This document discusses queuing theory and its application to traffic flow modeling. Some key points:
- Queuing theory is the mathematical analysis of waiting lines or queues. It allows prediction of line lengths and waiting times.
- As it relates operations research, queuing theory results are used for business decisions about resource requirements for service provision.
- It is relevant for modeling customer service situations as well as transport and telecom applications. Specifically applicable to traffic systems.
- The document outlines components of a queuing model for traffic, including relationships between traffic flow, density, and speed. Models arrival and service rates to estimate time in the system.
The information in this slide is very useful for me to do the assignment regarding the simulation in which we have to report together with the presentation...
A Review on Performance of Toll Plaza by using Queuing Theoryijtsrd
One of the key problems in the study of any stream of traffic system is the analysis of delay. Delay is a more delicate concept. It may be well defined as the difference between the actual travel time on a given section and some ideal travel time of that section. This raises the question as what is the ideal travel time. In practice, the ideal travel time chosen will depend on the situation. There are two particular travel times that seem best suited as benchmarks for assessment with the actual performance of the system. These are the travel times under free flow conditions and travel time at capacity. Most recent research has found that for highway systems, there is reasonably little difference between these two speeds. The analysis of delay normally focuses on the delay when demand exceeds its capacity. Such delay is known as queuing delay, and may be studied by means of queuing theory. This theory involves the analysis which is known as a queuing system, which is composed of a server, a stream of customers who demand service, and a queue or line of customers waiting to be served. A. N. V. Ravindra | Mr. S. Siva Gowri Prasad "A Review on Performance of Toll Plaza by using Queuing Theory" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28068.pdf Paper URL: https://www.ijtsrd.com/engineering/transport-engineering/28068/a-review-on-performance-of-toll-plaza-by-using-queuing-theory/a-n-v-ravindra
A New Paradigm in User Equilibrium-Application in Managed Lane PricingCSCJournals
Ineffective use of the High-Occupancy-Vehicle (HOV) lanes has the potential to decrease the overall roadway throughput during peak periods. Excess capacity in HOV lanes during peak periods can be made available to other types of vehicles, including single occupancy vehicles (SOV) for a price (toll). Such dual use lanes are known as “Managed Lanes.” The main purpose of this research is to propose a new paradigm in user equilibrium to predict the travel demand for determining the optimal fare policy for managed lane facilities. Depending on their value of time, motorists may choose to travel on Managed Lanes (ML) or General Purpose Lanes (GPL). In this study, the features in the software called Toll Pricing Modeler version 4.3 (TPM-4.3) are described. TPM-4.3 is developed based on this new user equilibrium concept and utilizes it to examine various operating scenarios. The software has two built-in operating objective options: 1) what would the ML operating speed be for a specified SOV toll, or 2) what should the SOV toll be for a desired minimum ML operating speed. A number of pricing policy scenarios are developed and examined on the proposed managed lane segment on Interstate 30 (I-30) in Grand Prairie, Texas. The software provides quantitative estimates of various factors including toll revenue, emissions and system performance such as person movement and traffic speed on managed and general purpose lanes. Overall, among the scenarios examined, higher toll rates tend to generate higher toll revenues, reduce overall CO and NOx emissions, and shift demand to general purpose lanes. On the other hand, HOV preferential treatments at any given toll level tend to reduce toll revenue, have no impact on or reduce system performance on managed lanes, and increase CO and NOx emissions.
