This document discusses the development of an intelligent transportation system based on IoT to help control traffic and reduce congestion. It proposes a system that would use sensors and real-time data collection to monitor traffic conditions and automatically adjust traffic light signals accordingly. This is aimed to improve traffic flow and reduce time wasted in traffic jams. The system would collect data from vehicles and sensors around roads to analyze traffic patterns and control lights based on current traffic density to minimize congestion in a smart, dynamic way.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Artificial intelligence in transportation systemPoojaBele1
A presentation to show the use of artificial intelligence in transportation system.
Artificial Intelligence makes the transportation system more easier.
This presentation contains points to be studies in this field.
Leading cities are using technology to evolve their transport systems from single modes to integrated ones, improve transport services and provide an improved value proposition to customers.
Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...IJCNCJournal
In recent years, a new wireless network called vehicular ad-hoc network (VANET), has become a popular research topic. VANET allows communication among vehicles and with roadside units by providing information to each other, such as vehicle velocity, location and direction. In general, when many vehicles likely to use the common route to proceed to the same destination, it can lead to a congested route that should be avoided. It may be better if vehicles are able to predict accurately the traffic congestion and then avoid it. Therefore, in this work, the deep reinforcement learning in VANET to enhance the ability to predict traffic congestion on the roads is proposed. Furthermore, different types of neural networks namely Convolutional Neural Network (CNN), Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM) are investigated and compared in this deep reinforcement learning model to discover the most effective one. Our proposed method is tested by simulation. The traffic scenarios are created using traffic simulator called Simulation of Urban Mobility (SUMO) before integrating with deep reinforcement learning model. The simulation procedures, as well as the programming used, are described in detail. The performance of our proposed method is evaluated using two metrics; the average travelling time delay and average waiting time delay of vehicles. According to the simulation results, the average travelling time delay and average waiting time delay are gradually improved over the multiple runs, since our proposed method receives feedback from the environment. In addition, the results without and with three different deep learning algorithms, i.e., CNN, MLP and LSTM are compared. It is obvious that the deep reinforcement learning model works effectively when traffic density is neither too high nor too low. In addition, it can be concluded that the effective algorithms for traffic congestion prediction models in descending order are MLP, CNN, and LSTM, respectively.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Artificial intelligence in transportation systemPoojaBele1
A presentation to show the use of artificial intelligence in transportation system.
Artificial Intelligence makes the transportation system more easier.
This presentation contains points to be studies in this field.
Leading cities are using technology to evolve their transport systems from single modes to integrated ones, improve transport services and provide an improved value proposition to customers.
Traffic Congestion Prediction using Deep Reinforcement Learning in Vehicular ...IJCNCJournal
In recent years, a new wireless network called vehicular ad-hoc network (VANET), has become a popular research topic. VANET allows communication among vehicles and with roadside units by providing information to each other, such as vehicle velocity, location and direction. In general, when many vehicles likely to use the common route to proceed to the same destination, it can lead to a congested route that should be avoided. It may be better if vehicles are able to predict accurately the traffic congestion and then avoid it. Therefore, in this work, the deep reinforcement learning in VANET to enhance the ability to predict traffic congestion on the roads is proposed. Furthermore, different types of neural networks namely Convolutional Neural Network (CNN), Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM) are investigated and compared in this deep reinforcement learning model to discover the most effective one. Our proposed method is tested by simulation. The traffic scenarios are created using traffic simulator called Simulation of Urban Mobility (SUMO) before integrating with deep reinforcement learning model. The simulation procedures, as well as the programming used, are described in detail. The performance of our proposed method is evaluated using two metrics; the average travelling time delay and average waiting time delay of vehicles. According to the simulation results, the average travelling time delay and average waiting time delay are gradually improved over the multiple runs, since our proposed method receives feedback from the environment. In addition, the results without and with three different deep learning algorithms, i.e., CNN, MLP and LSTM are compared. It is obvious that the deep reinforcement learning model works effectively when traffic density is neither too high nor too low. In addition, it can be concluded that the effective algorithms for traffic congestion prediction models in descending order are MLP, CNN, and LSTM, respectively.
