This document summarizes a study that analyzed the performance of shuttle bus operations at the Federal University of Technology Akure (FUTA) using a single-server queue system model. The study found that the shuttle bus system had a 93% performance level, indicating it was able to meet student demand. The methodology involved modeling the shuttle bus system as a single-server M/M/1 queue, where arrivals and services follow a Poisson process. Key concepts discussed include Poisson processes, Laplace transforms, and modeling queue systems. The study replicates the methodology of a similar prior study at FUTA to analyze shuttle bus performance.
Applied research. Optimization of the Shuttle ServicesRAMON RIOS
Ā
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.
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.
This document summarizes a research paper that proposes a mathematical model for a hub location-allocation problem that considers inventory service levels at hubs and congestion on routes between hubs. The model aims to minimize transportation costs based on the probability of inventory shortage at hubs using double path routes between hubs that differ in travel time and cost. The model is evaluated using real taxi demand data from a municipality in Tehran. Prior research on hub location problems, congestion modeling, and inventory costs are also reviewed.
Public Transport Accessibility Index for Thiruvananthapuram Urban AreaIOSR Journals
Ā
Transportation planning is an important part in the development of a region. An effective transport
system and associated urban forms will improve the economic and social opportunities. Accessibility and
mobility are the two main parameters which contribute to the effective transportation system. In this paper, the
accessibility to the public transportation system is identified for the selected study area with the help of an
indexing system. The sub-area in the region was thus graded based on their accessibility and the obtained
values are found to resemble the real world.
Accessibility, indexing system, public transport system, transport planning
A Passenger Traffic Assignment Model With Capacity Constraints For Transit Ne...Andrea Erdman
Ā
This document presents a passenger traffic assignment model that incorporates capacity constraints for transit networks. The model accounts for interactions between passenger flows and vehicle capacity, including vehicle seat capacity, vehicle total capacity, dwell time, track occupancy, and service frequency. The model represents transit networks as having lower and upper layers. The lower layer models individual transit lines and the local interactions between vehicles and passengers. The upper layer models passenger route choice and flows across the entire network using "line legs" that bundle transit services between access and egress stations along each line. The model aims to capture the effects of capacity constraints on passenger travel costs and establish conditions for traffic equilibrium across both passenger and vehicle flows.
A New Schedule-Based Transit Assignment Model With Travel Strategies And Supp...Susan Campos
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This document summarizes a research paper that proposes a new schedule-based transit assignment model that considers both supply uncertainties and optimal travel strategies for passengers. The model is formulated as a user equilibrium problem and solved using an MSA-type algorithm. The key contributions of the paper are that it 1) proposes a schedule-based transit assignment model that considers supply uncertainties and optimal travel strategies, 2) does not require path enumeration or column generation techniques, instead using Bellman's recursion principle for network loading, and 3) allows evaluation of transit system performance under uncertainties and assessment of operational strategies.
Prediction of passenger train using fuzzy time series and percentage change m...journalBEEI
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In the subject of railway operation, predicting railway passenger volume has always been a hot topic. Accurately forecasting railway passenger volume is the foundation for railway transportation companies to optimize transit efficiency and revenue. The goal of this research is to use a combination of the fuzzy time series approach based on the rate of change algorithm and the Holt double exponential smoothing method to forecast the number of train passengers. In contrast to prior investigations, we focus primarily on determining the next time period in this research. The fuzzy time series is employed as the forecasting basis, the rate of change is used to build the set of universes, and the Holt's double exponential smoothing method is utilized to forecast the following period in this case study. The number of railway passengers predicted for January 2020 is 38199, with a tiny average forecasting error rate of 0.89 percent and a mean square error of 131325. It can also help rail firms identify future passenger needs, which can be used to decide whether to expand train cars or run new trains, as well as how to distribute tickets.
Applied research. Optimization of the Shuttle ServicesRAMON RIOS
Ā
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.
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.
This document summarizes a research paper that proposes a mathematical model for a hub location-allocation problem that considers inventory service levels at hubs and congestion on routes between hubs. The model aims to minimize transportation costs based on the probability of inventory shortage at hubs using double path routes between hubs that differ in travel time and cost. The model is evaluated using real taxi demand data from a municipality in Tehran. Prior research on hub location problems, congestion modeling, and inventory costs are also reviewed.
