Automatic Movable Smart Road Dividers - IOT Based Solution To Traffic Congestion Problems

Volume 5, Issue 6, June – 2020 International Journal of Innovative Science and Research Technology
ISSN No:-2456-2165
Automatic Movable Smart Road Dividers - IOT

Based Solution to Traffic Congestion Problems
1
Keerthan A J, 2 Likhith H D, 3Chetan H S, 4Kiran K P, 5 Dr. Sumaiya MN
*1,2,3,4
Students, Dayananda Sagar Academy of Technology & Management, Bangalore, India.
*5
Associate Professor, ECE Department , Dayananda Sagar Academy of Technology & Management, Bangalore, India.
Abstract:- The street dividers are commonly utilized for present traffic activity and traffic stream condition. The IoT
separating the street for continuous and approaching will be associated with every single piece of traffic, for
traffic. This is useful in keeping the progression of example, streets, dividers with the assistance of infrared
traffic. For this situation, there is equal number of lanes sensors. As a rule, we see that there will be immense traffic
for both approaching and continuous traffic. Be that as on one side of the divider of a street and on the opposite
it may, in certain zones, such as in industrial or side, there will be no traffic. In this sort of circumstance, it
shopping zones the traffic for the most part streams a is conceivable to control the divider position consequently
one way in the first part of the morning or night. The which decreases the traffic issues. The movable street
other roadside is unfilled or unused. It leads to time divider helps in the arrangement of the street limit, in order
loss for public and congested driving conditions. We to achieve ideal profit by the roadway utilization on the
mean to assemble a shrewd street divider as far as a current street. By utilizing the development of divider, we
mechanized street divider which moves or move the can give traffic clearance for the emergency vehicle when it
path coordinating the surge in rush hour gridlock. Such required.
kind of component of traffic framework spares time as
well as fuel. It can include 1 more path based the traffic II. MOTIVATION
in the specific bearing. With the more intelligent
application planned underneath, manual reliance and Our idea is to calculate an instrument of robotized
manual traffic relation is decreased. Like this a compact road divider that can move ways, so we can have a
proposition of savvy traffic is worked in less, medium progressive number of ways toward the rush. The total
and more density in the rush hour gridlock will be impact of the time and fuel that can be saved by adding
appeared in IOT server in utilizing grap diagram. IoT even one extra way to control traffic congestion. With the
refers to Internet of Things where real digitalization sagacious application proposed underneath, we will
comes into the image. The sensors and Arduino boards moreover discard the dependence on manual intercession
are utilized. The sensors are placed on the dividers and manual traffic coordination so we can have
which sense the progression of traffic and it is refreshed progressively wise traffic wherever all through the city.
to the web through Wi-Fi module associated. The traffic
density will be appeared in IoT server in utilizing graph III. LITERATURE REVIEW
chart. It gives a superior answer to traffic issue.
In [1], a versatile Traffic Management System (TMS)
Keywords:- Mechanized street divider, traffic framework, joined with a fuzzy rationale-based plan so as to take
IoT server, Sensors, RFID. proper activities to accelerate the advancement of crisis
vehicles while maintaining a strategic distance from the
I. INTRODUCTION production of bottlenecks around their courses. This is
accomplished through the all-around planned adjustment
Nations around the globe are confronting issue of activities and crisis reaction plans picked dependent on the
traffic problem because of increment in the number of crisis level promoted by the crisis vehicle and the yield of
vehicles. In spite of the fact that the quantity of vehicles the fuzzy framework.
utilizing the streets has been expanded, the static street
foundation is nearly the equivalent and it can't adapt to the In [2], proposed a innovation in robotizing the traffic
progressions like a blockage. The problem with static street signals by utilizing picture handling, Infrared sensor, and in
divider is that the number of lanes on either side of the some spot's prioritization in rush hour gridlock motioning
streets are fixed. whereas the assets are restricted and there towards crisis vehicles dependent on the fuzzy rationale.
is a critical increment in the number of vehicles on the The test with every one of these frameworks is that it is
street. This calls for better utilization of existing assets like pricey.
a number of paths accessible. So as to conquer this issue,
we structure a portable street divider which moves to rely In [3], they proposed image capturing process instead
upon the progression of traffic. The sensors can be worked of sensing vehicles by sensors. In this system traffic light
by the microcontroller to recover the information from can be control by using image processing method. By using
them and update it to the web through Wi-Fi module analyse data traffic signal can be controlled. With the
associated with it. The IoT gathers the continuous assistance of specific calculation, morphology and picture
information of vehicular which traffic that discovers the are expected to stay away from traffic blockage.
IJISRT20JUN1024 www.ijisrt.com 1511

