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Intelligent Traffic Monitoring System

Intelligent Traffic Monitoring System

In this paper, we work on the fuzzy controller of a 4-phase traffic light. The performance of this approach was evaluated by comparing it with the fixed-cycle time (conventional control system) using the same input data to allow a consistency check and cross-validation. Moreover, fuzzy logic control system provides better performance in terms of efficiency by reducing the waiting delay time of vehicles on traffic signals. Less waiting time as well as less traffic congestion at red traffic lights will reduce the air pollution, fuel consumption, time, sound pollution, and energy waste. Traffic signal control using fuzzy logic model for full intersections with four ways was developed. The strategy of this model simulates the control logic of experienced humans such as police officers directing traffic who often replace signal controls when intersections experience unusually heavy traffic volumes (e.g., during special Events.) The Fuzzy logic model controller makes the decision whether to terminate or extend the current green phase based on a set of fuzzy rules and real-time traffic information. This model was compared with actuated control strategies and conventional fixed time using a typical intersection with varying traffic volume levels. This model showed substantial improvements over actuated control strategies and conventional fixed time for all „Measure of Effectiveness‟ under heavy traffic volumes. Measures of effectiveness including speed, throughput-to-demand ratio, delay, time in queue were examined.
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A Microcontroller Based Intelligent Traffic Control System

A Microcontroller Based Intelligent Traffic Control System

Abstract: A new microcontroller based intelligent traffic control system is proposed in this paper. Instead of changing traffic lights automatically for a given interval, this system allows passing the vehicles considering the number of vehicles on the roads. An Atmega 32 microcontroller and infrared sensors (IR sensors) are used to implement the traffic system. An algorithm is also developed for this purpose. The system is simulated and implemented also by constructing a test rig. The results from the simulation and experimental test rig confirm its appropriateness of using in the roads of different cities. No further processing scheme is required for this intelligent traffic control system.
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STUDY OF TECHNIQUES FOR INTELLIGENT TRAFFIC CONTROL SYSTEM

STUDY OF TECHNIQUES FOR INTELLIGENT TRAFFIC CONTROL SYSTEM

In [16] the drawbacks of infrared and radio frequency were resolved as the basic requirement of these systems is, a transmitter circuit has to be installed at every traffic signal. The algorithm was inspired by YUN-CHANG[13] who used artificial intelligence(AI) for traffic control using fuzzy mapping. In [1] colour detection and coordinate analysis of the detected colour has been used. The colour detection for various UGVs was used which generated a stop signal at the traffic light whenever traffic on the other road was found more dense. This algorithm had the most optimum execution time.
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Automated and Intelligent Tunnel Traffic Control System

Automated and Intelligent Tunnel Traffic Control System

Abstract— In this paper, an automated and intelligent tunnel traffic control system has been designed considering VIT University’s tunnel. The purpose of considering this tunnel while writing this paper is because this is an ideal blind black box where vehicle drivers crossing the tunnel can’t predict what vehicle and by which speed is coming from the opposite way. Moreover, only one four-wheeler vehicle can pass at a time through this approximately 35 meter long tunnel. So, in case, if two vehicles come across in this dark tunnel, there is a good probability of collision. To avoid such collisions, VIT University’s management always keep two watchmen at either side of tunnel to aware and show stop/go signal to vehicles. Along with all these things, a pedestrian path is also there through the tunnel which is used daily by around 15000 students. Although, the VIT management is keeping its watchmen always alert to avoid any kind of accident and no accident has ever been recorded, still we have come with this idea to make these kinds of tunnels safer by making an Automated and Intelligent Tunnel Traffic Control System.
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Sustainability Impact Analysis of Intelligent Traffic System

Sustainability Impact Analysis of Intelligent Traffic System

Traffic Congestion is increasing in extensive manner globally as a result of inadequate road development, increasing number of vehicles, decreasing speed, increasing in accident rate, increasing fuel consumption rate etc. It increases the necessity for the concept of intelligence transportation system (ITS) for the conventional transportation system. ITS have a major role to play in developing countries economy, increasing driver’s safety, enhancing mobility and convenience, bring environmental benefit, increasing productive economic and employment growth. In this paper, comparative study of intelligent transportation system with conventional transportation system is done with the help of some analytical equations. And the impact analysis and sustainability of ITS and sustainable transportation system is done, in which different ITS is compared using some fraction unit in terms of value of time, emissions and safety values. By using urban mobility report calculations can be easily performed for emerging metropolitan cities. In this paper equations are proposed for calculating annual congestion cost, value of time benefit, value of emission savings and the safety savings.
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Application of It’s in Delay and Material Supply Chain Management