International Journal of Mathematics and Statistics Invention (IJMSI) inventionjournals
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
1
Intermodal Autonomous Mobility-on-Demand
Mauro Salazar1,2, Nicolas Lanzetti1,2, Federico Rossi2, Maximilian Schiffer2,3, and Marco Pavone2
Abstract—In this paper we study models and coordination poli-
cies for intermodal Autonomous Mobility-on-Demand (AMoD),
wherein a fleet of self-driving vehicles provides on-demand
mobility jointly with public transit. Specifically, we first present
a network flow model for intermodal AMoD, where we capture
the coupling between AMoD and public transit and the goal is
to maximize social welfare. Second, leveraging such a model,
we design a pricing and tolling scheme that allows the system
to recover a social optimum under the assumption of a perfect
market with selfish agents. Third, we present real-world case
studies for the transportation networks of New York City and
Berlin, which allow us to quantify the general benefits of
intermodal AMoD, as well as the societal impact of different
vehicles. In particular, we show that vehicle size and powertrain
type heavily affect intermodal routing decisions and, thus, system
efficiency. Our studies reveal that the cooperation between AMoD
fleets and public transit can yield significant benefits compared
to an AMoD system operating in isolation, whilst our proposed
tolling policies appear to be in line with recent discussions for
the case of New York City.
I. INTRODUCTION
TRAFFIC congestion is soaring all around the world. Besidesmere discomfort for passengers, congestion causes severe
economic and environmental harm, e.g., due to the loss of
working hours and pollutant emissions such as CO2, partic-
ulate matter, and NOx [1]. In 2013, traffic congestion cost
U.S. citizens 124 Billion USD [2]. Notably, transportation
remains one of a few sectors in which emissions are still
increasing [3]. Governments and municipalities are struggling
to find sustainable ways of transportation that can match
mobility needs and reduce environmental harm as well as
congestion.
To achieve sustainable modes of transportation, new mobil-
ity concepts and technology changes are necessary. However,
the potential to realize such concepts in urban environments is
limited, since upgrades to available infrastructures (e.g., roads
and subway lines) and their capacity are often extremely costly
and require decades-long planning timelines. Thus, mobility
concepts that use existing infrastructure in a more efficient way
are especially attractive. In this course, mobility-on-demand
services appear to be particularly promising. Herein, two main
concepts exist. On the one hand, free floating car sharing
systems strive to reduce the total number of private vehicles
in city centers. However, these systems offer limited flexibility
and are generally characterized by low adoption rates that
result from low vehicle availabilities due to the difficulty of
1Institute for Dynamic Systems and Control ETH Zürich, Zurich (ZH),
Switzerland {samauro,lnicolas}@ethz.ch
2Department of Aeronautics and Astro.
Solving Of Waiting Lines Models in the Bank Using Queuing Theory Model the Pr...IOSR Journals
Waiting lines and service systems are important parts of the business world. In this article we describe several common queuing situations and present mathematical models for analyzing waiting lines following certain assumptions. Those assumptions are that (1) arrivals come from an infinite or very large population, (2) arrivals are Poisson distributed, (3) arrivals are treated on a FIFO basis and do not balk or renege, (4) service times follow the negative exponential distribution or are constant, and (5) the average service rate is faster than the average arrival rate. The model illustrated in this Bank for customers on a level with service is the multiple-channel queuing model with Poisson Arrival and Exponential Service Times (M/M/S). After a series of operating characteristics are computed, total expected costs are studied, total costs is the sum of the cost of providing service plus the cost of waiting time. Finally we find the total minimum expected cost.
With the development of the urbanization, industrialization and populace, there has been a huge development in the rush hour gridlock. With development in the rush hour gridlock, there got a heap of issues with it as well, these issues incorporate congested roads, mishaps and movement govern infringement at the overwhelming activity signals. This thusly adversy affects the economy of the nation and in addition the loss of lives. Thus, Speed control is in the need of great importance because of the expanded rate of mishaps announced in our everyday life. The criminal traffic offense expanded due to over movement on streets. The reason is rapid of vehicles. The speed of the vehicles is past the normal speed confine is called speed infringement. In this paper diverse issues are confronted that are given in issue detailing. Every one of these issues are in future with the assistance of the fortification learning issue and advancement issue the changed neural system is contemplated with NN calculations forward Chaining back spread . Omesh Goyal | Chamkour Singh ""A Review on Traffic Signal Identification"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23557.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23557/a-review-on-traffic-signal-identification/omesh-goyal
The information in this slide is very useful for me to do the assignment regarding the simulation in which we have to report together with the presentation...