Intelligent transportation systems (ITS) are advanced applications which, without embodying intelligence as such, aim to provide innovative services relating to different modes of transport and traffic management and enable various users to be better informed and make safer, more coordinated, and 'smarter' use of transport networks
INTELLIGENT TRANSPORTATION SYSTEM(ITS) PRESENTATION Mr. Lucky
It is a brief presentation on the topic of INTELLIGENT TRANSPORTATION SYSTEM(ITS). This is made by final year students of civil branch pursuing their B.tech. from Abdul Kalam Technical University.
In this presentation we try to include the basic methodologies and emerged technologies now a days in transportation system, and also the new concepts of blind turn safety and Spikes on roads at Traffic Signals.
Big Data and Intel® Intelligent Systems Solution for Intelligent transportationOdinot Stanislas
Explications sur comment il est possible d'utiliser la puissance d'Hadoop pour analyser les vidéos des caméras présentent sur les réseaux routiers avec pour objectif d'identifier l'état du trafic, le type de véhicule en déplacement et même l'usurpation de plaques d'immatriculation.
This Presentation mentions the various ways in which transportation can be improved by use of "Intelligent Transportation System" and it also includes case study on "The Eastern Freeway, Mumbai."
Techniques for Smart Traffic Control: An In-depth ReviewEditor IJCATR
Inadequate space and funds for the construction of new roads and the steady increase in number of vehicles has prompted
scholars to investigate other solutions to traffic congestion. One area gaining interest is the use of smart traffic control systems (STCS)
to make traffic routing decisions. These systems use real time data and try to mimic human reasoning thus prove promising in vehicle
traffic control and management. This paper is a review on the motivations behind the emergence of STCS and the different types of
these systems in use today for road traffic management. They include – fuzzy expert systems (FES), artificial neural networks (ANN)
and wireless sensor networks (WSN). We give an in depth study on the design, benefits and limitations of each technique. The paper
cites and analyses a number of successfully tested and implemented STCS. From these reviews we are able to derive comparisons of
the STCS discussed in this paper. For instance, for a learning or adaptive system, ANN is the best approach; for a system that just
routes traffic based on real time data and does not need to derive any data patterns afterwards, then FES is the best approach; for a
cheaper alternative to the FES, then WSN is the least costly approach. All prove effective in traffic control and management with
respect to the context in which each of them is used.
Futuristic intelligent transportation system architecture for sustainable roa...Tristan Wiggill
A presentation by Dr Dillip Kumar Das, Ms. Sheethal Liz Tom and Mr. James Honiball. Delivered during the 2016 Southern African Transport Conference (SATC), held in Pretoria, South Africa.
Intelligent transportation system for buses in delhigohypindia
Intelligent Transportation System or ITS comprises of a single control unit that controls the whole system, it comes with emergency switches that help in time of emergencies.
Smart Road Technology for Traffic Management and ITS Infrastructure Assessmen...IJAEMSJORNAL
This technical work describe infrastructure requirement and the working principles and procedures involved in operation of a Smart Road. A Smart Road is similar to a conventional highway but the difference is, it is equipped with the electronic gadgets required to capture static and dynamic physical entities occupied on the road at a given time and location. Nowadays traffic safety and highway congestion has become a serious concern to the Authorities and required to be managed them within the available resources. Also it is not possible to increase the capacity of highway infrastructure to compete with increase in traffic. In cities on highway system, large amount of traffic data being generated and an integrated approach is required for the efficient management transportation system. Smart Road is an innovative approach wherein Information Communication Technologies (ICT) is merged with traditional infrastructure and integrated with digital technologies. Critical examination of literature review reveals that many technologies are available for data capturing and management. Notable among them are by using ultrasonic sensors, light sensors, motion sensors, camera and IOT devices. The data collected by the devices would be managed through cloud computing and big data analytic methods. To assess the current traffic situation spot speeds and traffic volumes are captured for peak and non-peak on the Express Highway and from the data captured 85th percentile speed and LoS are estimated. Smart road technology is discussed for transportation system management. And IT infrastructure requirement for capturing traffic related data demonstrated for the selected road in Muscat.