Application of It’s in Delay and Material Supply Chain Management

In this project, delay in material transportation from the industry to the construction site will be calculated with respect to the present and future Traffic Volume values and those values will be compared. The final output are presented in the form of graph by using MAT LAB. Also this paper suggests the methods to reduce the traffic congestion and therefore rate of fatalities can be get reduced. To calculate the traffic volume six highly populated places in the Nagercoil Town are selected. They are Kottar, Chettikulam, Derik Junction, Vadasery, Ozhuginasery and Parvathipuram. The volume of vehicles were analysed by using Intelligent Transport System such as sensors.
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A Survey on Universal Network of Intelligent Traffic System

A Survey on Universal Network of Intelligent Traffic System

In this Proposed System we are making use of Ardino controller, RFID TAG’s & RFID Reader, PCB Circuit, Switches as Hardware. We are Building Web Application for Authentication and Registration of Vehicles at the administrator side. Firstly we have to Register and Authenticate the vehicle at the on our web app, which will store the information of User vehicle in Database. Post selection will contain the area of selection for implementing the system. As we are Registering the vehicle hence we need to store that information somewhere that’s why we are making use of MySql database. Therefore we are linking the vehicle registration to the database. At the signal side we are making use of RFID Reader which scans the RFID tag which is attached to the vehicle. The RFID Reader is connected with the Arduino Controller. After scanning the vehicle the count will be increased accordingly. According to the value of the count the time of the Signal will be decided i.e when the vehicle are in large amount time for Green signal will be more and when vehicles are in less amount it will be less. The Traffic Controller will fluctuate the signal from Red to Green and Green to Red according to the count. And we are filling the Signal data hence it will be stored in our Database. After this we will get the generated Reports and Graphs.
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International Journal of Electrical & Computer Sciences IJECS-IJENS Vol: 11 No: 06 69

International Journal of Electrical & Computer Sciences IJECS-IJENS Vol: 11 No: 06 69

The main object of this study was to design and implement intelligent traffic control system. The system developed is able to sense the presence or absence of vehicles within certain range by setting the appropriate duration for the traffic signals to react accordingly. By employing mathematical functions to calculate the appropriate timing for the green signal to illuminate, the system can help to solve the problem of traffic congestion. Hardware simulation tests were successfully performed on the algorithm implemented into a PLC (programmable logic controller).
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Design Of Intelligent Traffic Light System For Efficient Traffic Fow

Design Of Intelligent Traffic Light System For Efficient Traffic Fow

As mention before, the number of vehicles on roads increases day by day and it causes serious traffic congestion problems especially during peak hours. In this case, government tend to build more traffic control system to fulfil the worsening traffic conditions. Thus, some traffic lights are built between two close junctions for example within as close as 500 meters to 1.5 kilometre of each other. This results in occurrence of constant traffic jams due to accumulation of vehicles at the respective junctions.

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MODELING AND SIMULATION OF GRID CONNECTED PHOTOVOLTAIC DISTRIBUTED GENERATION 
SYSTEM

MODELING AND SIMULATION OF GRID CONNECTED PHOTOVOLTAIC DISTRIBUTED GENERATION SYSTEM

Radio frequency identification technology (RFID) is a non-contact intelligent identification system, its main advantage lies in the wide range of recognition, information capacity, security, excellent resistance to abrasion, reusable. It can take place of the traditional bar code recognition technology, and be applied to the area of modern intelligence logistics management. This thesis introduces the working principle of the net three-tier system and RFID technology, and proposes the setting-up of the intelligent logistics system based on three-tier system and RFID technology. The thesis also studies the design and realization of the data access layer, logic layer and presentation layer for providing technical backing to the Logistics management of enterprise monitoring and decision. The experiment shows that the system can greatly improve the intelligence level of the logistics management, improve the competitiveness and economic benefits of logistics enterprises.
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Flagman and risk involved in road construction site

Flagman and risk involved in road construction site

Road construction is a necessary process of development for the comfort and safety of users. Most road construction is a tidies job whereby the duration and safety is always considered very important for the construction management. One of the most crucial factors in a road construction site is the safety of the road users and the construction workers. Proper safety sign and indication system should be utilized to ensure safety to be optimized. The most common practice of safety indication is performed by traffic controller or also known as the flagman. This practice is very crucial in a road construction site in ensuring the smoothness of the road traffic operation and to alert the road users on road construction activity. This paper highlights the risk factor of flagman in certain road construction or road maintenance site. The risk of fatal accidents is high for the flagman since he is placed in the highest risk zones. Authorities and contractors seek for various methods and measures in eliminating the usage of flagman, yet it is impossible since the usage of flagman is considered the best practice around the globe. The research highlights that the usage of a flagman can be replaced by implementing new technologies to automate the task of controlling the traffic flow without human intervention. The intelligent traffic light system which is proposed in this paper can be wisely utilized to overcome problems arising on the safety measures in a road construction site and also in the afford to be in line with the requirements of Department of Occupational Safety and Health (DOSH) and Ministry of Works to reduce fatal accidents.
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Implementing Intelligent Traffic Control System for Congestion Control Ambulance Clearance and Stolen Vehicle Detection

