Wireless Smart Traffic Control System based on Vehicle density in Traffic Lane and Emergency Vehicle detection

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 02 | Feb 2023 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 173
Wireless Smart Traffic Control System based on Vehicle density in
Traffic Lane and Emergency Vehicle detection
Aradhya Powar1, Anamika Dakare1
1B.Tech. Student, Dept. of Computer Science and Engineering,
D. Y. Patil College of Engineering and Technology (An Autonomous Institute),
Kolhapur, Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - This paper's primary objective is to automatically
change the move forward time between traffic light systemsin
response to the volume of traffic in eachlane.Intoday'ssociety,
most cities face a serious problem with traffic congestion.
Ineffective if one lane is open for a longer period of time than
the others are the fixed time-based systems used by modern
traffic signaling systems. Such system wastes a lot of labor
hours and will lowerindividualproductivity.Here,wesuggesta
system in which the length of the greenandredsignalsdepends
on the volume of traffic in the area at the time. As opposed to
fixed time-based systems, sometimes there is more traffic
congestion on one side of the lane and a longer green signal is
required. In order to best address this issue, we must create an
automated traffic control system. This can be done using IR
(Infrared sensors). The microcontroller (ESP8266), after
determining the density, prioritizes the lane with the green
signal's luminous period. Lanes with priority vehicles, such as
ambulances, are given the highest priority. After some time,
even though the lane has a lower vehicle density,agreensignal
is given to it to avoid starvation. The microcontroller will use
the data from the sensors that are installed oneithersideofthe
road at a specific distance and will detect the number of
vehicles passing that lane to determine which lane is to be
freed. Further sections have elaborated the procedure of this
structure.
Key Words: IoT, Wireless, IR Sensor, Traffic light
system, LCD, ESP8266
1. INTRODUCTION
The main reason of India's traffic congestion is its
enormous population. Because of the rapid increase in
population and the daily capita use of automobiles, there is
one fatality on the road every four minutes, which will
increase the demand for fuel [1–5]. The massive increase in
vehicles and longer intervals between traffic light systems
make controlling traffic congestion another facta significant
problem. Individual productivity is decreased, and a
significant amount of work time is lost in these systems [8]
.Inefficient infrastructure, massive vehicle populations,
impatient drivers, illogical distribution, and population
growth are foremost reasons of traffic crowding. As long as
the engines are running, which is the case in the majority of
cases, the pollution level quickly rises [7–11]. Additionally,a
tremendous amount of natural resources, namely gasoline
and diesel, are drained away without producing anything.
Therefore, in this area of traffic signaling system, newer
schemes must be implemented using sensor-based
automation technique in order to solve these problems.
In section 2 of this article, a complete explanation is
provided. In section 3, the suggested system'sblock diagram
is explained. In section 4, the results analysis is described
and lastly conclusion.
2. EXISTING SYSTEM
Due to population growth, traffic congestion is
growing in major cities. Because of this, the number of carsis
rapidly increasing, resulting in gridlock in major cities.
Currently, traffic police officers use hand signals, traffic light
signals, markings,andtrafficcontrolsystemstocontroltraffic
[1–5]. Driving-licensing authorities must implement an
educationprogram(alsoknownasanawarenessprogram)to
ensure that those who drive cars and other vehicles are
aware of traffic laws and rules, as well as how important it is
to follow them. Figure 1 shows heavy traffic crowding.
Fig -1: Traffic Congestion
Standard signs that showwhentomoveandwhento
stop are used to create everytraffic managementsystem.For
example, the background of proceed signs is always green
and octagonal in shape [12–15]. To control traffic, 3 kinds of
stoplight indicators are available. There are common colors
and shapes that can be used this to detect and determine the
most effective way to proceed. An amber light indicates that
passengers are ready or that traffic can move into the lane,
while a red light directs drivers to stop in the designatedlane

