Being an Assignment, submitted to the Department of Civil Engineering Bayero University Kano Master of Engineering May, 2017
Guided by Professor Hashim M. Alhassan
Car-Following Parameters by Means of Cellular Automata in the Case of EvacuationCSCJournals
This study is attention to the car-following model, an important part in the micro traffic flow. Different from Nagel–Schreckenberg’s studies in which car-following model without agent drivers and diligent ones, agent drivers and diligent ones are proposed in the car-following part in this work and lane-changing is also presented in the model. The impact of agent drivers and diligent ones under certain circumstances such as in the case of evacuation is considered. Based on simulation results, the relations between evacuation time and diligent drivers are obtained by using different amounts of agent drivers; comparison between previous (Nagel–Schreckenberg) and proposed model is also found in order to find the evacuation time. Besides, the effectiveness of reduction the evacuation time is presented for various agent drivers and diligent ones.
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.
A Dynamic Cellular Automaton Model for Large-Scale Pedestrian EvacuationScientific Review
An existing dynamic cellular automaton (CA) model is modified for simulating the hallway area evacuation experiment. In this proposed model, some basic parameters that plays and important role in evacuation process such as human psychology and pedestrian density around exits are considered. From the simulation and experimental results obtained, it shows that the modification provides a reasonable improvement as pedestrian also tends to select exit route according to occupant density around the exits area besides considering the spatial distance to exits. The studies on pedestrian density effects on speed during the evacuation process are performed. Comparison for both the experiment and simulation results verifies that the proposed model is able to effectively reproduce the experiment. The proposed CA model improvement is valuable for more extensive application study and aid the architectural design to increase public safety. Hence, we conclude our paper by presenting some of the application from the proposed model in conjunction to forecast the particular adjustment to the hallway area that would improve the output of the model.
Modeling of driver lane choice behavior with artificial neural networks (ann)...cseij
In parallel to the economic developments, the importance of road transportation was significantly
increased in Turkey. As a result of this, long-distance freight transportation gains more importance and
hence numbers of the heavy vehicles were significantly increased. Consequently, road surface deformations
are observed on the roads as the increasing freight transportation and climatic conditions influence the
road surface. Therefore, loss of functionality of the road surface is observed and drivers are much prone to
accident due to their driving characteristics as they can have more tendencies to change their lanes not to
pass through the deformation area. In this study, the lane changing behaviors of the drivers were
investigated and both Artificial Neural Network (ANN) and Linear Regression (LR) models were proposed
to simulate the driver behavior of lane changing who approach to a specific road deformation area. The
potential of ANN model for simulating the driver behavior was evaluated with successive comparison of the
model performances with LR model. While there was a slight performance increase for the ANN model with
respect to LR model, it is quite evident that, ANN models can play an important role for predicting the
driver behavior approaching a road surface deformation. It can be said that, approaching speed plays an
important factor on the lane changing behavior of a driver. This can be criticized by the fact that, drivers
with high approaching speeds more likely pass through the deformation to avoid the accidents while
changing their lanes with a high speed.
Conflict-free dynamic route multi-agv using dijkstra Floyd-warshall hybrid a...IJECEIAES
Autonomous Guided Vehicle is a mobile robot that can move autonomously on a route or lane in an indoor or outdoor environment while performing a series of tasks. Determination of the shortest route on an autonomous guided vehicle is one of the optimization problems in handling conflict- free routes that have an influence on the distribution of goods in the manufacturing industry's warehouse. Pickup and delivery processes in the distribution on AGV goods such as scheduling, shipping, and determining the route of vehicle with short mileage characteristics, is very possible to do simulations with three AGV units. There is a windows time limit on workstations that limits shipping. The problem of determining the route in this study is considered necessary as a multi-vehicle route problem with a time window. This study aims to describe the combination of algorithms written based on dynamic programming to overcome the problem of conflict-free AGV routes using time windows. The combined approach of the Dijkstra and Floyd-Warshall algorithm results in the optimization of the closest distance in overcoming conflict-free routes.