A Review on Performance of Toll Plaza by using Queuing Theoryijtsrd
One of the key problems in the study of any stream of traffic system is the analysis of delay. Delay is a more delicate concept. It may be well defined as the difference between the actual travel time on a given section and some ideal travel time of that section. This raises the question as what is the ideal travel time. In practice, the ideal travel time chosen will depend on the situation. There are two particular travel times that seem best suited as benchmarks for assessment with the actual performance of the system. These are the travel times under free flow conditions and travel time at capacity. Most recent research has found that for highway systems, there is reasonably little difference between these two speeds. The analysis of delay normally focuses on the delay when demand exceeds its capacity. Such delay is known as queuing delay, and may be studied by means of queuing theory. This theory involves the analysis which is known as a queuing system, which is composed of a server, a stream of customers who demand service, and a queue or line of customers waiting to be served. A. N. V. Ravindra | Mr. S. Siva Gowri Prasad "A Review on Performance of Toll Plaza by using Queuing Theory" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28068.pdf Paper URL: https://www.ijtsrd.com/engineering/transport-engineering/28068/a-review-on-performance-of-toll-plaza-by-using-queuing-theory/a-n-v-ravindra
A New Paradigm in User Equilibrium-Application in Managed Lane PricingCSCJournals
Ineffective use of the High-Occupancy-Vehicle (HOV) lanes has the potential to decrease the overall roadway throughput during peak periods. Excess capacity in HOV lanes during peak periods can be made available to other types of vehicles, including single occupancy vehicles (SOV) for a price (toll). Such dual use lanes are known as “Managed Lanes.” The main purpose of this research is to propose a new paradigm in user equilibrium to predict the travel demand for determining the optimal fare policy for managed lane facilities. Depending on their value of time, motorists may choose to travel on Managed Lanes (ML) or General Purpose Lanes (GPL). In this study, the features in the software called Toll Pricing Modeler version 4.3 (TPM-4.3) are described. TPM-4.3 is developed based on this new user equilibrium concept and utilizes it to examine various operating scenarios. The software has two built-in operating objective options: 1) what would the ML operating speed be for a specified SOV toll, or 2) what should the SOV toll be for a desired minimum ML operating speed. A number of pricing policy scenarios are developed and examined on the proposed managed lane segment on Interstate 30 (I-30) in Grand Prairie, Texas. The software provides quantitative estimates of various factors including toll revenue, emissions and system performance such as person movement and traffic speed on managed and general purpose lanes. Overall, among the scenarios examined, higher toll rates tend to generate higher toll revenues, reduce overall CO and NOx emissions, and shift demand to general purpose lanes. On the other hand, HOV preferential treatments at any given toll level tend to reduce toll revenue, have no impact on or reduce system performance on managed lanes, and increase CO and NOx emissions.
International Journal of Mathematics and Statistics Invention (IJMSI) inventionjournals
International Journal of Mathematics and Statistics Invention (IJMSI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJMSI publishes research articles and reviews within the whole field Mathematics and Statistics, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
1
Intermodal Autonomous Mobility-on-Demand
Mauro Salazar1,2, Nicolas Lanzetti1,2, Federico Rossi2, Maximilian Schiffer2,3, and Marco Pavone2
Abstract—In this paper we study models and coordination poli-
cies for intermodal Autonomous Mobility-on-Demand (AMoD),
wherein a fleet of self-driving vehicles provides on-demand
mobility jointly with public transit. Specifically, we first present
a network flow model for intermodal AMoD, where we capture
the coupling between AMoD and public transit and the goal is
to maximize social welfare. Second, leveraging such a model,
we design a pricing and tolling scheme that allows the system
to recover a social optimum under the assumption of a perfect
market with selfish agents. Third, we present real-world case
studies for the transportation networks of New York City and
Berlin, which allow us to quantify the general benefits of
intermodal AMoD, as well as the societal impact of different
vehicles. In particular, we show that vehicle size and powertrain
type heavily affect intermodal routing decisions and, thus, system
efficiency. Our studies reveal that the cooperation between AMoD
fleets and public transit can yield significant benefits compared
to an AMoD system operating in isolation, whilst our proposed
tolling policies appear to be in line with recent discussions for
the case of New York City.