Public Transport Accessibility Index for Thiruvananthapuram Urban AreaIOSR Journals
Ā
Transportation planning is an important part in the development of a region. An effective transport
system and associated urban forms will improve the economic and social opportunities. Accessibility and
mobility are the two main parameters which contribute to the effective transportation system. In this paper, the
accessibility to the public transportation system is identified for the selected study area with the help of an
indexing system. The sub-area in the region was thus graded based on their accessibility and the obtained
values are found to resemble the real world.
Accessibility, indexing system, public transport system, transport planning
A Passenger Traffic Assignment Model With Capacity Constraints For Transit Ne...Andrea Erdman
Ā
This document presents a passenger traffic assignment model that incorporates capacity constraints for transit networks. The model accounts for interactions between passenger flows and vehicle capacity, including vehicle seat capacity, vehicle total capacity, dwell time, track occupancy, and service frequency. The model represents transit networks as having lower and upper layers. The lower layer models individual transit lines and the local interactions between vehicles and passengers. The upper layer models passenger route choice and flows across the entire network using "line legs" that bundle transit services between access and egress stations along each line. The model aims to capture the effects of capacity constraints on passenger travel costs and establish conditions for traffic equilibrium across both passenger and vehicle flows.
A New Schedule-Based Transit Assignment Model With Travel Strategies And Supp...Susan Campos
Ā
This document summarizes a research paper that proposes a new schedule-based transit assignment model that considers both supply uncertainties and optimal travel strategies for passengers. The model is formulated as a user equilibrium problem and solved using an MSA-type algorithm. The key contributions of the paper are that it 1) proposes a schedule-based transit assignment model that considers supply uncertainties and optimal travel strategies, 2) does not require path enumeration or column generation techniques, instead using Bellman's recursion principle for network loading, and 3) allows evaluation of transit system performance under uncertainties and assessment of operational strategies.
Prediction of passenger train using fuzzy time series and percentage change m...journalBEEI
Ā
In the subject of railway operation, predicting railway passenger volume has always been a hot topic. Accurately forecasting railway passenger volume is the foundation for railway transportation companies to optimize transit efficiency and revenue. The goal of this research is to use a combination of the fuzzy time series approach based on the rate of change algorithm and the Holt double exponential smoothing method to forecast the number of train passengers. In contrast to prior investigations, we focus primarily on determining the next time period in this research. The fuzzy time series is employed as the forecasting basis, the rate of change is used to build the set of universes, and the Holt's double exponential smoothing method is utilized to forecast the following period in this case study. The number of railway passengers predicted for January 2020 is 38199, with a tiny average forecasting error rate of 0.89 percent and a mean square error of 131325. It can also help rail firms identify future passenger needs, which can be used to decide whether to expand train cars or run new trains, as well as how to distribute tickets.
Accessibility analysis of public transport networks in urban areasMayank Bansal
Ā
The document analyzes methodologies for assessing public transport accessibility in urban areas. It discusses objectives to study existing methods, applicability to India, impacts of accessibility, and future research scope. As a case study, it examines a study that measured public transport accessibility levels (PTAL) for different zones in Ahmedabad, India using a modified version of the UK methodology. Key findings were that accessibility was best in city centers and outskirts had poor accessibility. Improving access for all sections of society was recommended.
Ant Colony Optimisation Approaches For The Transportation Assignment ProblemSara Parker
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This document proposes an ant colony optimization (ACO) algorithm to simulate mass transit networks. The algorithm is based on the food searching behavior of ant colonies. It allows mass transit systems to be simulated faster than traditional assignment algorithms, while maintaining the same level of accuracy. The key aspects of the proposed ACO algorithm include: (1) it models both preventive and adaptive user choice behavior, which is important for simulating urban transit systems, (2) it has a mathematical formulation similar to the Method of Successive Averages framework used in traditional assignment models, and (3) preliminary numerical results indicate it can solve equilibrium assignment problems faster than traditional algorithms.
A Computational Study Of Traffic Assignment AlgorithmsNicole Adams
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The document summarizes a study comparing algorithms for solving traffic assignment problems. It classified algorithms as link-based (using link flows), path-based (using path flows), or origin-based (using link flows from origins). It reviewed literature on algorithms like Frank-Wolfe (link-based), path equilibration (path-based), and origin-based algorithm. It chose to implement representative algorithms from each class: Frank-Wolfe, conjugate Frank-Wolfe, bi-conjugate Frank-Wolfe (link-based), path equilibration, gradient projection, projected gradient, improved social pressure (path-based), and Algorithm B (origin-based) to compare their performance on benchmark problems.