SIMULTANEOUS OPTIMIZATION OF SEMIACTIVE QUARTER CAR SUSPENSION PARAMETERS USI...ijmech
In present paper, a methodology is presented related to the optimization of semi-active quarter car model
suspension parameters having three degrees of freedom, subjected to bump type of road excitation.
Influence of primary suspension stiffness, primary suspension damping, secondary suspension stiffness and
secondary suspension damping are studied on the passenger ride comfort, taking root mean square (RMS)
values of passenger seat displacement and settling time into account. Semi-active quarter car model
assembled with magneto-rheological (MR) shock absorber is selected for optimization of suspension
parameters using Taguchi method in combination with Grey relational analysis. Confirmatory results with
simulation run indicates that the optimized results of suspension parameters are helpful in achieving the
best ride comfort to travelling passengers in terms of minimization of passenger seat displacement and
settling time values.
A macroscopic traffic model based on the Markov chain process is developed for urban traffic networks. The method utilizes existing census data rather than measurements of traffic to create parameters for the model. Four versions of the model are applied to the Philadelphia regional highway network and evaluated based on their ability to predict segments of highway that possess heavy traffic.
A Review on Road Traffic Models for Intelligent Transportation System (ITS)IJSRD
Traffic flow models seek to describe the interaction of vehicles with their drivers and the infrastructure. Almost all the models directly or indirectly characterize the relationship among the traffic variables: the position, the speed, the flow, and the density of vehicles. These relationships can be based on either the behavior of individual vehicles in a traffic network in relation to the dynamics of other vehicles, the overall characteristics of the flow of vehicles in a traffic network, or a combination of the behavior of individual vehicles in a traffic network and the overall traffic flow characteristics. This paper describes the different models for automatic Traffic control system.
Effectiveness Analysis of Travel Time For Mode Alternatife Trnasportation Bec...IJERA Editor
The purpose of this research is to obtain a model of user behavior modes of transportation in the city of Semarang in choosing the two modes of transportation, namely Modes A (rickshaw) and Mode B (motorized rickshaws), using the approach of Logit Binomial Model with three variables (cost, time and distance) with method stated preference. From the data processing, which consists of travel time, travel expenses, the distance traveled and the proportion of modal choice between Modes A and Mode B based on the cost of travel, travel time and travel distance, is analyzed with regression analysis, correlation, analysis of variance, multiple linear regression, linear interpolation. In this study of three variables, namely the analysis of costs, time and distance, researchers modeling the behavior of users rickshaws and motorized rickshaws gradually. The first researchers to model the Binomial logit model with two variables: cost and time, then the modeled user behavior mode again with the same analytical model with variable costs and the distance. Both models were then compared with regards variable costs in the first model as a reference to obtain the magnitude of the difference in cost, the time difference and the difference in distance as well.
Vehicle route scheduling and transportation cost minimization in a latex indu...IJRES Journal
The vehicle route scheduling problem is concerned with the determination of routes and schedules for a fleet of vehicles to satisfy the demands of a set of customers. The goal of vehicle routing is to schedule multiple suppliers from various places. Vehicle routing has existed since the advent of the Industrial age, when large-scale production became possible. As the complexity and scale of the manufacturing world increased, the task of optimizing vehicle routing grew. The vehicle routing problem is a combinatorial optimization and integer programming problem seeking to service a number of customers with a fleet of vehicles. Often the context is that of delivering goods located at a central depot to customers who have placed orders for such goods or vice-versa. Implicit is the goal of minimizing the cost of distributing the goods. Many methods have been developed for searching for good solutions to the problem, however even for the smallest problems, finding global minimum for the cost function is computationally complex. The paper presents an optimization algorithm using Particle Swarm Optimization (PSO) for the vehicle routing that would enable the logistic manager of a latex industry to minimize the transportation cost and maximize the collection using minimum number of vehicles.