I. INTRODUCTION
TRAFFIC congestion is soaring all around the world. Besidesmere discomfort for passengers, congestion causes severe
economic and environmental harm, e.g., due to the loss of
working hours and pollutant emissions such as CO2, partic-
ulate matter, and NOx [1]. In 2013, traffic congestion cost
U.S. citizens 124 Billion USD [2]. Notably, transportation
remains one of a few sectors in which emissions are still
increasing [3]. Governments and municipalities are struggling
to find sustainable ways of transportation that can match
mobility needs and reduce environmental harm as well as
congestion.
To achieve sustainable modes of transportation, new mobil-
ity concepts and technology changes are necessary. However,
the potential to realize such concepts in urban environments is
limited, since upgrades to available infrastructures (e.g., roads
and subway lines) and their capacity are often extremely costly
and require decades-long planning timelines. Thus, mobility
concepts that use existing infrastructure in a more efficient way
are especially attractive. In this course, mobility-on-demand
services appear to be particularly promising. Herein, two main
concepts exist. On the one hand, free floating car sharing
systems strive to reduce the total number of private vehicles
in city centers. However, these systems offer limited flexibility
and are generally characterized by low adoption rates that
result from low vehicle availabilities due to the difficulty of
1Institute for Dynamic Systems and Control ETH Zürich, Zurich (ZH),
Switzerland {samauro,lnicolas}@ethz.ch
2Department of Aeronautics and Astro.
Solving Of Waiting Lines Models in the Bank Using Queuing Theory Model the Pr...IOSR Journals
Waiting lines and service systems are important parts of the business world. In this article we describe several common queuing situations and present mathematical models for analyzing waiting lines following certain assumptions. Those assumptions are that (1) arrivals come from an infinite or very large population, (2) arrivals are Poisson distributed, (3) arrivals are treated on a FIFO basis and do not balk or renege, (4) service times follow the negative exponential distribution or are constant, and (5) the average service rate is faster than the average arrival rate. The model illustrated in this Bank for customers on a level with service is the multiple-channel queuing model with Poisson Arrival and Exponential Service Times (M/M/S). After a series of operating characteristics are computed, total expected costs are studied, total costs is the sum of the cost of providing service plus the cost of waiting time. Finally we find the total minimum expected cost.
With the development of the urbanization, industrialization and populace, there has been a huge development in the rush hour gridlock. With development in the rush hour gridlock, there got a heap of issues with it as well, these issues incorporate congested roads, mishaps and movement govern infringement at the overwhelming activity signals. This thusly adversy affects the economy of the nation and in addition the loss of lives. Thus, Speed control is in the need of great importance because of the expanded rate of mishaps announced in our everyday life. The criminal traffic offense expanded due to over movement on streets. The reason is rapid of vehicles. The speed of the vehicles is past the normal speed confine is called speed infringement. In this paper diverse issues are confronted that are given in issue detailing. Every one of these issues are in future with the assistance of the fortification learning issue and advancement issue the changed neural system is contemplated with NN calculations forward Chaining back spread . Omesh Goyal | Chamkour Singh ""A Review on Traffic Signal Identification"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23557.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23557/a-review-on-traffic-signal-identification/omesh-goyal
Applied research. Optimization of the Shuttle ServicesRAMON RIOS
Application of the queuing theory to find out the root causes of the long waiting times in the company X. The verification of the outcome was with promodel simulation software. Networking using the shortest route to optimize even better. Forecasting to predict increasing in the population and get our life cycle. Gantt chart to calculate the total days and to track the gantt chart for any delays.
Waiting Line Model is one of the decision line model.Waiting Line Model is one of the decision line model.Waiting Line Model is one of the decision line model.Waiting Line Model is one of the decision line model.