at the designated time. Vehicles must turn on a green lampto
leave the lane. Traffic lights are currently set up with fixed
time delays and switch from one signal to another according
to a predetermined cycle [8-15].
Fig -2: Normal Traffic light operation
To guarantee the safest possible movement of both
traffic and pedestrians, normal traffic light operation (figure
2) requires a small amount of coordination and control [17–
20]. Vehicles are unable to move as quickly as they should
when there is traffic congestion because there are diverse,
while the approval period is short. However, there aren't
many vehicles using the sublane, and the approval period
range is extensive. This causing wasteful and inappropriate
congestion in one of the lanes while the others are still clear
[16]. With the use of Sensors, traffic light systems have been
put in place adjusting the lag time according on the quantity
of traffic in a specific route [19]. The sensors, that detect
traffic system andcommunicatewiththemicrocontroller,are
positioned at specific intervals on each side of the road. If
there is possible lane congestion, the sensors will
communicate this information to the microcontroller [16–
21]. The microcontroller determines when to open the lane
based on the data from the sensors.
3. PROPOSED SYSTEM
This model is based on the idea that the volume of
traffic that passes through a specific stretch of road dictates
how long traffic signals are delayed. Here, instead of using a
trafficlight system witha fixed timedelay, aninfraredsensor
will be placed at aspecific distancefromeachsideoftheroad.
The IR sensor's range is approximately 10 meters. It is an IR
transceiver, which combines an IR transmitter and receiver.
On the sides of the street, there are numerous sensors
installed. A specificdistanceapartIRtransmitterandreceiver
mounts will be placed on either side of each lane. When a
passing vehicle is identified, these IR sensors send the
information to the Slave nodes to which they are connected.
The Master node receives this information. The Master node
will determine the number of vehicles that are waiting in the
lane using the data, and it will then signal that the lane is
open. Any node can be connected to by emergency vehicles,
and depending on which nodeisconnected,thesignalforthat
lane is changed to green. Every time the signal changes, it
glows on the traffic light system and appears onanLCD.Each
lane with light traffic is also given a green signal in order to
reduce the amount of timedriversmustwaitforthelanewith
light traffic. The lanes with emergency vehicles are given
priority here, followed by the lanes with more vehicles, and
the lanes with fewer vehicles are given least priority. Each
node is connected to the IR sensor and traffic light. The
Master node has an LCD screen in addition that shows the
status of all the signals. The sections below display the block
diagram of the proposed system.
Traffic lights, IR sensors,NodeMCUs(ESP8266),and
an LCD make up the proposed system's block diagram in the
Figure 3. The proposed system works because of these
components. The functioning of these elements is described
below.
Fig -3: Block Diagram
The equipment for smart traffic management
system needs 5V in relation to ground, that power supply is
used. In this situation, that power supply is utilized in this
instance. TTL logic value of the circuit is 0–5V.220 v AC
supply is abruptly resigned to 9 v AC using a 0 v to 9 v
transformer. A series converter also changes9VACto9V DC.
Then, to obtain 5V, it is further filtered using a 1000 uF
capacitor and controlled by a 7805. It is now time to turn on
the power supply, LCD, microcontroller, and traffic light
system. As soon as each node receives power, the slave
nodes connect to the master node, and using the
"STATIONAP" configuration, all nodes createanaccesspoint
with the physical mode set to 802.11b. The longer-range
IEEE 802.11b protocol is used here. The IR sensors then
begin to analyze amount of automobiles within every track.
Additionally, master node receives such data and, following