Implementing Intelligent Traffic Control System for Congestion Control Ambulance Clearance and Stolen Vehicle Detection

Traffic congestion is a major problem in cities of developing Countries like India. Growth in urban population and the middle-class segment consume vehicles to the rising number of vehicles in the cities. Congestion on roads eventually results in slow moving traffic, which increases the time of travel, thus be notable as one of the major issues in metropolitan cities. Emergency vehicles like ambulance and fire trucks need to reach their destinations at the earliest. If they spend a lot of time in traffic jams, valued lives of many people may be in danger. Here the image sequences from a camera are analyzed using various edge detection and object counting methods to obtain the most efficient technique. Then, the number of vehicles at the intersection is evaluated and traffic is efficiently managed. The traffic signal indication continuously glows to green as long as the emergency vehicle is waiting at the traffic lane. After the vehicle crossed the junction, automatically the traffic signals follow the previous pattern generation of traffic signals. This can be implemented in LABVIEW.
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An intelligent vision system for wildlife monitoring

An intelligent vision system for wildlife monitoring

The use of fixed-structure wildlife crossings has been well discussed in previous work. Such examples have taken the form of wildlife bridges (Bond & Jones 2008) and tun- nelling systems (Mata, Hervs, Herranz, Surez & Malo 2008) which provide a safe path to surrounding areas and minimising the impact upon the ecosystem. The use of these structures has formed a basis for the preservation of wildlife in newly developed areas where a risk to the wildlife is involved (i.e. risk of injury or death due to contact with traffic). In order to monitor the effectiveness of the implementations, road kill survey- ing (Mata et al. 2008) (Bond & Jones 2008) in conjunction with activity monitoring within the structures is employed to gauge an overview of the approximate usage statis- tics. The road kill surveys performed provide a method of determining whether the development of such structures has an effect in reducing the number of animals which are killed or injured due to contact with traffic.
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Internet of Things Based Smart Transportation Systems

Internet of Things Based Smart Transportation Systems

The parking assistance is provided using the following steps. Sensors detect whether a parking space is occupied and transmit data to the central server. Smart phone app requests a parking space and guides the drivers to that free space. Parking fee is directly paid through the smart phone app. Access to loading zones and residential parking zones are restricted. IoT traffic architecture comprises of RFID, Wireless sensor technologies, Ad Hoc networking and internet based information systems. Intelligent traffic IoT is divided into three layers such as Application layer, Acquisition layer and Network layer. Application layer is responsible for intelligent traffic management, intelligent driver management, information collecting and monitoring and information services. Network layer makes use of WiFi, 3G/4G and WiMax or GPRS. Acquisition layer employs RFID, RFID reader, WSN, Intelligent terminals.
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A Framework for Intelligent Decision Support System for Traffic Congestion Management System

A Framework for Intelligent Decision Support System for Traffic Congestion Management System

US Federal transportation legislation requires Metro- politan Planning Organizations (MPO) to develop and implement a CMS as part of the metropolitan transporta- tion planning process [22]. Most of MPOs use traditional transportation planning modeling approach and a com- mercial specialized software as a part of this process to evaluate traffic relive and the length and cost for deferent alternative solutions prior to submitting their recom- mendations. This process requires highly educated, trained and expert personnel in transportation planning and engineering field. It would also require very user friendly transportation planning software that includes a state of the art transportation network equilibrium mod- els. Models that are significantly more advanced than the traditional four steps sequential. Models that combine single class Trip Generation- Trip Distribution- Modal Split-Trip Assignment (TG-TD-MS-TA) [41], or a mul- ticlass combined model [36] that combine TG-TD- MS- TA in addition to Departure Time for different class of traveler depend on income, car ownership, trip pur- pose, … etc.
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A Review on Automatic Traffic Monitoring System