Intelligent transportation systems (ITS) are advanced applications which, without embodying intelligence as such, aim to provide innovative services relating to different modes of transport and traffic management and enable various users to be better informed and make safer, more coordinated, and 'smarter' use of transport networks
INTELLIGENT TRANSPORTATION SYSTEM(ITS) PRESENTATION Mr. Lucky
It is a brief presentation on the topic of INTELLIGENT TRANSPORTATION SYSTEM(ITS). This is made by final year students of civil branch pursuing their B.tech. from Abdul Kalam Technical University.
In this presentation we try to include the basic methodologies and emerged technologies now a days in transportation system, and also the new concepts of blind turn safety and Spikes on roads at Traffic Signals.
Big Data and Intel® Intelligent Systems Solution for Intelligent transportationOdinot Stanislas
Explications sur comment il est possible d'utiliser la puissance d'Hadoop pour analyser les vidéos des caméras présentent sur les réseaux routiers avec pour objectif d'identifier l'état du trafic, le type de véhicule en déplacement et même l'usurpation de plaques d'immatriculation.
This Presentation mentions the various ways in which transportation can be improved by use of "Intelligent Transportation System" and it also includes case study on "The Eastern Freeway, Mumbai."
Techniques for Smart Traffic Control: An In-depth ReviewEditor IJCATR
Inadequate space and funds for the construction of new roads and the steady increase in number of vehicles has prompted
scholars to investigate other solutions to traffic congestion. One area gaining interest is the use of smart traffic control systems (STCS)
to make traffic routing decisions. These systems use real time data and try to mimic human reasoning thus prove promising in vehicle
traffic control and management. This paper is a review on the motivations behind the emergence of STCS and the different types of
these systems in use today for road traffic management. They include – fuzzy expert systems (FES), artificial neural networks (ANN)
and wireless sensor networks (WSN). We give an in depth study on the design, benefits and limitations of each technique. The paper
cites and analyses a number of successfully tested and implemented STCS. From these reviews we are able to derive comparisons of
the STCS discussed in this paper. For instance, for a learning or adaptive system, ANN is the best approach; for a system that just
routes traffic based on real time data and does not need to derive any data patterns afterwards, then FES is the best approach; for a
cheaper alternative to the FES, then WSN is the least costly approach. All prove effective in traffic control and management with
respect to the context in which each of them is used.
Futuristic intelligent transportation system architecture for sustainable roa...Tristan Wiggill
A presentation by Dr Dillip Kumar Das, Ms. Sheethal Liz Tom and Mr. James Honiball. Delivered during the 2016 Southern African Transport Conference (SATC), held in Pretoria, South Africa.
Intelligent transportation system for buses in delhigohypindia
Intelligent Transportation System or ITS comprises of a single control unit that controls the whole system, it comes with emergency switches that help in time of emergencies.
Smart Road Technology for Traffic Management and ITS Infrastructure Assessmen...IJAEMSJORNAL
This technical work describe infrastructure requirement and the working principles and procedures involved in operation of a Smart Road. A Smart Road is similar to a conventional highway but the difference is, it is equipped with the electronic gadgets required to capture static and dynamic physical entities occupied on the road at a given time and location. Nowadays traffic safety and highway congestion has become a serious concern to the Authorities and required to be managed them within the available resources. Also it is not possible to increase the capacity of highway infrastructure to compete with increase in traffic. In cities on highway system, large amount of traffic data being generated and an integrated approach is required for the efficient management transportation system. Smart Road is an innovative approach wherein Information Communication Technologies (ICT) is merged with traditional infrastructure and integrated with digital technologies. Critical examination of literature review reveals that many technologies are available for data capturing and management. Notable among them are by using ultrasonic sensors, light sensors, motion sensors, camera and IOT devices. The data collected by the devices would be managed through cloud computing and big data analytic methods. To assess the current traffic situation spot speeds and traffic volumes are captured for peak and non-peak on the Express Highway and from the data captured 85th percentile speed and LoS are estimated. Smart road technology is discussed for transportation system management. And IT infrastructure requirement for capturing traffic related data demonstrated for the selected road in Muscat.