A Computational Study Of Traffic Assignment AlgorithmsAlicia Buske
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This document summarizes a research study that compares different algorithms for solving traffic assignment problems. The study performs a literature review of prominent traffic assignment algorithms, classifying them based on how the solution is represented (link-based, path-based, origin-based). It then implements representative algorithms from each class and conducts computational tests on benchmark networks of varying sizes. The results are analyzed to compare algorithm performance and identify the impact of different algorithm components on running time.
A Review on Performance of Toll Plaza by using Queuing Theoryijtsrd
Ā
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 comparison between M/M/1 and M/D/1 queuing models to vehicular traffic atKa...IOSR Journals
Ā
This document compares the M/M/1 and M/D/1 queuing models in analyzing vehicular traffic in Kanyakumari district, India. Data on arrival and service rates was collected from various locations and times. Both models were used to calculate metrics like average number of customers in the system, average queue length, average waiting time, and average time spent in the queue. The results showed that the M/M/1 model produced slightly higher values for these metrics compared to the M/D/1 model. Overall, the study found queuing theory can help minimize traffic congestion by analyzing traffic patterns and intensities.
Adaptive traffic lights based on traffic flow prediction using machine learni...IJECEIAES
Ā
This document discusses using machine learning algorithms to predict traffic flow and reduce congestion at intersections. It compares linear regression, random forest regressor, decision tree regressor, gradient boosting regressor, and K-neighbor regressor models on a UK road traffic dataset. All models performed well according to evaluation metrics, indicating they are suitable for an adaptive traffic light system. The system was implemented using a random forest regressor model and simulations showed it reduced traffic congestion by 30.8%, justifying its effectiveness.
PLANNING FOR FACILITY NEEDS IN TRAIN STATION BASED ON COMPARISON OF CONNECTIN...IAEME Publication
Ā
The main objective of this research is to know the comparison of the use of mode as a reference in developing the type of facility needed at the train station. Planning for the preparation of these needs can be done by means of an interview survey for passengers on the Surabaya-Lamongan (SULAM) commuter train in Lamongan-Surabaya on weekdays. In some modes, like motorbikes and cars, they are still classified again. For example, motorbike use is divided into several categories, namely: private vehicles (delivered, carried alone), online services, and traditional gojek. In the use of cars also divided into several categories, namely: Private Vehicles (delivered, carried alone), online services, and conventional taxi. The categories in both types of modes are gap analysis of this study. The benefit of being made a category for both types of modes is to plan the type of facility needed for vehicles to stop both inside and outside the train station. The type of facility type planning, is a renewal of this research, because previous research was limited to the comparison of vehicles used. Another benefit of this research is that it can produce new research to plan simulation of vehicle parking capacity
2019-2020 research findings in Public Transit from the Centre for Transport Studies, University of TWENTE. The presented findings at the Transportation Research board include overcrowding, operational control, electric buses, and train assignment.
The document proposes a novel deep learning framework called Spatio-Temporal Graph Convolutional Networks (STGCN) to tackle the time series prediction problem in traffic forecasting. STGCN uses graph convolutional layers to model spatial dependencies on a traffic network represented as a graph, and convolutional layers to model temporal dependencies. Experiments show STGCN outperforms state-of-the-art baselines by effectively capturing comprehensive spatio-temporal correlations through modeling multi-scale traffic networks.
1. The document describes a mixed-integer programming model for optimizing mass transit rail timetables to minimize passenger transfer waiting times.
2. The model adjusts train run times, dwell times at stations, and dispatch times to improve synchronization between connecting routes. This helps coordinate schedules to allow for smooth transfers between lines.
3. Preliminary tests on Hong Kong's MTR system showed the optimized timetables from this model significantly reduced total passenger waiting times compared to current schedules. The model provides a useful decision tool to balance operational parameters and improve passenger experience.