decision-making, sends a signal to every node. The
emergency vehicles have an ESP-01 nodethatcanconnectto
any of the nodes and then ask for a green signal. Based on
the node to which a rescue automobilessentrequest,for that
lane, green light is given. The ESP-01 is present in the
emergency vehicle. Figure 4 shows the ESP-01
ESP8266Module. Microcontrollers can connect to wireless
networks using the ESP8266 ESP-01Wi-Fimodule.Withthis
module, you can control inputs and outputs without
necessarily needing a microcontroller, as you would with an
Arduino. This module is a self-contained SOC (System on
Chip). It has adequate on-board processing and storage to
provide interaction with number of sensor and additional
application-specific device via its GPIOs having slight
advance preparation and little runtime loading.
Fig -4: ESP-01 Module
ESP-01gets connected to the nodeswheneveritisin
the range of nodes letting the master node to send a green
signal. Figure 4 has image of ESP-01 Module
An IR Sensor is connected to each of the 4 nodes,
which are arranged as 1 Master Node, 3 Slave Nodes, and 1
in the middle. An electronic device called an infrared sensor
detects some aspects of its environment. The heat of an
object and its motion can both be detected by an IR sensor.
Our eyes cannot see these radiations. An infrared sensor is
able to find it. IR transmitter and IR receiver are the
components of these sensors. These are going to beinstalled
at specific intervals on both sides of the road, and they'll
count how many cars are using each lane.
Fig -5: Infrared Sensors
It gives the Master node the information, i.e. One
lane has more vehicles present than the others when
compared to the others. The project's infrared sensor is
depicted in figure 5. IR sensors are connected to NodeMCUs.
The control of the signals is done by NodeMCU
microcontrollers. It has USB connection or an outside circuit
source. External power can be provided via a battery or an
AC-to-DC adaptor (otherthanUSB).Thepowerjack onboard
can accept a center-positive plug for connection to adapter.
Batteries leads can be inserted into the Grounded and Vin
pin connectors of the POWER connector. The esp8266 has a
3.3V nominal voltage.
The NodeMCU ESP8266 developmentboardcomes
with the ESP-12E module, which houses the ESP8266 chip
and Tensilica Xtensa 32-bit LX106RISCmicroprocessor. The
clock frequency range for this microcontroller is 80 MHz to
160 MHz, and it supports RTOS. For storage data and
programmes, NodeMCU has 4 MB of Flash storage and 128
KB of RAM. It is perfect for IoT projects because to its potent
CPU, built-in Wi-Fi and Bluetooth, and Deep Sleep Operating
features.
Either a Micro USB port or the VIN pin (External
Supply Pin) can be used to power NodeMCU. The UART, SPI,
and I2C interfaces are supported. For the open source
NodeMCU firmware, present are free prototype board
designs are available. The words "node" and "MCU" (micro-
controller unit) are combined to form the name"NodeMCU".
The prototyping board designs as well as firmware
are open sources. Lua is a script used by firmware. The
firmware created by ESP8266 Espress if Non-OS SDK that is
developed on eLua project. It heavily utilizes open source
applications suchas SPIFFSandlua-cjson.Usersmustchoose
the modules needed for the application and create a
firmware specific to their requirements due to resource
limitations. Furthermore, 32-bit ESP32 compatibility has
indeed been added.
The common formof prototypinghardwareisa dual
in-line package (DIP) that includes a USBcontroller withjust
a tiny surface-mounted board housingtheMCUandantenna.
The choice of the DIP format makes breadboardprototyping

easier. The ESP-12 module of an ESP8266, an IoT
implementation Wi-Fi SoC with a Tensilica Xtensa LX106
core, served as the design's original foundation.
The required voltage for stable functioning is 2.5V,
with a 3.6V upper limit. Therefore, the voltage level should
be between 2.5 and 3.6V for ESP8266 to operate safely. The
highest current an esp8266 chip uses is 170mA.
Fig -6: NodeMCU ESP8266
NodeMCU ESP8266 is utilizedinthisworkduetothe
aforementioned specification. The NodeMCU ESP8266
Microcontroller Board is depicted in Figure 6. All of the
nodes have these boards. Currently, lane 2 is more
congested than the other lanes, sothemicrocontrollergives
lane 2 a green light while giving the other lanes a red light.
On the LCD connected to the master node, these will be
displayed.
An LCD is a type of visible image-producing
electronicdisplaymodule.Acommonbasicmodulefoundin
DIY projects and circuits is the 16x2 LCD display. A display
with 16 characters in each line is translated into 2 of those
lines using the 16x2 formula.16x2LCDisshowninFigure7.
Computers, calculators, televisions, mobile phones, and
digital watches are some examples of LCD-using devices
that show the some data.
.
Fig -7: LCD
Then, in response to controller commands, traffic
lights begin to glow. Signalized traffic lights are depicted in
figure 8. These lights are used to alert people in the
appropriate way by showing lights of a standard color (red,
amber or yellow, and green) in keeping with the colour
scheme. A warning indicationisayellowlamp.Thestopsign
is a red lantern. The indicated path is open for traffic to
move forward when the lamp is green.
Fig -8: Traffic Light Signal
4. RESULTS
Arduino IDE 1.6.5andCircuitoarethesoftwaretools
used for implementation of this project. Arduino IDE is
crucial tool for writing code for the microcontrollers.
Circuito.io is a tool for creating complete electronic circuits
online. The Circuito app generates schematics and code for
electronic circuit instantly and precisely. Following the
selection of the fundamental building blocks, it calculates all
the electrical requirements of our choice.
4.1 CIRCUIT OUTPUT
Fig -9: Circuit design for Master node