Effect of Type of School Management and School
Factors on Educational Performance of Primary
School Children in Navi Mumbai: Multiple
Classification Model
Rita Abbi
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Water Industry Process Automation and Control Monthly - May 2024.pdf
27 ijaprr vol1-3-47-53dharam
1. IJAPRR Page 47
International Journal of Allied Practice, Research and Review
Website: www.ijaprr.com (ISSN 2350-1294)
Queuing Process in Traffic Flow Model
Mr. Dharamvirsinh B. Parmar
Assistant professor in Mathematics, C.U.Shah University
Abstract: -Queuing hypothesis is a gathering of numerical models of different queuing frameworks. Queuing hypothesis
is the numerical investigation of holding up lines, or lines. In queuing hypothesis a model is built so line lengths and
holding up times can be anticipated. Queuing hypothesis is by and large considered a limb of operations examination in
light of the fact that the results are frequently utilized when settling on business choices about the assets required giving
an administration.
Queuing Theory is the numerical investigation of holding up lines (or lines). The hypothesis empowers numerical
investigation of a few related procedures, including landing at the (over of the) line, holding up in the line (basically a
stockpiling process), and being served by the server(s) at the front of the line. The hypothesis allows the induction and
estimation of a few execution measures including the normal holding up time in the line or the framework, the normal
number holding up or accepting administration and the likelihood of experiencing the framework in specific states, for
example, void, full, having an accessible server or needing to hold up a certain time to be served.
Queuing Theory is for the most part considered an extension of operations examination in light of the fact that the results
are frequently utilized when settling on business choices about the assets required giving administration. It is material in
a wide mixture of circumstances that may be experienced in business, trade, industry, social insurance, open
administration and designing. Applications are oftentimes experienced in client administration circumstances and also
transport and telecom. Queuing hypothesis is specifically appropriate to insightful transportation frameworks, call
focuses, systems, information transfers, server queuing, and centralized computer machine queuing of information
transfers terminals, and progressed information transfers frameworks and traffic flow.
Keywords:-Queuing theory; traffic flow modeling; congestion management queuing simulation; estimated queue length.
I. Introduction
A mathematical strategy for analyzing down the cloggings and delays of waiting in line, Queuing
theory inspects each part of holding up in line to be served, including the landing procedure,
administration methodology, number of servers, number of framework spots and the quantity of "clients"
Example: - people, data packet, autos. Real life applications of queuing theory incorporate giving quicker
2. IJAPRR Page 48
client administration, improving traffic flow, shipping orders efficiently from a warehouse and designing
telecommunications systems such as call centers.
The evaluation of continuous traffic flow is generally focused around experimental routines. We
Create some scientific queuing models focused around traffic tallies and we show the conduct of Traffic
flows as a capacity of probably the most significant determinants. These scientific models take into
account parameterized investigations, which prepare towards our examination destinations: evaluating
considers the possibility that situation's and affectability investigation for traffic administration, blockage
control. Traffic outline and the ecological effect of street traffic (e.g. Outflow models). The effect of
some pivotal displaying parameters is mulled over in subtle element and connections with the more
extensive exploration goals are given. We show our results for a roadway, in light of included traffic
flows Flanders.
Fig:-Dynamic and Static impact of Transportation traffic on emissions and waste
As traffic flows occupy a central position in the assessment of transportation traffic emissions, a
robust traffic flow model is required. Traditionally, traffic flows are modeled empirically, using origin
destination matrices. These descriptive models give an empirical justification of the well-known speed-
flow and speed-density diagrams, but are limited in terms of predictive power and the possibility of
sensitivity analysis. The construction of origin-destination matrices consists of five steps: transport
generation, transport distribution, the modal split, assignment and calibration.