Automated signal pre-emption system for emergency vehicles using internet of ...IAESIJAI
Vehicle administration systems are one of the major highlights especially in urban areas. One important critical component that requires attention are signal preemption systems. Every single work on traffic congestion identification either requires prior learning or long time to distinguish and perceive the closeness of congestion. FutureSight performs predictive analysis and control of traffic signals through the application of machine learning to aide ambulances in such a way that, a signal turns green beforehand so as to ensure an obstacle free path to the ambulance from source to destination based on various parameters such as traffic density, congestion length, previous wait times, arrival time thereby eliminating the need for human intervention. The method allows flexible interface to the driver to enter the hospital details to reach the destination with in time. The app then plans out the fastest route from the pickup spot to the selected hospital and sends this route to the system. The system then predict the amount of time that is required by the signal to remain green so as to clear all traffic at that specific junction before the ambulance arrives at that location.
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...IJSRD
During recent years traffic congestion is become a serious problem in almost all cities. Due to the high density of traffic, pedestrians find it difficult to cross the road. Even though several advanced strategic plans are introduced to regulate the traffic but due to lack of provision for on- road pedestrian crossing, rate of accidents become very high. One such provision is given is elevated path for pedestrian to cross the road, but the elderly person finds it difficult to use that. Hence an idea is proposed to help the elderly people by giving provision for on- road pedestrian crossing in high density traffic areas like near schools, hospitals, markets, etc. which reduces the accidents rate also. To implement this, here an additional time delay is introduced in the traffic signal for pedestrian crossing in addition to vehicle crossing in all possible direction. Additionally, provision is given to track the vehicle which violates the traffic rules and to clear the traffic for emergency vehicles. All the above said three parameters can be simulated by using PROTEUS software.
ITS is the system defined as the electronics, advanced technology, communications or information processing used singly or integrated to enhance safety, mobility, and the economic vitality of the surface transportation system. The Intelligent Transport Systems (ITS) makes automobiles and the road traffic infrastructure intellectual and information-oriented in an integrated way to provide a safe and comfortable traffic system.
Public transport service is one of the most preferred
modes of transportation in today’s smart cities. People prefer
public transport mainly for the cost benefit reasons. The
problems faced by the people while using the public transport
can be overcome by the technology such as Internet of Things
(IOT). In this paper, we present how this technology can be
applied to eliminate the problems faced by the passengers of the
public bus transport service. The Internet of Things technology is
used to provide the passengers waiting at the bus stop with real
time information of the arriving buses. Information such as
arrival time, crowd density and traffic information of the
arriving buses are predetermined and provided to the passengers
waiting at the bus stop. The display boards fitted at the bus stops
provide the real time bus navigation information to the waiting
passengers. This Smart Bus Navigation system enables the
passengers to make smart decisions regarding their bus journey.
This system reduces the anxiety and the waiting time of the
passenger’s at the bus stop. The smart bus navigation system
creates a positive impact and increases the number of people who
prefer to use the public mode of transportation.