Car-Following Parameters by Means of Cellular Automata in the Case of EvacuationCSCJournals
This study is attention to the car-following model, an important part in the micro traffic flow. Different from Nagel–Schreckenberg’s studies in which car-following model without agent drivers and diligent ones, agent drivers and diligent ones are proposed in the car-following part in this work and lane-changing is also presented in the model. The impact of agent drivers and diligent ones under certain circumstances such as in the case of evacuation is considered. Based on simulation results, the relations between evacuation time and diligent drivers are obtained by using different amounts of agent drivers; comparison between previous (Nagel–Schreckenberg) and proposed model is also found in order to find the evacuation time. Besides, the effectiveness of reduction the evacuation time is presented for various agent drivers and diligent ones.
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.
A Dynamic Cellular Automaton Model for Large-Scale Pedestrian EvacuationScientific Review
An existing dynamic cellular automaton (CA) model is modified for simulating the hallway area evacuation experiment. In this proposed model, some basic parameters that plays and important role in evacuation process such as human psychology and pedestrian density around exits are considered. From the simulation and experimental results obtained, it shows that the modification provides a reasonable improvement as pedestrian also tends to select exit route according to occupant density around the exits area besides considering the spatial distance to exits. The studies on pedestrian density effects on speed during the evacuation process are performed. Comparison for both the experiment and simulation results verifies that the proposed model is able to effectively reproduce the experiment. The proposed CA model improvement is valuable for more extensive application study and aid the architectural design to increase public safety. Hence, we conclude our paper by presenting some of the application from the proposed model in conjunction to forecast the particular adjustment to the hallway area that would improve the output of the model.
Modeling of driver lane choice behavior with artificial neural networks (ann)...cseij
In parallel to the economic developments, the importance of road transportation was significantly
increased in Turkey. As a result of this, long-distance freight transportation gains more importance and
hence numbers of the heavy vehicles were significantly increased. Consequently, road surface deformations
are observed on the roads as the increasing freight transportation and climatic conditions influence the
road surface. Therefore, loss of functionality of the road surface is observed and drivers are much prone to
accident due to their driving characteristics as they can have more tendencies to change their lanes not to
pass through the deformation area. In this study, the lane changing behaviors of the drivers were
investigated and both Artificial Neural Network (ANN) and Linear Regression (LR) models were proposed
to simulate the driver behavior of lane changing who approach to a specific road deformation area. The
potential of ANN model for simulating the driver behavior was evaluated with successive comparison of the
model performances with LR model. While there was a slight performance increase for the ANN model with
respect to LR model, it is quite evident that, ANN models can play an important role for predicting the
driver behavior approaching a road surface deformation. It can be said that, approaching speed plays an
important factor on the lane changing behavior of a driver. This can be criticized by the fact that, drivers
with high approaching speeds more likely pass through the deformation to avoid the accidents while
changing their lanes with a high speed.
Conflict-free dynamic route multi-agv using dijkstra Floyd-warshall hybrid a...IJECEIAES
Autonomous Guided Vehicle is a mobile robot that can move autonomously on a route or lane in an indoor or outdoor environment while performing a series of tasks. Determination of the shortest route on an autonomous guided vehicle is one of the optimization problems in handling conflict- free routes that have an influence on the distribution of goods in the manufacturing industry's warehouse. Pickup and delivery processes in the distribution on AGV goods such as scheduling, shipping, and determining the route of vehicle with short mileage characteristics, is very possible to do simulations with three AGV units. There is a windows time limit on workstations that limits shipping. The problem of determining the route in this study is considered necessary as a multi-vehicle route problem with a time window. This study aims to describe the combination of algorithms written based on dynamic programming to overcome the problem of conflict-free AGV routes using time windows. The combined approach of the Dijkstra and Floyd-Warshall algorithm results in the optimization of the closest distance in overcoming conflict-free routes.
