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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, artiïŹcial
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
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
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
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

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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, artiïŹcial 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