Deployment of Intelligent Transport Systems Based on User Mobility to be Endo...ijbuiiir1
The emerging increase in vehicles and very high traffic, demands the need for improved Intelligent Transport Systems (ITS). The available ITSs do not meet all the requirements of the present day situation in providing safetravels and avoidance of congestionin spite of its limitations on road. Intelligent Transport Systemsrequiremore research and implementation of better solutions on the traffic network with increased mobility and more rapid acquisition of data by sense network technology. In this paper a review is made on the present ITS where research is required so that improvement in the course of implementing reality mining can enhance the behavior of ITS. This will breed a forward leap in the improvement of safety and convenience of personal and commercial travel and in turn guarantee an ultimate drop in fatality in the society
A Brief review to the intelligent controllerswhich used to control trafficflowjournal ijrtem
Abstract: Nowadays, with the social progress and economic development, the transport is playing a pivotal role in cities. The main problem is the traffic jams due to vehicle congestion phenomena at intersection. To solve this problem an intelligent traffic control system that continuously sensing and monitoring traffic conditions and adjusting the timing of traffic lights according to the actual traffic load must be implemented. At present , a variety of traffic control has been designed using electrical technologies.Traffic load is highly dependent on parameters such as day-time , season weather and unpredictable situationssuch as accidents, special events or construction activities, these parameters will cause delay on the traffic flow. The traffic system in Libya is still controlled by old fashion ( i.e equally time interval signal control)and no intelligent system used to monitor and control the traffic flow. The scope of this paper is to review the main Intelligent controllerswhich used in smart traffic systems. Keywords: Traffic, Intelligent control, Programmable logic, Neural network, Fuzzy logic
Importance of GIS and Remote Sensing in Modern Intelligent Transport SystemKam Raju
Technology has been driving the developments in the realm of transportation from the times of industrial revolution to the present day digital revolution
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The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
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Length: 30 minutes
Session Overview
-------------------------------------------
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Intelligent transportation system based on iot service for traffic control
1. 1
Intelligent Transportation System Based on IoT
Service for Traffic Control
Mahmudul Hasan Bari, Mithila Farjana Rimi, Mohammad Golam Sarwar Bhuiyan
Bangladesh Army University of Engineering and Technology (BAUET)
tipumahmudulhasan88@gmail.com, mithila.rimi47@gmail.com, csesarwar@gmail.com
Abstract— The variety of vehicles is step by step
increasing day by day everywhere the globe. Vehicles
are increasing within the metropolitan cities of
Bangladesh. As a result, large traffic congestions and
traffic congestion are increasing day by day. For traffic
congestions, a large quantity of your time is being
wasted by the subject of metropolitan space. During this
thesis associate degree, the intelligent control system is
developed by the US to attenuate the congestions of the
traffic system. Here the stoplight is mechanically
management by the system. The roads are open for
moving forward or shut for moving forward is
controlled by the system in real time and as necessary.
Once a definite variety of auto is stuck within the
stoplight then the opposite a part of the trail shows red
signal and therefore the full path’s signal is
inexperienced. once a couple of time once initial path
can reach a definite number of the auto then the second
path’s signal can grow to be red and therefore the first
path’s signal can grow to be inexperienced. Our
intelligent control system will observe the temperature
of the atmosphere, speed observance, traffic
investigation, presence detection, vehicle classification,
traffic information assortment conjointly. The analytics
platform gets period information from sensors, traffic
signals & GIS mapping of roads. Traffic congestion
encompasses a variety of negative effects in our way of
life. It is wasting our valuable time. several of the
foremost standard information method techniques or
systems contain huge information techniques, it together
with data processing, machine learning, artificial
intelligence, information fusion, social networks than on.
Huge information techniques facilitate to simply
information passing server to server. We’ll use Apache
Spark to analyses and method IoT connected vehicle’s
information and send the processed information to a
true time traffic observance dashboard. It helps to a
very large quantity of manage information.
Keywords—Traffic congestion; Traffic signals;
Sensors; GIS mapping; Machine learning; Artificial
intelligence.
I. INTRODUCTION
Intelligent Transportation Systems or ITS could be
new transportation that aims to resolve a spread of
road traffic problems like traffic accidents and
congestion by linking folks, roads associate degreed
vehicles in info. Intelligent Transport System aims to
understand traffic efficiency by minimizing traffic
problems. Tie up in cities could also be a significant
downside primarily in developing countries, to counter
this, many models of traffic systemhas been projected
by fully totally different students. Alternative ways in
which square measure projected to make the traffic
system smarter, reliable and durable A model is, in
addition, projected that using infrared proximity
sensors and a centrally placed micro-controller and
uses transport length on a length to implement
Intelligent Traffic observation System. The Intelligent
Control System is to decrease traffic congestions or
traffic congestion that's occurred by the control
system. We have a tendency to shall succeed to
attenuate the traffic congestions created by the
mounted stoplight system with the assistance of net of
Things (IoT).