SIMULTANEOUS OPTIMIZATION OF SEMIACTIVE QUARTER CAR SUSPENSION PARAMETERS USI...ijmech
In present paper, a methodology is presented related to the optimization of semi-active quarter car model
suspension parameters having three degrees of freedom, subjected to bump type of road excitation.
Influence of primary suspension stiffness, primary suspension damping, secondary suspension stiffness and
secondary suspension damping are studied on the passenger ride comfort, taking root mean square (RMS)
values of passenger seat displacement and settling time into account. Semi-active quarter car model
assembled with magneto-rheological (MR) shock absorber is selected for optimization of suspension
parameters using Taguchi method in combination with Grey relational analysis. Confirmatory results with
simulation run indicates that the optimized results of suspension parameters are helpful in achieving the
best ride comfort to travelling passengers in terms of minimization of passenger seat displacement and
settling time values.
A macroscopic traffic model based on the Markov chain process is developed for urban traffic networks. The method utilizes existing census data rather than measurements of traffic to create parameters for the model. Four versions of the model are applied to the Philadelphia regional highway network and evaluated based on their ability to predict segments of highway that possess heavy traffic.
A Review on Road Traffic Models for Intelligent Transportation System (ITS)IJSRD
Traffic flow models seek to describe the interaction of vehicles with their drivers and the infrastructure. Almost all the models directly or indirectly characterize the relationship among the traffic variables: the position, the speed, the flow, and the density of vehicles. These relationships can be based on either the behavior of individual vehicles in a traffic network in relation to the dynamics of other vehicles, the overall characteristics of the flow of vehicles in a traffic network, or a combination of the behavior of individual vehicles in a traffic network and the overall traffic flow characteristics. This paper describes the different models for automatic Traffic control system.
Effectiveness Analysis of Travel Time For Mode Alternatife Trnasportation Bec...IJERA Editor
The purpose of this research is to obtain a model of user behavior modes of transportation in the city of Semarang in choosing the two modes of transportation, namely Modes A (rickshaw) and Mode B (motorized rickshaws), using the approach of Logit Binomial Model with three variables (cost, time and distance) with method stated preference. From the data processing, which consists of travel time, travel expenses, the distance traveled and the proportion of modal choice between Modes A and Mode B based on the cost of travel, travel time and travel distance, is analyzed with regression analysis, correlation, analysis of variance, multiple linear regression, linear interpolation. In this study of three variables, namely the analysis of costs, time and distance, researchers modeling the behavior of users rickshaws and motorized rickshaws gradually. The first researchers to model the Binomial logit model with two variables: cost and time, then the modeled user behavior mode again with the same analytical model with variable costs and the distance. Both models were then compared with regards variable costs in the first model as a reference to obtain the magnitude of the difference in cost, the time difference and the difference in distance as well.
Vehicle route scheduling and transportation cost minimization in a latex indu...IJRES Journal
The vehicle route scheduling problem is concerned with the determination of routes and schedules for a fleet of vehicles to satisfy the demands of a set of customers. The goal of vehicle routing is to schedule multiple suppliers from various places. Vehicle routing has existed since the advent of the Industrial age, when large-scale production became possible. As the complexity and scale of the manufacturing world increased, the task of optimizing vehicle routing grew. The vehicle routing problem is a combinatorial optimization and integer programming problem seeking to service a number of customers with a fleet of vehicles. Often the context is that of delivering goods located at a central depot to customers who have placed orders for such goods or vice-versa. Implicit is the goal of minimizing the cost of distributing the goods. Many methods have been developed for searching for good solutions to the problem, however even for the smallest problems, finding global minimum for the cost function is computationally complex. The paper presents an optimization algorithm using Particle Swarm Optimization (PSO) for the vehicle routing that would enable the logistic manager of a latex industry to minimize the transportation cost and maximize the collection using minimum number of vehicles.