II. Review of Literature
Queuing theory is the numerical investigation of holding up lines, or the demonstration of joining
a line (queues). In queuing theory a model is built so line lengths and holding up times can be anticipated
(Sundarapandian, 2009). The issue of lining has been a subject of logical level headed discussion for
there is no known society that is not defied with the issue of lining. Wherever there is rivalry for
restricted asset lining is prone to happen. The part of transportation in human life can't be
overemphasized. As per Intikhab et al. (2008), effective transportation framework assumes an imperative
part in cooking for the day by day necessities in the lives of the natives. These incorporate access to
pleasantries and administrations that are fundamental to the lives of all people, in the same way as job,
instruction, wellbeing administrations and recreation. At the individual level, Wane (2001, p.1)
additionally brings up that 'transportation is an essential element for urban insertion since it offers access
to financial action, encourages family life and aides in turning interpersonal organizations. Writing on
3. IJAPRR Page 49
lining demonstrates that holding up in line or line reasons disservice to financial expenses to people and
associations. Healing centers, air transport organizations, banks, assembling firms and so forth., attempt
to minimize the aggregate holding up expense, and the expense of giving administration to their clients.
Thusly, speed of administration is progressively turning into a paramount aggressive parameter (Katz, et
al, 1991). Davis et al (2003) declare that giving ever-quicker benefit, with a definitive objective of having
zero client holding up time, has as of late gotten managerial consideration for a few reasons. To begin
with, in the all the more exceedingly created nations, where expectations for everyday life are high, time
gets to be more significant as a thing and thusly, clients are less eager to sit tight for administration.
Second, this is a becoming acknowledgment by associations that the way they treat their clients today
fundamentally affect on whether they will stay steadfast clients tomorrow. At last, progresses in
engineering, for example, machines, web and so on, and have given firms with the capacity to give
speedier administrations. Consequently healing center chairmen, doctors and administrators are
constantly discovering intends to convey speedier administrations, accepting that the holding up will
influence after administration assessment adversely. Likewise, understanding the inefficiencies in the
doctor's facility and enhancing them is urgent for making social insurance approach and planning choices
(Wilson and Nguyen, 2004).
III. Objective
To design a Queuing system that minimizes the average waiting time, costs and length of the
queue.
To provide the optimal time period for the recruitment.
To allocate the person for right place by using transportation problem of special case assignment
problem.
The aim of studying queuing system simulation is trying to detect the variability in a quality of
service due to queues in sales checkout operating units, find the average queue length before
getting served in order to improve the quality of the services where required, and obtain a sample
performance result to obtain time-dependent solutions for complex queuing models. The defined
model for this kind of situation where a network of queues is formed is time-dependent and needs
to run simulation.
IV. Composition of a Queuing Model
The most part of queuing equations in traffic based resource management that describe through
the particular equation is given below that are includes the interdependence of traffic flow Tf, traffic
density D and speed s.
Tf= D*s (equation no.-1)
Here we find out third variables if given two variables. If traffic count information is available,
traffic flows can be calculated as given, which leaves us to determine either traffic density or speed to
complete the method and use either as input for the suitable Queuing structure.
4. IJAPRR Page 50
Here this structure we define Roads are divided into segments of the same length 1/C, where C is the
maximum traffic density and which matches the smallest length needed by one vehicle on that particular
road. Every road segment is considered as a service station, in which vehicles get served at rate µ and
arrive at rate λ.
Tf- Traffic density (vehicle/km) ,C -Maximum traffic density (vehicle/km), s -Effective speed (km/h), W
-Time in the system (h),
Whereas, W is the total time taken a vehicle spends in the system and which count the sum of waiting
time (due to jamming) and service time. And the much greater the traffic intensity, the higher the time in
the system becomes {the accurate relation among ρ and W depends upon the queuing model.
ρ- Traffic intensity = λ / µ, r -Relative speed, SN -Nominal speed (km/h), µ- Service rate (vehicle/h), q -
Traffic flow (vehicle/h), λ- Arrival rate (vehicle/hour).
if the W is known the we calculated the effective speed easily as given as-
s= (1CW) (1)
now we calculate the relative r, becomes-
r = s/SN= 1/C/W*SN (2)
Machinations the traffic flow and density (relative & effective) speed on a table gives us the
distinguished speed-flow-density diagrams. The accurate shape of these diagrams depends upon the
Queuing model and the uniqueness of the arrival and service procedures.