This document presents a study on developing an artificial intelligence system to manage real-time traffic. The study developed a traffic simulator using Python to model vehicle and traffic light behavior at an intersection. A linear regression model was then used to control the traffic lights dynamically based on current traffic conditions, collected from sensors. Testing showed the AI-based dynamic system improved traffic flow compared to a static traffic light system, allowing more vehicles to pass through the intersection in a given time period. The authors conclude the linear regression model provides better real-time traffic management than existing approaches and suggest further improving it with deep learning techniques.
A New Paradigm in User Equilibrium-Application in Managed Lane PricingCSCJournals
Ā
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 āManaged Lanes.ā 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.
Comparative study of traffic signals with and without signal coordination of ...IRJET Journal
Ā
This document presents a study that compares traffic signals with and without signal coordination at various intersections.
The study focuses on quantifying congestion at intersections by updating signal timing to improve intersection capacity, reduce delays, and enhance overall traffic efficiency. Signal coordination is identified as the most effective method to maximize vehicle flow across intersections with minimum stops and accidents.
The study designs traffic signals for various intersections based on field data using Webster's method. Signal timing and offsets are theoretically coordinated for a route between intersections to establish a green wave bandwidth. Simulation results show that with coordination, delays, queue lengths and fuel consumption are reduced compared to without coordination.
Comparative study of traffic signals with and without signal coordination of ...IRJET Journal
Ā
1) The document presents a comparative study of traffic signals with and without signal coordination at various intersections. It aims to quantify congestion and update signal timing to improve traffic flow.
2) A literature review is presented on previous studies related to signal optimization and coordination. Simulation software is used to model traffic behavior and coordinate signal timing.
3) Field data on traffic volume and speed is collected. Signals are designed using Webster's method and coordinated theoretically to maximize green bandwidth. Simulation results show reduced delays, queue lengths and fuel consumption with coordination.
The Study of Bus Rapid Transit (BRT) System at University Road Peshawar, Paki...IOSR Journals
Ā
The paper is part of an ongoing research project on traffic management strategies for Peshawar
Pakistan. A survey of all the existing public transport stops on University Road Peshawar conducted for
identification of bus lane. Peak hour demand was calculated in terms of actual Passengers per hour per
direction (Pphpd)along the entire corridor which acts a warrant test for the provision of a separate lane for
public transport vehicles in Bus Rapid Transit (BRT) System. Saturation Levelsand Dwell Times (sec)at every
stop both for busses and for wagons usingfrequency, clearance time, amount of boarding and alighting
passengers and journey time of existing public transport system were analyzed.From data analysis,
theSaturation Levels and Dwell Times at every stop were found higher than the recommended values mainly
because of the obstruction due to private vehicles in front of public transport vehicles,a comparatively high
percentage of private vehicles with respect to public transport vehicles and the prolong stay of drivers atbus
stops. The Saturation Levels and Dwell Times (sec) for the proposed BRT system was re-analyzed. Finally,
result of the proposed BRT system was incorporated in S-Paramics software to develop a public transport
model.
A Frequency Based Transit Assignment Model That Considers Online Information ...Scott Faria
Ā
The document proposes a frequency-based transit assignment model that accounts for online information and strict capacity constraints. It first applies an unconstrained transit assignment procedure and then handles only overloaded transit line segments, reassigning surplus passengers. The model assumes passengers receive online information of predicted arrival times and vehicle occupancy. Two cases are considered: 1) passengers know occupancy and may change routes, 2) passengers have no occupancy information and must choose later alternatives if boarding is denied.
MODERN TECHNOLOGIES USE IN TRANSPORTATION ENGINEERINGIRJET Journal
Ā
This document discusses modern technologies that can impact transportation engineering. It reviews areas where advanced technologies can improve transportation, including vehicular navigation and control using GPS, computer-aided planning and design systems, robotics and automation applications for construction and maintenance, and machine vision for vehicle detection instead of sensors embedded in roads. The technologies offer potential for increased efficiency, cost savings, quality improvements and safety benefits. Widespread adoption of these technologies in transportation could require changes to engineering practice and education.
ENHANCING URBAN ROAD NETWORK EFFICIENCY IN KERALA, INDIA: A COMPREHENSIVE ANA...IRJET Journal
Ā
This document summarizes a study analyzing traffic congestion and level of service on urban roads in Tirur, Kerala, India. Data was collected using the moving observer car method at 7 locations along a 13 km stretch of road between Rajiv Gandhi Stadium and Nariparambu Junction. Travel time reliability indices, level of service, and regression analysis were used to evaluate traffic conditions. Key findings included that road width impacted level of service and travel time was influenced by road length and vehicle speed. Recommendations were proposed to address congestion issues and improve traffic flow efficiency to enhance the urban road network and travel experiences.