Motorcycle Movement Model Based on Markov Chain Process in Mixed TrafficIJECEIAES
Mixed traffic systems are dynamically complex since there are many parameters and variables that influence the interactions between the different kinds of vehicles. Modeling the behavior of vehicles, especially motorcycle which has erratic behavior is still being developed continuously, especially in developing countries which have heterogeneous traffic. To get a better understanding of motorcycle behavior, one can look at maneuvers performed by drivers. In this research, we tried to build a model of motorcycle movement which only focused on maneuver action to avoid the obstacle along with the trajectories using a Markov Chain approach. In Markov Chain, the maneuver of motorcycle will described by state transition. The state transition model is depend on probability function which will use for determine what action will be executed next. The maneuver of motorcycle using Markov Chain model was validated by comparing the analytical result with the naturalistic data, with similarity is calculated using MSE. In order to know how good our proposed method can describe the maneuver of motorcycle, we try to compare the MSE of the trajectory based on Markov Chain model with those using polynomial approach. The MSE results showed the performance of Markov Chain Model give the smallest MSE which 0.7666 about 0.24 better than 4 order polynomial.
Modeling business management systems transportationSherin El-Rashied
Introduction
How IT &Business Process Fit Together
What is modeling?
What is Simulation?
Modeling & Simulation in Business Process Management
The Seven-Step Model-Building Process
Transportation
An overview on transportation modeling
Transport model scope & structure
Car Traffic Jam Problem
Aim of Transportation Model
Types of Traffic Models
Microscopic Traffic model & Simulation
Cellular Automaton model
Conclusion
Solving Transportation Problem by Software Application
Class Example
Presentation on advance traffic engineering.pptxEtahEneji1
This presentation was done to fulfil the course requirement for the pursuit of my M. ENG on the course title: Advanced traffic engineering Course code : (CIV 8331).
Course Lecturer : ENGR. PROF H. M. AlHASSAN
Traffic State Estimation and Prediction under Heterogeneous Traffic ConditionsIDES Editor
The recent economic growth in developing countries
like India has resulted in an intense increase of vehicle
ownership and use, as witnessed by severe traffic congestion
and bottlenecks during peak hours in most of the metropolitan
cities. Intelligent Transportation Systems (ITS) aim to reduce
traffic congestion by adopting various strategies such as
providing pre-trip and en-route traffic information thereby
reducing demand, adaptive signal control for area wide
optimization of traffic flow, etc. The successful deployment
and the reliability of these systems largely depend on the
accurate estimation of the current traffic state and quick and
reliable prediction to future time steps. At a macroscopic level,
this involves the prediction of fundamental traffic stream
parameters which include speed, density and flow in spacetime
domain. The complexity of prediction is enhanced by
heterogeneous traffic conditions as prevailing in India due to
less lane discipline and complex interactions among different
vehicle types. Also, there is no exclusive traffic flow model for
heterogeneous traffic conditions which can characterize the
traffic stream at a macroscopic level. Hence, the present study
tries to explore the applicability of an existing macroscopic
model, namely the Lighthill-Whitham-Richards (LWR) model,
for short term prediction of traffic flow in a busy arterial in
the city of Chennai, India, under heterogeneous traffic
conditions. Both linear and exponential speed-density
relations were considered and incorporated into the
macroscopic model. The resulting partial differential
equations are solved numerically and the results are found to
be encouraging. This model can ultimately be helpful for the
implementation of ATIS/ATMS applications under
heterogeneous traffic environment.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
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.