ISSN No:-2456-2165
In [4], RFID is a remote connection to extraordinarily
recognize objects or people. RFID empowers distinguishing
proof from a separation without requiring a view. This
disposes of the utilization of additional equipment. This
likewise incorporates the acknowledgment of vehicles by
the sound of their alarm. This framework stays away from
the meddle in the rush hour gridlock stream the board. By
utilizing the RFID tag, a different way will be make for
emergency vehicles.
In [5], proposed an intelligent traffic organization

framework, in view of the Internet of Things, which is
included by minimal effort, high versatility, high similarity,
easy to upgrade, to replace conventional traffic the
executive's framework and the proposed framework can
improve street traffic enormously.
Fig 2:- Circuit diagram
In [6], the traffic parameters, for example, traffic
volume, path speed, path inhabitancy, and vehicle progress  ARDUINO:
are gauges and utilized. The day of the week and the hour Arduino is an open source equipment and
of day are additionally utilized by the calculation. programming. It has 14 advanced input/output pins, 6
Information investigation is done on a for every path simple data sources, a 16 MHz artistic resonator, a USB
premise and results are created for every path and for the association, a force jack, an ICSP header, and a reset
general street fragment. Improving the proficiency of button. It contains everything expected to help the
Traffic Management Systems (TMS) is as yet a functioning microcontroller. The ATMEGA328 on the Arduino UNO
and testing research territory because of the criticality of comes preprogrammed with a boot loader that permits us to
transportation foundation being observed by such system. transfer new code to it without utilizing an external
In [7-9], various smart and intelligent vehicle systems have hardware programmer.
been discussed.
IV. MATERIALS AND METHODOLOGY
Fig 3:- Arduino
 IR SENSORS:
An infrared sensor is an electronic gadget that
produces so as to detect a few parts of the environmental
factors. An IR sensor can measure the hear of an object as
well as identifies the movement.
Fig 1:- The block diagram of the proposed system.
The executed framework comprises of microcontroller

as a principle preparing unit and all the sensors and gadgets
are associated with the microcontroller. The sensors can be
worked by the microcontroller to recover the information
from them and update it to the web through Wi-Fi module Fig 4:- IR Sensor
associated with it.

ISSN No:-2456-2165
 ESP8266 Wi-Fi Module:  LIQUID CRYSTAL DISPALY:
ESP8266 is Wi-Fi enable system on chip(SOC) An LCD is a flat board show or another electronically
module created by Espressif framework. It is for the most adjusted optical gadget that utilizes the light-balancing
part utilized for the advancement of IoT implanted properties of fluid precious stones consolidates with
applications. It eases independent remote handset that can polarizers. Fluid precious stones don't emanate light
be utilized for end-point IoT advancements. It has 2.4 GHz directly, rather utilizing a backdrop illumination or reflector
Wi-Fi, 16 GPIO, 10 piece ADC, Inter-Integrated Circuit to deliver pictures in shading or monochrome.
serial communication protocol.
Fig 8:- LIQUID CRYSTAL DISPALY
 RFID:
RFID is a remote connection to interestingly
distinguish objects or people. It enables recognizable proof
Fig 5:- ESP8266 Wi-Fi Module from a distance without requiring a view. The RFID
framework contains the RFID tag/card, RFID reader,
 DC MOTOR: backend database and a control unit. RFID frameworks
A DC motor is an electric motor that runs on direction have two general classes active and passive. The RFID
current. It chips away at the way that a current conveying reader communicates with the RFID tag through label
conductor set in an attractive field encounters a power cross-examination.
which makes it turn as for its original position.
Fig 9:- RFID

Fig 6:- DC Motor
The fundamental point in the planed structure is to
diminish the reaction time to emergency or government
 L293D:An H-Bridge:
vehicles, for instance, emergency vehicle , government,
A H-Bridge is only an electronic circuit. Utilizing
police, and firefighters vehicles and so forth., by giving
such circuit, we can make current to supply in two ways.
The L293D is an H-Bridge with two potential outputs. Two RFID tag to these vehicles. The proposed technique is
clarified utilizing the stream diagram as appeared in figure
things can be associate with it and the bearing of the current
underneath. The suggested structure shows that the vehicle
stream can be controlled in both.
out and about are taken in tally and relying upon the power
of traffic the divider moves. Two sorts of sensors are used
here normal and high types The data acquired from sensors
are refreshed in the site through the Wi-Fi module and
showed on LCD. At the point when an emergency vehicle
with an RFID label goes through each observing station
along with the road, the RFID reader at those focuses will
consequently read the label information identified with the
emergency vehicle and gives the path by moving the
divider. At the point when system interfaces with the web,
all the information about traffic conditions on each street
area are immediately saved in the database which is
Fig 7:- L293D H-Bridge storage point and can be used in any way, shape ,or form
and application.