The figure 9 shows the master node. This node is
connected to LCD, traffic signal and IR sensor. The master
node is responsible for making decisions for all the traffic
lights. The master node’s code consist of an asynchronous
web server and RESTful API which is responsible for all the
communication between all the nodes.
Fig -10: Circuit design for Slave node
The figure 10 shows slave node. There are total of 3
Slave nodes. Each slave node is associated to traffic signal
lights and IR sensor. Wi-Fi is used to link slave nodes to
master node. The slave nodes’ codesend thetrafficdensityto
the master node. All nodes also create an access point to
which emergency vehicles can connect to and the green
signal can be requested through the connected node.
ESP01 is directly connected to power supply in the
emergency vehicle. ESP01 consists a code which enable it to
connect to the nodes.
4.2 HARDWARE SETUP
Fig -11: Hardware setup for Master node
The figure 11 refer to H/W setup of Master node
used for this project. This node is the most important part of
the project.
Fig -12: Output on Master node’s LCD
The figure 12 displays the LCD display output from
the master node. Here, the first row displays the number of
vehicles, and the second row displays the status of the traffic
signal. Here, the traffic signal position is indicated by the
letters "E," "W," "N," and "S," which stand for East, West,
North, and South, respectively. Low and High, respectively,
are denoted by the letters "L"and "H". Rstands forred, andG
stands for green.
Fig -13: Hardware setup for Slave node
The figure 13 refer to H/W setupforSlavenodeused
for this project. There are 3 slave nodes in this system.
5. CONCLUSION
Daily traffic collisions occur in our nation. In this
project, an intelligent control system is designed to lessen
traffic blockages and unwelcome time delays. This project
could be very useful in areas with traffic signals as well as
many other locations where automation is required. Future
plans should include putting the concept behind this project
into action. And this might cause a new change in traffic
management mechanism.