The mathematical statements depicting M/M/1 lining framework are genuinely straight forward
and simple to utilize. Initially we characterize the movement force, ρ (some of the time called
inhabitance). It is defined as the normal arrival rate (λ) divided by the normal administration rate (µ). For
a stable framework the normal administration rate ought to dependably be higher than the normal landing
rate. (Overall the lines would quickly race towards boundlessness). Along these lines ρ ought to
dependably be short of what one.
Likewise note that we are discussing normal rates here, the prompt entry rate may surpass the
administration rate. Over a more drawn out time period, the administration rate ought to constantly
surpass an entry rate.
ρ= λ/ µ (3)
Mean number of customers in the system (N): can be found using the following equation
Mean number of customers in queue (prior to service)
N = i𝜌𝑖
∞
𝑖=0 = 𝜌(1 − 𝜌) (1 − 𝜌)2
=
𝜌
1 − 𝜌 or N = λ μ − λ (4)
5. IJAPRR Page 51
Mean number of customers in queue (prior to service)
Nq = (i − 1)
∞
𝑖=0
𝜌𝑖 =
𝜌
1 − 𝜌 − 1 − 1 − p =
p2
(1 − 𝑝) (5)
T=W= N
𝜆 =
𝜌
1 − 𝜌 𝜆
(6)
Tq=Wq =
𝜌
𝜆(1 − 𝜌) (7)
Again we see that as mean arrival rate approaches mean service rate, the waiting time becomes very
large.
V. Results of computation of these parameters
The general target of this study is to assemble an essential model of vehicular movement focused
around lining hypothesis and afterward utilize it to focus the best times for the red golden and green
lights to be either on or off keeping in mind the end goal to diminish activity blockage at the
himmatnager crossing point in Udaipur, in the Gujarat.
Area Udaipur to
himmatmager
Time
period
morning
Arrival Average vechile
of no.
45
time 1.34
service Average no. of
vechile
60
Time(mintue) 1.30
Table:-Traffic information at this route.
Processing’s of parameters to focus the conduct of activity were carried out utilizing the M/M/1
lining model. It is accepted that time interim between progressive landings and serving time is
autonomous and indistinguishably appropriated. In any sufficient interim of time at most one and only
entry can happen. The framework is additionally accepted to achieve a consistent state, a condition that
the rate of entry and administration is steady. The lining order observed was FCFS (first come first
served).
6. IJAPRR Page 52
Udaipur to himmatnager at morning session different parameter.—
service rate 𝜇 =
60
1.30
= 47 𝑣𝑒ℎ𝑖𝑐𝑙𝑒/𝑚𝑖𝑛
arrival rateλ =
45
1.34
vechicle/min
𝜌 (𝑡𝑟𝑎𝑓𝑓𝑖𝑐 𝑖𝑛𝑡𝑒𝑛𝑠𝑖𝑡𝑦 =
34
47
= 0.7234)
mean number in queue Nq = 0.7234 ∗
0.7234
1−.7234
=2
All the routes at intersection at Udaipur where, these content of these given data table 1. After
comparison at different time and that display traffic intersection is currently operating with one service
channel each from the various routes to Udaipur to himmatnager highway.
VI. Conclusion
In this research, the use of queuing models which very useful in achieving the main objective
Queuing networks are simple yet powerful tools for performance modeling and capacity was planning.
Based on queuing hypothesis we diagnostically built the well-known velocity flow-thickness outlines.
Utilizing a few queuing models, pace is dead set, in view of distinctive landing and administration forms.
The definite state of the diverse rate flow-thickness outlines is to a great extent controlled by the model
parameters. Subsequently we accept that a decent decision of parameters can help to satisfactorily portray
reality. We showed this with an illustration, utilizing the most general models (counting a state ward
model) for a thruway. Because of the way that speeds have a huge impact on vehicle discharges, our
models can be viably used to survey the natural effect of street traffic.
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