II. TRAFFIC CONGESTION
Intelligent Transportation Systems or ITS could be
new transportation that aims to resolve a spread of
road traffic problems like traffic accidents and
congestion by linking folks, roads associate degreed
vehicles in info. Intelligent Transport System aims to
understand traffic efficiency by minimizing traffic
problems. tie up in cities could also be a significant
downside primarily in developing countries, to counter
this, many models of traffic systemhas been projected
by fully totally different students. Alternative ways in
which square measure projected to make the traffic
system smarter, reliable and durable A model is, in
addition, projected that using infrared proximity
sensors and a centrally placed micro-controller and
uses transport length on a length to implement
Intelligent Traffic observation System. The Intelligent
Control System is to decrease traffic congestions or
traffic congestion that's occurred by the control system.
2. 2
We have a tendency to shall succeed to attenuate the
traffic congestions created by the mounted stoplight
systemwith the assistance ofnet of Things (IoT).
A. Impacts of Traffic Congestion
Traffic congestion has a number of negative effects
Wasting valuable time.
Delay which will end in late arrival for
employment, office, school.
Inability to guess correct travel time.
Increased wasting of fuel and pollution
conjointly.
Congestion of traffic might block the passage
of emergency vehicles.
Congestion of traffic might block the passage
of emergency vehicles.
B. Purpose:
On a daily, most of the tie-up or traffic jams occur due
to the stoplight system. Tie up is nothing however an
extra waste of your time from one’s daily routine. It's
noticed that the majority of the tie-up occurs
throughout the morning and late afternoon.
Essentially throughout that point, the scholars and
employers attend college, college, university or
workplace so that they even be late for his or her
workplace or establishments at the stoplight spot.
because the variety of road users perpetually
increasing with reference to time, and resources
provided by current infrastructures square measure
restricted, intelligent management of traffic can
become a really vital issue within the future. Avoiding
unwanted traffic congestion would be useful to each
atmosphere and economy.
Our good stoplight and congestion system designed to
own an answer to tie up the downside of metropolitan
cities of the country which will lead to minimizing the
economic price and save time conjointly. By
decreasing the congestion of cities we are able to
conjointly decrease the additional waste of energy like
CNG, oil for special case electricity conjointly.
C. Intelligent Traffic Control System
We propose intelligent system supported IOT that's
ready to control the traffic system through traffic
signals on the idea of current traffic density. This
control system of Bangladesh is controlled by the
traffic police manually. It's terribly exhausting to
regulate traffic for one man. Some roads of national
capital town have associate degree automatic system
for dominant the stoplight. It's mounted amount for
passing the traffic from either side of the road that
causes congestion downside. Our intelligent control
system can solve this downside on a real-time basis
and that we conjointly add some new device to urge
additional info simply. This technique can observe
this traffic condition then take a call that that road will
stay open and that road is stay shut and conjointly
take a call that vehicles square measure emergency.
All info square measure keep in an exceedingly
central server, in order that Police command center is
unendingly fed to the analytics platform for analysis
to alter the fast higher cognitive process. this often
solves the matter of smuggled work.
D. Our aim:
• To style a wise control system.
• To improve traffic safety.
• To relieve tie up.
• To improve transportation potency.
• To increase energy potency.
• Affects each, quality of life and economy.
III. MOTIVATION AND STUDY
Intelligent Transport System aims to understand
traffic efficiency by minimizing traffic problems. It
aims to chop back the time of commuters what is
more as enhances their safety and luxury. The
applying of ITS is widely accepted and utilized in
many countries lately. Our country till presently
doesn’t have any running intelligent system to avoid
wasting peoples time. So, huge cities like Dacca
happens many ties up. If there is an associate degree
intelligent system to manage the traffic, which may
save peoples time. though ITS might consult with all
modes of transport, the directive of the EU Union
2010/40/EU, created on the seven July 2010, outlined
ITS as systems within which info and communication
technologies square measure applied within the field
of road transport, together with infrastructure,
vehicles and users, and in traffic management and
quality management, in addition as for interfaces with
alternative modes of transport.[1] ITS might improve
the potency of transport in an exceeding variety of
things, i.e. road transport, traffic management,
mobility, etc.[2]Demand for travel is anticipated to
extend by five hundredths over the next twenty years.
