, then to real data. The square error value is the focus of the comparison. There were 5404 data points collected for the vehicle arriving at six lanes at selected traffic junctions. According to the findings of this study, the commonly used exponential distribution can be utilized to depict the distribution of inter-arrival times as there is no significant difference from the more complex distribution. In future study, researcher can comfortably use exponential distribution instead of using complex distribution.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Traffic Flow Optimization: Modeling the Inter-Arrival Times for Simulation Model

Jalal¹,

Nawawi²,

Desa³

et al. 2022

IJAREMS

View full text Add to dashboard Cite

show abstract

“…For the N independent samples, X n , where n = 1, 2, …, N represents independently distributed random variables tested in the experiments. Then, the mean value for this experiment can be expressed as an estimation of the average of all samples [14][15][16][17][18].…”

Section: Methodsmentioning

confidence: 99%

Impact of Covid-19 Pandemic on Water Pollution in Indian Rivers-A Case Study

Mahadikar¹,

Anand²,

Reddy³

2022

EESRJ

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Some of the important critical parameters for assessing the water quality like pH (Hydrogen ion concentration), DO (Dissolved Oxygen), BOD (Biological Oxygen Demand), etc., were monitored at different locations in some major Indian rivers. The results obtained from the study reveals that the critical parameters had increasing values in some monitoring locations, decreasing values, and no variation in values at some other places. It is recommended to have a pH value above 7, higher values of DO, lower values of BOD & FCC (Faecal Coliform Content) for improved water quality. Overall, the water quality improved in most Indian rivers. There was no discharge of industrial wastes, hotels/restaurants wastes, immersing of idols during religious festivals, etc., to the rivers during the COVID-19 lockdown. Therefore, enforcement of strict regulations by the Government of India for disposal of wastes produced from industrial & domestic activities can significantly reduce the water pollution levels in the Indian rivers.

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“…Hence, low power consumption and small footprints are commanded among sensor nodes to process information. One of the replacements for microcontroller units is field programmable gate arrays to optimize the footprints size, so that it is to be observed keenly the routing with configurable logic blocks and switches of look-up tables which causes placement inefficiency [4,7]. To fabricate Field Programmable Gate Arrays (FPGA) it is wise to use High-level synthesis which will enable global optimization and recompense the limitation of Routing and Placement [5,6].…”

Section: Introductionmentioning

confidence: 99%

Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture

Reddy¹,

Anand²

2022

IJANS

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Sensor routers play a crucial role in the sector of Internet of Things applications, in which the capacity for transmission of the network signal is limited from cloud systems to sensors and its reversal process. It describes a robust recognized framework with various architected layers to process data at high level synthesis. It is designed to sense the nodes instinctually with the help of Internet of Things where the applications arise in cloud systems. In this paper embedded PEs with four layer new design framework architecture is proposed to sense the devises of IOT applications with the support of high-level synthesis DBMF (database management function) tool.

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A model for overflow queuing network with two-station heterogeneous system

Cited by 9 publications

References 0 publications

Traffic Flow Optimization: Modeling the Inter-Arrival Times for Simulation Model

Traffic Flow Optimization: Modeling the Inter-Arrival Times for Simulation Model

Impact of Covid-19 Pandemic on Water Pollution in Indian Rivers-A Case Study

Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture

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