A Review on Automatic Traffic Monitoring System

Stationary Camera: [8] A serious objective in the development of a road monitoring system based on image analysis is flexibility. The ability of the system to react to a changing scene while carrying out a variety of goals is a key issue in designing replacements to the existing methods of traffic data collection. This flexibility can be achieved only by a generalized approach to the problem which includes little or no a priori knowledge of the analyzed scene. Such a system will be able to adapt to ‘changing circumstances’, which may include the following: changing light levels, i.e. night–day, or sunny–cloudy; deliberately altered camera scene, perhaps altered remotely by an operator. Automatic lane finding (ALF) is an important task for an adaptive traffic monitoring system. ALF can assist and simplify the installation of a detection system. It enables the system to adapt to different environmental conditions and camera viewing positions. It also enables applications in active vision systems, where the camera viewing angle and the focal length of the camera lens may be controlled by the system operator to find an optimum view.
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Adaptive Traffic Control System: The Smart and Imperative Traffic Monitoring System for India

Adaptive Traffic Control System: The Smart and Imperative Traffic Monitoring System for India

Abstract: Increasing traffic congestion is a constant source of frustration, time loss, and expense to users and managers of transportation systems. Cities, countries, and state transportation agencies are persistently searching for ways to mitigate urban traffic congestion, while minimizing costs and maintenance requirements. India battles with the dual challenge of pollution and congestion. Fifteen out of the top twenty most polluted cities in the world belong to India. In economic terms, the congestion losses combined for India's top four metros are over USD 22 billion annually. These high levels of congestion have a huge cost in the form of reduced productivity, fuel wastage, accidents, and traffic-related stress, simply due to time spent in traffic jams. Despite the increase in road length, newly constructed highways, and better connectivity, the problem of traffic congestion persists. With increasing vehicular traffic and limited road space, there is a dire need to adopt solution-centric and advanced technological measures to achieve free traffic flows in the capital city. Technology can play a pivotal role in identifying these mobility gaps and transforming existing transportation services.
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Intelligent Traffic Light Control System Based On Real Time Traffic Flows

Intelligent Traffic Light Control System Based On Real Time Traffic Flows

Abstract: In this project, we are designing a system that utilize and proficiently manages traffic light controllers is to be had. Aim of the system is the instantaneous adaptive to control traffic light. The presented methods for traffic administration and control are not effectively efficient in terms of presentation or performance, cost, support and maintenance. We present a traffic management or controlling system based on new traffic transportation and using new technology for controlling or calculating the traffic sequences. The technique is vigorously adaptive to traffic circumstances on both intersections i.e multiple as well as single. The simulation projected by us shows the competence of the projected scheme in solving traffic jamming in provisions of the typical waiting time and average queue length on the single intersection and thus in turn efficient universal traffic flow be in command of on numerous intersections.
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Intelligent Monitoring System for Elder People

Intelligent Monitoring System for Elder People

At present, there are a few guardianship systems for elder people. Zhejiang University of Technology released a remote monitoring system[2], which set up the prediction model by collecting data. But, it cannot send alarming information in real time. Yang Haijian et al. [3] designed a monitoring intelligent system for elder people based on Internet technology. It has timely alarm function, but it may have false alarm. Chongqing University of posts and telecommunications designed a remote monitoring system for elder people in case of falls in intelligent home [4]. It has reduced the false alarm rate after the cancellation of the alarm button, but there is still a possibility of false positives, and the monitoring coefficient is single, only monitoring the fall action, unable to monitor other symptoms of the elderly. Shi Dong [5] and others by support vector machine (SVM) algorithm to upload of data processing, but it is only through fall SVM threshold value judgment, the characteristics of single algorithm and parameters, you can't measure other abnormal behavior other than the fall.
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STUDY OF MICROSCOPIC PARAMETERS OF HETEROGENEOUS TRAFFIC FOR AMRAVATI CITY

STUDY OF MICROSCOPIC PARAMETERS OF HETEROGENEOUS TRAFFIC FOR AMRAVATI CITY

Abstract: Developing countries like India are climbing the ladder of development very fast. So in relation to the development there is rapid increase in traffic volume. Mainly traffic in developing country is heterogeneous nature that means it consist of vehicles that move with different speed, have different size, have different operating characteristics and vehicle spacing may also vary. There is acute need of an efficient and intelligent traffic system to deal with problems arising due to heterogeneous nature of traffic .Traditionally in India whatever design equations are used to design roads, considered the traffic nature as homogeneous but as said earlier Indian traffic conditions are heterogeneous in nature .This paper reviews the mixed traffic in cities and finds out which factor need to be considered in such mixed traffic conditions. In this paper we considered the microscopic parameters such as speed, flow, density at a signalized intersection, which intern will help to develop new equations for heterogeneous traffic conditions in Indian cities.
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