Currently, there exist many works on specific ITS
systems [3, 4, 5], on accessible technologies [6, 7], or
attainable fields of applications [8, 9]. Alternative
works try and recall the history of those systems and
to make a state of the art of those technologies each in
Europe and within the remainder of the globe [10].
3. 3
IV. IMPLEMANTATION AND TESTING
A. Architecture
Figure 1. Architecture for smart traffic control.
B. Flowchart of Implemented System
Figure 2: Flowchart for smart traffic control.
C. Code
Figure 3. Apache spark code forsmart traffic control.
Figure 4. Simulation result for one week.
V. TOOLS
A. Server
A server could be a computer virus or a tool that gives
practicality for alternative programs or devices,
known as "clients". This design is termed the client-
server model, and one overall computation is
distributed across multiple processes ordevices.
B. Data Mining
Data mining is that the method of discovering patterns
in giant information sets involving ways at the
intersection of machine learning, statistics, and
information systems.
C. Big Data
Big information could be a field that treats of the way
to research, consistently extract info from, or
otherwise, wear down information sets that area unit
large or advanced to be restricted by an ancient data-
processing application software system.
D. Apache Spark
Apache Spark is an associate degree ASCII text file
distributed all-purpose cluster-computing framework.
Originally developed at the University of the
American state, Berkeley's AMPLab, the Spark
codebase was later given to the Apache software
systemFoundation, that has maintained it since.
These tools are needed to collect data and process in
apache spark of python.
4. 4
VI. CONCLUSION
The Intelligent Control System is to decrease traffic
congestions or tie up that's occurred by the control
system. We have a tendency to shall succeed to
reduce the traffic congestions created by the fastened
light system with the assistance of the web of Things
(IoT). That's captivated with real time instead of a set
time. We've detected that our intelligent control
system is far economical and also the value of
production is extremely low. As a result “Intelligent
control System” is appropriate enough to use
commercially within the future.
REFERENCES
[1]. DIRECTIVE 2010/40/EU OF THE EUROPEAN
PARLIAMENT AND OF THE COUNCIL of 7 July 2010. eur-
lex.europa.eu
[2]. "Reducing delay due to traffic congestion. [Social Impact]. ITS.
The Intelligent Transportation Systems Centre andTestbed". SIOR,
Social Impact Open Repository.
[3].Sengupta, R., Rezaei, S., Shladover, S.E., Cody, D., Dickey, S.,
Krishnan, H. (2007). Cooperative collision warning systems:
Concept definition and experimental implementation. Journal of
Intelligent TransportationSystems, 11(3), 143-155.
[4]. Bohli, J.M., Hessler, A., Ugus, O., Westhoff, D. (2008). A
secure and resilient WSN roadside architecture for intelligent
transport systems. Proceedings of the first ACM conference on
Wireless networksecurity, ACM, 161-171.
[5]. Arief, B., Blythe, P., Fairchild, R., Selvarajah, K., Tully, A.
(2008). Integrating smartdust into intelligent transportation systems.
10th International Conference on Application of Advanced
Technologies in Transportation, 27-31.
[6]. Hasan, M.K.(2010). A Framework for Intelligent Decision
Support System for Traffic Congestion Management System,
Scientific Research Publishing.
[7]. Gartner N. H., Stamatiadis C., Tarnoff, P. J. (1995).
Development of Advanced Traffic Signal Control Strategies for
Intelligent Transportation Systems: Multilevel Design.
Transportation Research Record, 1494.
[8]. Bishop R. (2000). A survey of Intelligent Vehicle Applications
Worldwide, IEEE Intelligent Vehicles Symposium 2000, October
3-5, Dearborn(MI),USA.
[9]. Masaki, I. (1998). Machine-vision systems for intelligent
transportationsystems.IEEEIntelligent Systems, 24-31.