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.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
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Halogenation process of chemical process industries
Review of optimal speed models
1. REVIEW OF
OPTIMAL
SPEED MODEL
YUSUF ABDULLAHI AHMAD
SPS/16/MCE/00032
BAYERO UNIVERSITY KANO
M.ENG CLASS ASSIGNMENT
SUBMITTED TO:
PROF. H.M ALHASSAN
B
y
2. Introduction
The optimal speed model has not the
ability to explain only individual behavior
of a vehicle, but also its connectivity to
some macroscopic values such as traffic
flow and density
There are two major approaches to
describe the traffic flow problem, VIZ
Macroscopic
Microscopic
3. Macroscopic traffic flow models make
use of the picture of traffic flow as a
physical flow of a fluid. They
describe the traffic dynamics in
terms of aggregated macroscopic
quantities such as the traffic density,
traffic flow or the average velocity as
a function of space and time
corresponding to partial differential
equations
4. By way of contrast, microscopic
traffic models describe the
motion of each individual
vehicle. They model the action,
such as accelerations,
decelerations and lane changes
of each driver as a response to
the surrounding traffic
5. Definations
Optimal Speed Model: This
microscopic model also called, the
car-following model describes the
individual behaviour of drivers or
vehicles such as accelerations,
decelerations and lane changes of
each driver as a response to the
surrounding traffic
6. SCOPE AND LIMTATIONS
The scope of this article is to review the
Optimal Speed Models under the
Microscopic Models
The article is limited only to the Car-
Following Models
7. Theoretical Basics
A microscopic model of traffic describes
the car following behaviour as well as the
lane changing behaviour of every vehicle
in the traffic. The most famous one is the
Car-Following models where the driver
adjusts his or her acceleration according
to the conditions in front and each vehicle
is governed by an ordinary differential
equation (ODE) that depends on speed
and distance of the car in front
8. Figure 1
In microscopic models, cars are numbered to
indicate their order: n is the vehicle under
consideration, n – 1 its leader, n + 1 its
follower, etc., (Fig. 1). The behaviour of each
individual vehicle is modelled in terms of the
position of the front of the vehicle x, velocity
v = dx / dt , acceleration a = d2x / d2t.
9. Several theories have been
proposed to model car following
behaviour, which can be divided
into three classes based on
behavioural assumptions,
namely, Safe-distance models,
stimulus-response models,
optimal speed models.
10. Safe distance or collision avoidance
models try to describe simply the
dynamics of the only vehicle in relation
with his predecessor, so as to respect a
certain safe distance.
11. The second class of car-following models
consists of stimulus response concept based
on the assumption that the driver of the
following vehicle perceives and reacts
appropriately to the spacing and the speed
difference between the following and the lead
vehicles (Jabeena, 2013). It is assumed that
drivers accelerate (or decelerate) as a
reaction to three stimuli:
Desired velocity Vn = dxn/dt
- Relative spacing between the subject
vehicle and its leader
Sn =Xn+1 - Xn
- Relative speed between the subject vehicle
and its leader
Sn = Vn+1 - Vn
12. Optimal speed models are another
approach generally based on the
difference between the driver’s
desired velocity and the current
velocity of the vehicle as a stimulus
for the driver’s actions. One of the
first models learning on an analysis
of the trajectories of vehicles is
Newell (1961) has proposed the
model
13.
14. Where V(Sn(t)) is the optimal velocity
under the headway Sn(t) in eq 6
This model has directly given the speed of
n-th car by the optimal velocity function.
Based on this model, (Bando et al., 1995;
Nugrahani, 2013) introduce an Optimal
Speed Model is given by eq. 7 above and
κ is the sensitivity. Helbing and Tilch
(1998) given the function of the model as
in eq. 8 above
15. Review, Analysis study of
microscopic models based on
Optimal Speed Models
Bando et al. (1995) proposed a dynamical model
to describe many properties of real traffic flows
such as the instability of traffic flow, the
evolution of traffic congestion, and the formation
of stop-and-go waves. For the same authors
(Bando et al., 1998) analyzed the OPTIMAL
SPEED MODEL with the explicit delay time. They
proposed to introduce the explicit delay time in
order to construct realistic models of traffic flow
for that it’s included in the dynamical equation of
OPTIMAL SPEED MODEL (Eq. (7)) and become as
follows:
16. In their analysis, they found that the small explicit delay
time has almost no effects. Unlike, where the large
explicit delay time introduced, a new phase of the
congestion pattern of optimal speed model seems to
appear. However, the optimal speed model has
encountered the problems of high acceleration and
unrealistic deceleration
17. Hence Helbing and Tilch (1998) proposed a
generalized force model GFM add new term to
the right of Eq. (7).