ISSN No:-2456-2165
The flowchart of the proposed system is shown in
Fig.3.
Fig 12:- Screenshot of divider moving Right
Fig 10:- The flowchart.
V. SIMULATION RESULTS
The simulation results at various stages have been

shown in Fig. 4 to Fig.9
Fig 13:- Screenshot of divider moving Right for making

way to Ambulance in Road1
Fig 11:- Screenshot of divider moving Left

ISSN No:-2456-2165
Fig 14:- Screenshot of divider moving Left for making way

to Ambulance in Road2
Fig 16:- Screenshot of giving the input for making way to

Ambulance in Road2
At First before moving the divider the ultrasonic

makes sure there no vehicles near the road divider, IF any
vehicles present, the buzzer starts alarming till the vehicle
is moved . IR sensor will check the number of vehicles in
microseconds, as soon as the count above 50.The divider
starts moving according to density of the vehicles in roads.
Examples If the density of vehicles is more in

ROAD1 , the divider moves to left (opposite site of Road1)
making the RGB LED’s to GREEN , making the traffic
Signal in ROAD1 to GREEN to make the vehicles should
to pass out as soon as possible. RGB LED’s present in
ROAD2 will be RED & traffic signal in Road2 will be
RED.
USING the Wi-Fi Module the User (Ambulance

Driver or Traffic Police) gives the input “A” or ”B” in
TDP/UDP Application in mobile making the road move
accordingly .
VI. CONCLUSION
Here undertaking, the road is related with a cloud

Fig 15:- Screenshot of giving the input for making way to which steady seeing of the traffic is done and the density of
Ambulance in Road1 traffic is moved to the cloud. Traffic density which is open
in the cloud can be used for a various purposes like traffic
writes about various applications for example, here maps.
In the wake of transferring traffic reports on a cloud by
considering traffic force in three factors like LESS,
MEDIUM, and the MORE road divider is moved by a
small distance. In the event that force is LOW, at that point

ISSN No:-2456-2165
divider remains in its position. If the intensity is MEDIUM
then divider moves by a little separation. In the event that
intensity is HIGH, at that point divider moves by an
enormous separation. The project additionally gives an
answer for traffic clearance to the emergency and
government vehicle. Utilizing RFID a cloud is made to
distinguish the appearance of an emergency vehicle and
afterward to make a path uniquely for emergency vehicles
by moving street divider in a like manner. Henceforth it is
presumed that it is conceivable to dodge blockage in a
given course by moving the street divider to extend or limit
the street and clear the traffic. Additionally, it is
conceivable to give a free route to the emergency vehicle
independent of the traffic out and about.
REFERENCES
[1]. Soufiene Djahel “Reducing Emergency Services

Response Time in Smart Cities: An Advanced
Adaptive and Fuzzy Approach”, IEEE 2015.
[2]. R. Weil, J. Wootton and A. Garcia Ortiz, “ Traffic
Incident Detection Sensor and Algorithms”, Journal of
Mathematical and Computer Modelling, Vol.27 (9),
1998, pp.257-291.
[3]. Roopa Ravish, Varun R. Gupta ,K J Nagesh
“Software Implementation of an Automatic Movable
Road Barrier” 2019 International Carnahan
Conference on Security Technology(ICCST).
[4]. Satya Srikanth, H B Vibha, B M Sriraksha, A
Yashashwini “Implementation of Smart Movable
Road Divider and Ambulance Clearance using IoT”
2019 4th International Conference on Recent Trends
on Electronics ,Information,Communicatio n, and
Technology(RTEICT) .
[5]. B Durga Sri, K Nirosha, Sheik Gouse “Design and
Implementation of small movable road divider using
IoT ” 2017 International Conference on Intelligent
Sustainable Systems(ICISS).
[6]. Ch V A Satwik, L Pavan Kumar,K Vineeth, Kavitha
N P Pillai “Intelligent Road Management System for
Daily Transit” 2018 International Conference on
Communication and Signal Processing(ICCSP).
[7]. C.N.Shreyas, V.Srivasta, Vaibhav Pitale, M.Ananda
“IoT Based Smart Signal” 2018 2nd International
Conference on I-SMAC.
[8]. P.Kalaivani, R.Pretheep Kumar, J.Thrshan, R.Shakthi
Kolapan “Smart collision avoidance and driver alert
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Automatic Movable Smart Road Dividers - IOT Based Solution To Traffic Congestion Problems

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Volume 5, Issue 6, June – 2020 International Journal of Innovative Science and Research Technology

Automatic Movable Smart Road Dividers - IOT

IJISRT20JUN1024 www.ijisrt.com 1511

In [5], proposed an intelligent traffic organization

IV. MATERIALS AND METHODOLOGY

Fig 3:- Arduino

Fig 1:- The block diagram of the proposed system.

The executed framework comprises of microcontroller

IJISRT20JUN1024 www.ijisrt.com 1512

Fig 8:- LIQUID CRYSTAL DISPALY

Fig 9:- RFID

IJISRT20JUN1024 www.ijisrt.com 1513

Fig 12:- Screenshot of divider moving Right

Fig 10:- The flowchart.

The simulation results at various stages have been

Fig 13:- Screenshot of divider moving Right for making

Fig 11:- Screenshot of divider moving Left

IJISRT20JUN1024 www.ijisrt.com 1514

Fig 14:- Screenshot of divider moving Left for making way

Fig 16:- Screenshot of giving the input for making way to

At First before moving the divider the ultrasonic

Examples If the density of vehicles is more in

USING the Wi-Fi Module the User (Ambulance

Here undertaking, the road is related with a cloud

IJISRT20JUN1024 www.ijisrt.com 1515

[1]. Soufiene Djahel “Reducing Emergency Services

IJISRT20JUN1024 www.ijisrt.com 1516

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