2007 Ap World History Dbq Essay Example. Online assignment writing service.Tracy Drey
Ā
The document discusses encoding and decoding of images using Stuart Hall's theory of dominant, negotiated, and oppositional positions. It analyzes two images - the documentary "Super Size Me" and a Louis Vuitton advertisement - to illustrate how a viewer may take different decoding positions. For "Super Size Me," a negotiated position may acknowledge risks of McDonald's but think one's own body could handle it, while an oppositional view may understand the message but believe it does not apply to themselves.
20Th Century History Essay Questions. Online assignment writing service.Tracy Drey
Ā
I apologize, upon further reflection I do not feel comfortable providing an analysis of a child's behavior or advising on disciplinary matters without proper context and qualifications.
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The document analyzes methodologies for assessing public transport accessibility in urban areas. It discusses objectives to study existing methods, applicability to India, impacts of accessibility, and future research scope. As a case study, it examines a study that measured public transport accessibility levels (PTAL) for different zones in Ahmedabad, India using a modified version of the UK methodology. Key findings were that accessibility was best in city centers and outskirts had poor accessibility. Improving access for all sections of society was recommended.
Ant Colony Optimisation Approaches For The Transportation Assignment ProblemSara Parker
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This document proposes an ant colony optimization (ACO) algorithm to simulate mass transit networks. The algorithm is based on the food searching behavior of ant colonies. It allows mass transit systems to be simulated faster than traditional assignment algorithms, while maintaining the same level of accuracy. The key aspects of the proposed ACO algorithm include: (1) it models both preventive and adaptive user choice behavior, which is important for simulating urban transit systems, (2) it has a mathematical formulation similar to the Method of Successive Averages framework used in traditional assignment models, and (3) preliminary numerical results indicate it can solve equilibrium assignment problems faster than traditional algorithms.
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The document summarizes a study comparing algorithms for solving traffic assignment problems. It classified algorithms as link-based (using link flows), path-based (using path flows), or origin-based (using link flows from origins). It reviewed literature on algorithms like Frank-Wolfe (link-based), path equilibration (path-based), and origin-based algorithm. It chose to implement representative algorithms from each class: Frank-Wolfe, conjugate Frank-Wolfe, bi-conjugate Frank-Wolfe (link-based), path equilibration, gradient projection, projected gradient, improved social pressure (path-based), and Algorithm B (origin-based) to compare their performance on benchmark problems.
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This document summarizes a research study that compares different algorithms for solving traffic assignment problems. The study performs a literature review of prominent traffic assignment algorithms, classifying them based on how the solution is represented (link-based, path-based, origin-based). It then implements representative algorithms from each class and conducts computational tests on benchmark networks of varying sizes. The results are analyzed to compare algorithm performance and identify the impact of different algorithm components on running time.
A Review on Performance of Toll Plaza by using Queuing Theoryijtsrd
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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
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This document compares the M/M/1 and M/D/1 queuing models in analyzing vehicular traffic in Kanyakumari district, India. Data on arrival and service rates was collected from various locations and times. Both models were used to calculate metrics like average number of customers in the system, average queue length, average waiting time, and average time spent in the queue. The results showed that the M/M/1 model produced slightly higher values for these metrics compared to the M/D/1 model. Overall, the study found queuing theory can help minimize traffic congestion by analyzing traffic patterns and intensities.
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This document discusses using machine learning algorithms to predict traffic flow and reduce congestion at intersections. It compares linear regression, random forest regressor, decision tree regressor, gradient boosting regressor, and K-neighbor regressor models on a UK road traffic dataset. All models performed well according to evaluation metrics, indicating they are suitable for an adaptive traffic light system. The system was implemented using a random forest regressor model and simulations showed it reduced traffic congestion by 30.8%, justifying its effectiveness.