REFERENCES
[1] Chandramohan, J., Nagarajan, R.,
Satheeshkumar, K., Ajithkumar, N., Gopinath, P. A., &
Ranjithkumar, S. (2017). Intelligent smart home
automation and security system using Arduino and Wi-
fi. International Journal of Engineering and Computer
Science, 6(3).
[2] Yang, Bo, Rencheng Zheng, Keisuke Shimono, Tsutomu
Kaizuka, and KimihikoNakano."Evaluationofthe effects
of in-vehicle traffic lights on driving performances for
unsignalised intersections." IET Intelligent Transport
Systems 11, no. 2 (2017).
[3] M. F. Rachmadi et al., "Adaptive traffic signal control
system using camera sensor and embedded system,"
TENCON 2011 - 2011 IEEE Region 10 Conference, Bali,
2011, pp. 1261- 1265. doi:
10.1109/TENCON.2011.6129009
[4] S. N. Mahalank, K. B. Malagund and R. M. Banakar,
"Device to device interaction analysisinIoTbasedSmart
Traffic Management System: An experimental
approach," 2016 Symposium on Colossal Data Analysis
and Networking (CDAN), Indore, 2016, pp. 1-6. doi:
10.1109/CDAN.2016.7570909
[5] T. Roopa, A. N. Iyer and S. Rangaswamy, "CroTIS-
CrowdsourcingBasedTraffic InformationSystem,"2013
IEEE International CongressonBigData,Santa Clara,CA,
2013, pp. 271-277. doi:
10.1109/BigData.Congress.2013.43
[6] Rajak, B., & Kushwaha, D. S. (2019). Traffic Control and
Management Over IoT for Clearance of Emergency
Vehicle in Smart Cities. In Information and
Communication Technology for Competitive Strategies
(pp. 121-130). Springer, Singapore.
[7] D.Manoj “Density Based Traffic Control System”
electrical & electronics engineering Department
mahatma Gandhi institute of technology Chaitanya
Bharathi P.O., Gandipet, Hyderabad – 500 075 2012
[8] B. Prashanth kumar, b. Karthik “micro controller based
traffic light controller”, Department of Electrical &
Electronics Engineering gokaraju rangaraju institute of
engineering & technology, 2011
[9] Sachin Jaiswal*, Tushar Agarwal*, Akanksha Singh*and
Lakshita* ” IntelligentTraffic Control Unit”,*Department
of Electronics and Communication Engineering,
Bharati Vidyapeeth‟s College of Engineering,
Paschim Vihar, New Delhi-110063
[10] Rijurekhasen, Andrew Cross, adityavashistha,
Venkata N. Padmanabhan, Edward Cutrell, and William
Thies “Accurate Speed and Density Measurement for
Road Trafﬁc in India” IIT Bombay
[11] Cihan Karakuzu. “Fuzzy logic based smart traffic
light simulator design and hardware implementation”.
Kocaeli University,EngineeringFaculty,Electronics
[12] Chandrasekaran, G., Periyasamy, S., &
Rajamanickam, K. P. Minimization of test time in system
on chip using artificial intelligence-basedtestscheduling
techniques. Neural Computing and Applications, 1-10.
https://doi.org/10.1007/s00521-019-04039-6.
[13] Highway traffic model-based density estimation-
IEEE paper by Morarescu, Nancy Univ., France,
published in American Control Conference (ACC), 2011.
[14] Musa Mohd Mokji and Syed Abd. Rahman Syed Abu
Bakar, “Directional Image Construction Based on
Wavelet Transform for Fingerprint Classification and
Matching”, National Conference on Computer Graphics
and Multimedia, pp. 331 – 335, 2002.
[15] Naik, T., Roopalakshmi, R., Ravi, N. D., Jain, P., &
Sowmya, B. H. (2018, April). RFID-Based Smart Traffic
Control Framework for Emergency Vehicles. In 2018
Second International Conference on Inventive
Communication and Computational Technologies
(ICICCT) (pp. 398- 401). IEEE.
[16] Bhate, S. V., Kulkarni, P. V., Lagad, S. D.,Shinde,M.D.,
& Patil, S. (2018, April). IoT based Intelligent Traffic
Signal System for Emergency vehicles. In 2018 Second
International Conference on Inventive Communication
and Computational Technologies (ICICCT) (pp. 788-
793). IEEE.
[17] Zhang, K., Sheng, Y. and Li, J., 2012. Automatic
detection of road traffic signs from natural sceneimages
based on pixel vector and central projected shape
feature. IET Intelligent TransportSystems,6(3),pp.282-
291.
[18] Yapp, J. and Kornecki, A.J., 2015, August. Safety
analysis of virtual traffic lights. In Methods and Models
in Automation and Robotics (MMAR), 2015 20th
International Conference on (pp. 505- 510). IEEE.
[19] Yang, Bo, Rencheng Zheng, Keisuke Shimono,
Tsutomu Kaizuka, and Kimihiko Nakano. "Evaluation of
the effects of in-vehicle traffic lights on driving
performances for unsignalised intersections." IET
Intelligent Transport Systems 11, no. 2 (2017)
[20] Higaki, H., 2014, March. Virtual Traffic Signals by
CooperationamongVehicle-MountedMobileComputers.
In New Technologies, Mobility and Security (NTMS),
2014 6th International Conference on (pp. 1-6). IEEE.

[21] Priyadharshini,K.,andS.K. Manikandan."Automatic
Traffic Control System Based on the Vehicular Density."
International Research Journal of Engineering and
Technology (IRJET 2019) 6.04 (2019): 66-72.

Wireless Smart Traffic Control System based on Vehicle density in Traffic Lane and Emergency Vehicle detection

More Related Content

Similar to Wireless Smart Traffic Control System based on Vehicle density in Traffic Lane and Emergency Vehicle detection (20)

More from IRJET Journal (20)

Recently uploaded (20)

Wireless Smart Traffic Control System based on Vehicle density in Traffic Lane and Emergency Vehicle detection