[10]. Figueiredo, L., Jesus, I., Machado, J.A.T., Ferreira, J.R.,
Martins de Carvalho, J.L. (2001). Towards the development of
intelligent transportation systems, 4th IEEE Intelligent
Transportation Systems Conference, Oakland(CA), 1207-1212
![2
We have a tendency to shall succeed to attenuate the
traffic congestions created by the mounted stoplight
systemwith the assistance ofnet of Things (IoT).
A. Impacts of Traffic Congestion
Traffic congestion has a number of negative effects
Wasting valuable time.
Delay which will end in late arrival for
employment, office, school.
Inability to guess correct travel time.
Increased wasting of fuel and pollution
conjointly.
Congestion of traffic might block the passage
of emergency vehicles.
Congestion of traffic might block the passage
of emergency vehicles.
B. Purpose:
On a daily, most of the tie-up or traffic jams occur due
to the stoplight system. Tie up is nothing however an
extra waste of your time from one’s daily routine. It's
noticed that the majority of the tie-up occurs
throughout the morning and late afternoon.
Essentially throughout that point, the scholars and
employers attend college, college, university or
workplace so that they even be late for his or her
workplace or establishments at the stoplight spot.
because the variety of road users perpetually
increasing with reference to time, and resources
provided by current infrastructures square measure
restricted, intelligent management of traffic can
become a really vital issue within the future. Avoiding
unwanted traffic congestion would be useful to each
atmosphere and economy.
Our good stoplight and congestion system designed to
own an answer to tie up the downside of metropolitan
cities of the country which will lead to minimizing the
economic price and save time conjointly. By
decreasing the congestion of cities we are able to
conjointly decrease the additional waste of energy like
CNG, oil for special case electricity conjointly.
C. Intelligent Traffic Control System
We propose intelligent system supported IOT that's
ready to control the traffic system through traffic
signals on the idea of current traffic density. This
control system of Bangladesh is controlled by the
traffic police manually. It's terribly exhausting to
regulate traffic for one man. Some roads of national
capital town have associate degree automatic system
for dominant the stoplight. It's mounted amount for
passing the traffic from either side of the road that
causes congestion downside. Our intelligent control
system can solve this downside on a real-time basis
and that we conjointly add some new device to urge
additional info simply. This technique can observe
this traffic condition then take a call that that road will
stay open and that road is stay shut and conjointly
take a call that vehicles square measure emergency.
All info square measure keep in an exceedingly
central server, in order that Police command center is
unendingly fed to the analytics platform for analysis
to alter the fast higher cognitive process. this often
solves the matter of smuggled work.
D. Our aim:
• To style a wise control system.
• To improve traffic safety.
• To relieve tie up.
• To improve transportation potency.
• To increase energy potency.
• Affects each, quality of life and economy.
III. MOTIVATION AND STUDY
Intelligent Transport System aims to understand
traffic efficiency by minimizing traffic problems. It
aims to chop back the time of commuters what is
more as enhances their safety and luxury. The
applying of ITS is widely accepted and utilized in
many countries lately. Our country till presently
doesn’t have any running intelligent system to avoid
wasting peoples time. So, huge cities like Dacca
happens many ties up. If there is an associate degree
intelligent system to manage the traffic, which may
save peoples time. though ITS might consult with all
modes of transport, the directive of the EU Union
2010/40/EU, created on the seven July 2010, outlined
ITS as systems within which info and communication
technologies square measure applied within the field
of road transport, together with infrastructure,
vehicles and users, and in traffic management and
quality management, in addition as for interfaces with
alternative modes of transport.[1] ITS might improve
the potency of transport in an exceeding variety of
things, i.e. road transport, traffic management,
mobility, etc.[2]Demand for travel is anticipated to
extend by five hundredths over the next twenty years.
Currently, there exist many works on specific ITS
systems [3, 4, 5], on accessible technologies [6, 7], or
attainable fields of applications [8, 9]. Alternative
works try and recall the history of those systems and
to make a state of the art of those technologies each in
Europe and within the remainder of the globe [10].](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)