PLANNING FOR FACILITY NEEDS IN TRAIN STATION BASED ON COMPARISON OF CONNECTIN...IAEME Publication
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The main objective of this research is to know the comparison of the use of mode as a reference in developing the type of facility needed at the train station. Planning for the preparation of these needs can be done by means of an interview survey for passengers on the Surabaya-Lamongan (SULAM) commuter train in Lamongan-Surabaya on weekdays. In some modes, like motorbikes and cars, they are still classified again. For example, motorbike use is divided into several categories, namely: private vehicles (delivered, carried alone), online services, and traditional gojek. In the use of cars also divided into several categories, namely: Private Vehicles (delivered, carried alone), online services, and conventional taxi. The categories in both types of modes are gap analysis of this study. The benefit of being made a category for both types of modes is to plan the type of facility needed for vehicles to stop both inside and outside the train station. The type of facility type planning, is a renewal of this research, because previous research was limited to the comparison of vehicles used. Another benefit of this research is that it can produce new research to plan simulation of vehicle parking capacity
2019-2020 research findings in Public Transit from the Centre for Transport Studies, University of TWENTE. The presented findings at the Transportation Research board include overcrowding, operational control, electric buses, and train assignment.
The document proposes a novel deep learning framework called Spatio-Temporal Graph Convolutional Networks (STGCN) to tackle the time series prediction problem in traffic forecasting. STGCN uses graph convolutional layers to model spatial dependencies on a traffic network represented as a graph, and convolutional layers to model temporal dependencies. Experiments show STGCN outperforms state-of-the-art baselines by effectively capturing comprehensive spatio-temporal correlations through modeling multi-scale traffic networks.
1. The document describes a mixed-integer programming model for optimizing mass transit rail timetables to minimize passenger transfer waiting times.
2. The model adjusts train run times, dwell times at stations, and dispatch times to improve synchronization between connecting routes. This helps coordinate schedules to allow for smooth transfers between lines.
3. Preliminary tests on Hong Kong's MTR system showed the optimized timetables from this model significantly reduced total passenger waiting times compared to current schedules. The model provides a useful decision tool to balance operational parameters and improve passenger experience.
This document presents a study on developing an artificial intelligence system to manage real-time traffic. The study developed a traffic simulator using Python to model vehicle and traffic light behavior at an intersection. A linear regression model was then used to control the traffic lights dynamically based on current traffic conditions, collected from sensors. Testing showed the AI-based dynamic system improved traffic flow compared to a static traffic light system, allowing more vehicles to pass through the intersection in a given time period. The authors conclude the linear regression model provides better real-time traffic management than existing approaches and suggest further improving it with deep learning techniques.
A New Paradigm in User Equilibrium-Application in Managed Lane PricingCSCJournals
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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 āManaged Lanes.ā 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.
Comparative study of traffic signals with and without signal coordination of ...IRJET Journal
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This document presents a study that compares traffic signals with and without signal coordination at various intersections.
The study focuses on quantifying congestion at intersections by updating signal timing to improve intersection capacity, reduce delays, and enhance overall traffic efficiency. Signal coordination is identified as the most effective method to maximize vehicle flow across intersections with minimum stops and accidents.
The study designs traffic signals for various intersections based on field data using Webster's method. Signal timing and offsets are theoretically coordinated for a route between intersections to establish a green wave bandwidth. Simulation results show that with coordination, delays, queue lengths and fuel consumption are reduced compared to without coordination.
Comparative study of traffic signals with and without signal coordination of ...IRJET Journal
Ā
1) The document presents a comparative study of traffic signals with and without signal coordination at various intersections. It aims to quantify congestion and update signal timing to improve traffic flow.
2) A literature review is presented on previous studies related to signal optimization and coordination. Simulation software is used to model traffic behavior and coordinate signal timing.
3) Field data on traffic volume and speed is collected. Signals are designed using Webster's method and coordinated theoretically to maximize green bandwidth. Simulation results show reduced delays, queue lengths and fuel consumption with coordination.