This new term represents the impact of the
negative difference in speed on condition that
the speed of the front vehicle is lower than
that of the follower. The GFM formula is
18. The basis of GFM and taking the positive factor Sn(t)
into account. Jiang et al. (2001) obtained a more
systematic model, one whose dynamics equation is in
eq. 11.
The proposed model takes both positive and negative
velocity differences into account, they call it a full
speed difference model. The main advantage of full
speed difference model is eliminating unrealistically
high acceleration and predicts a correct delay time of
car motion and kinematic wave speed at jam density
19. Zhao and Gao (2005) argued that
previous models OPTIMAL SPEED
MODELS, GFM and full speed
difference model does not
describe the driver’s behavior
under an urgent case
20. In 2006, Zhi-Peng and Yui-Cai (2006)
conducted a detailed analysis of FVDM and
found out that second term in the right side of
Eq. (11) makes no allowance of the effect of
the inter-car spacing independently of the
relative speed. For that, they proposed a
velocity-difference-separation model (VDSM)
which takes the separation between cars into
account
21. Lijuan and Ning (2010) suggested a new car
following model based on FVDM with
acceleration of the front car considered. With
detailed study, they observed than when
FVDM simulate the car motion the entire
vehicle accelerate until the maximal speed
and when the speed reach maximal speed the
acceleration and deceleration appeared
repeatedly.
22. Li et al. (2011) proposed a new car-
following model takes into account the
effects of the acceleration difference of
the multiple preceding vehicles which
affects to the behavior of the following
vehicle just as the headway and the
speed difference, called multiple
headway, speed, and acceleration
difference
23. Jing et al. (2011) introduced a new
optimal speed function and modified
the additional term of (Eq. (11)). In the
first time, they proposed the modified
full speed difference model taking into
account a new optimal speed function
proposed by (Helbing and Tilch, 1998)
Eq. (18):
24. Finally, they introduced a new optimal
speed function (Eq. (19)) and modified
the additional term of Eq. (11) to get a
new model defined as follows, and the
new term is defined also below
25. Based on this assumption, they proposed a
new model called Comprehensive Optimal
Speed Model, its mathematical expression is
given by eq. 21 and they suggested a new
optimal speed function Vopt(Sn (t), Sn (t)) as in
eq. 22
26. Recently, Yi-Rong et al.
(2015) proposed a new
car- following model with
consideration of individual
anticipation behaviour.
However, the effect of
anticipation behaviour of
drivers has not been
explored in existing car-
following models.
In fact, they suggested a
new model including two
kinds of typical behaviour,
the forecasting of the
future traffic situation and
the reaction-time delay of
drivers in response to
traffic stimulus. The main
idea of this model is that a
driver adjusts his driving
behaviour not only
according the observed
velocity vn(t) but also the
comprehensive anticipation
information of headway
and velocity difference. The
dynamics equation is as
follows
28. Applications
Optimal Speed models or generally car-
following models are oftenly used in
decongesting road networks
29. Conclusion and New Research
Direction
After all these literature and models, still
there is a need for further research, so as
to develop a strong car-following model
which avoid the collision and interpreted
the traffic flow in a real manner.
30. References
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Bando, M., Hasebe, K., Nakanishi, K., Nakayama, A. (1998) Analysis of optimal
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Ceder, A., May, A. D. (1976) Further evaluation of single and two regime traffic
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Chandler, R., Herman, R., Montroll, E. (1958) Traffic Dynamics: Studies in Car
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