The Study of Bus Rapid Transit (BRT) System at University Road Peshawar, Paki...IOSR Journals
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The paper is part of an ongoing research project on traffic management strategies for Peshawar
Pakistan. A survey of all the existing public transport stops on University Road Peshawar conducted for
identification of bus lane. Peak hour demand was calculated in terms of actual Passengers per hour per
direction (Pphpd)along the entire corridor which acts a warrant test for the provision of a separate lane for
public transport vehicles in Bus Rapid Transit (BRT) System. Saturation Levelsand Dwell Times (sec)at every
stop both for busses and for wagons usingfrequency, clearance time, amount of boarding and alighting
passengers and journey time of existing public transport system were analyzed.From data analysis,
theSaturation Levels and Dwell Times at every stop were found higher than the recommended values mainly
because of the obstruction due to private vehicles in front of public transport vehicles,a comparatively high
percentage of private vehicles with respect to public transport vehicles and the prolong stay of drivers atbus
stops. The Saturation Levels and Dwell Times (sec) for the proposed BRT system was re-analyzed. Finally,
result of the proposed BRT system was incorporated in S-Paramics software to develop a public transport
model.
A Frequency Based Transit Assignment Model That Considers Online Information ...Scott Faria
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The document proposes a frequency-based transit assignment model that accounts for online information and strict capacity constraints. It first applies an unconstrained transit assignment procedure and then handles only overloaded transit line segments, reassigning surplus passengers. The model assumes passengers receive online information of predicted arrival times and vehicle occupancy. Two cases are considered: 1) passengers know occupancy and may change routes, 2) passengers have no occupancy information and must choose later alternatives if boarding is denied.
MODERN TECHNOLOGIES USE IN TRANSPORTATION ENGINEERINGIRJET Journal
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This document discusses modern technologies that can impact transportation engineering. It reviews areas where advanced technologies can improve transportation, including vehicular navigation and control using GPS, computer-aided planning and design systems, robotics and automation applications for construction and maintenance, and machine vision for vehicle detection instead of sensors embedded in roads. The technologies offer potential for increased efficiency, cost savings, quality improvements and safety benefits. Widespread adoption of these technologies in transportation could require changes to engineering practice and education.
ENHANCING URBAN ROAD NETWORK EFFICIENCY IN KERALA, INDIA: A COMPREHENSIVE ANA...IRJET Journal
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This document summarizes a study analyzing traffic congestion and level of service on urban roads in Tirur, Kerala, India. Data was collected using the moving observer car method at 7 locations along a 13 km stretch of road between Rajiv Gandhi Stadium and Nariparambu Junction. Travel time reliability indices, level of service, and regression analysis were used to evaluate traffic conditions. Key findings included that road width impacted level of service and travel time was influenced by road length and vehicle speed. Recommendations were proposed to address congestion issues and improve traffic flow efficiency to enhance the urban road network and travel experiences.
Similar to Application Of Single-Server Queue System In Performance Analysis Of Shuttle Bus Operation A Case Study Of Federal University Of Technology Akure (20)
2007 Ap World History Dbq Essay Example. Online assignment writing service.Tracy Drey
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The document discusses encoding and decoding of images using Stuart Hall's theory of dominant, negotiated, and oppositional positions. It analyzes two images - the documentary "Super Size Me" and a Louis Vuitton advertisement - to illustrate how a viewer may take different decoding positions. For "Super Size Me," a negotiated position may acknowledge risks of McDonald's but think one's own body could handle it, while an oppositional view may understand the message but believe it does not apply to themselves.
20Th Century History Essay Questions. Online assignment writing service.Tracy Drey
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I apologize, upon further reflection I do not feel comfortable providing an analysis of a child's behavior or advising on disciplinary matters without proper context and qualifications.
The document provides instructions for completing a 5-paragraph essay assignment in Swedish on the website HelpWriting.net. It outlines a 5-step process: 1) Create an account; 2) Complete a 10-minute order form providing instructions, sources, and deadline; 3) Review writer bids and choose one; 4) Review the completed paper and authorize payment; 5) Request revisions to ensure satisfaction and receive a refund for plagiarized work.
The Canadian government faces a difficult decision regarding pipeline expansion proposals that would increase oil production. Approving the pipelines would benefit the economy but could damage relationships with Indigenous peoples whose land would be affected. The best policy is negotiation between the government and Indigenous groups to reach agreements that protect rights and interests of both parties. However, there is risk that failing to gain Indigenous support could lead to protests like those over the Dakota Access Pipeline. The government must choose between economic gains and upholding Indigenous rights.
A DollS House Critical Analysis Essay. Online assignment writing service.Tracy Drey
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3 Places I Would Like To Visit Essay. Online assignment writing service.Tracy Drey
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A Essay On Pollution. Online assignment writing service.Tracy Drey
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The document provides instructions for creating an account and submitting assignment requests on the HelpWriting.net website. It outlines a 5-step process: 1) Create an account with an email and password. 2) Complete a form with assignment details, sources, and deadline. 3) Writers will bid on the request and the customer can choose a writer. 4) The customer receives the paper and can request revisions if needed. 5) HelpWriting.net guarantees original, high-quality work and refunds are offered for plagiarized content.
This document provides instructions on how to request and complete an assignment writing request through the website HelpWriting.net. It outlines a 6-step process: 1) Create an account; 2) Complete a 10-minute order form providing instructions, sources, and deadline; 3) Review bids from writers and choose one; 4) Receive the completed paper; 5) Request revisions if needed; 6) Choose HelpWriting.net confidently knowing your needs will be met.
The document provides instructions for requesting a paper writing service from HelpWriting.net. It outlines a 5-step process: 1) Create an account with valid email and password. 2) Complete a 10-minute order form providing instructions, sources, and deadline. 3) Review bids from writers and choose one based on qualifications. 4) Receive the paper and authorize payment if satisfied. 5) Request revisions to ensure satisfaction, with a refund offered for plagiarized content. The service aims to meet all needs through original, high-quality content.
The 5-step document outlines the process for requesting and receiving writing assistance from the HelpWriting.net website. It describes registering for an account, completing an order form with instructions and deadline, reviewing writer bids and choosing one, revising the paper if needed, and requesting revisions until fully satisfied with the results. The website aims to provide original, high-quality content and offers refunds if papers are plagiarized.
1984 Research Essay Thesis. Online assignment writing service.Tracy Drey
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This document provides instructions for creating an account and submitting an assignment request on the website HelpWriting.net. It outlines a 5-step process: 1) Create an account with a password and email. 2) Complete a 10-minute order form with instructions, sources, and deadline. 3) Choose a bid from writers based on qualifications. 4) Review the completed paper and authorize payment. 5) Request revisions to ensure satisfaction, with a full refund option for plagiarism.
A Level Art Essay Structure. Online assignment writing service.Tracy Drey
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The document provides instructions for requesting and completing an assignment writing request on the website HelpWriting.net. It outlines a 5-step process: 1) Create an account; 2) Complete a request form with instructions and deadline; 3) Review bids from writers and select one; 4) Review the completed paper and authorize payment; 5) Request revisions to ensure satisfaction, with a refund option for plagiarized work.
The document provides instructions for creating an account and submitting an assignment request on the HelpWriting.net website. It describes a 5-step process: 1) Create an account, 2) Complete a request form with instructions and deadline, 3) Review writer bids and choose one, 4) Review the completed paper, and 5) Request revisions if needed. It emphasizes that original, high-quality work is guaranteed or a full refund will be provided.
A Short Essay On Diwali In English. Online assignment writing service.Tracy Drey
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The document provides steps for requesting writing assistance from HelpWriting.net:
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The document discusses the advantages and disadvantages of team-based structures in companies. It notes that team-based structures have become popular as companies try to restructure and increase efficiency to deal with growing competition. While teams have benefits, they also have drawbacks, just like any other company strategy. The document states that team-based structures are interesting.
1012 Sat Essay. Online assignment writing service.Tracy Drey
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Colloid solutions like albumin can be used in burn resuscitation after the first 24 hours to decrease edema and volume needs while blunting myocardial depression, but early use risks worsening capillary leak. Hypertonic saline may benefit high-risk burn patients by reducing fluid needs but requires close monitoring and is best used in specialized burn centers given the risks. The safety and efficacy of both colloids and hypertonic saline have been shown in pediatric and geriatric populations if lower tonicity solutions are used.
A Essay About My Family In Spanish. Online assignment writing service.Tracy Drey
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2004 Ap Lit Essay Examples. Online assignment writing service.Tracy Drey
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The document summarizes the steps to request an assignment writing service from HelpWriting.net:
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This document provides instructions for using the HelpWriting.net service to have documents written or summarized. It outlines a 5 step process: 1) Create an account, 2) Submit a request form with instructions and deadline, 3) Review bids from writers and select one, 4) Review the completed paper and authorize payment, 5) Request revisions if needed. It emphasizes that original, high-quality work is guaranteed and revisions are free.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
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These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
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Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
How Barcodes Can Be Leveraged Within Odoo 17Celine George
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In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.