TECHNICAL FIELD
[001] The present disclosure relates generally to traffic controlling system. More
particularly, the present disclosure pertains to systems and methods for autonomously controlling traffic at an intersection.
BACKGROUND
[002] Background description includes information that may be useful in understanding the
present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] Traffic lights, also known as, stop lights, traffic signals, traffic lamps, traffic
semaphore, traffic control signals, signal lights etc. are signaling apparatuses located at lane
intersections, railway tracks, pedestrian crossings, and other locations for traffic flow control.
The traffic lights includes three colored universal light that is green, yellow and red light, such
as, green light signals for allowing traffic to flow in indicated direction, yellow light warns
traffic to slow down, and red signal indicates for stopping of vehicle. In present scenario,
most of countries in world suffer from transportation system due to traffic congestion in cities
causing serious dilemma for government and public. In view of rapid demand of number of
vehicles and increasing number of road users, partial solutions were offered by constructing ring
roads, bypass roads, building flyovers, creating road, and performing roads rehabilitation.
[004] Traffic light signal control systems configured at intersection of lanes are widely
used to monitor and control flow of vehicles, simultaneously aim to realize transportation routes for smooth flow of traffic. However, synchronization of multiple traffic light apparatuses positioned at proximal intersections with various parameter lead to a complicated problem of timers. Conventional traffic signal system with pre-set timings are unable to handle variable traffic flow, leading to increase in waiting time of road users. Furthermore, mutual synchronization with preset timers between proximally placed traffic light apparatuses does not implement passage of emergency vehicles, inconsistency in traffic flow with time, and the pedestrian crossings in existing traffic light signal control system which may leads to traffic jam

and congestion. A well-established issue in traffic control engineering is to optimize traffic flow through a given lane network with a major component having timing strategy of advanced traffic control management for complex road signalized intersection. Optimizingtiming of the traffic control signals according to observed traffic in the lane network is one of the most powerful and cost-effective means for lowering waiting time of road users.
[005] Prior art technique discloses array of detectors at intersection lanes. The array of
detectors feed information regarding traffic flow to local controllers which compare various
traffic parameters with day timing, office hours, and master controller receives data from the
local controller which samples data and determines cycle length of traffic control signal. The
central controller receives data from the master controller which analyzes the data and cyclically
directs the master controllers to vary timing of the traffic control signal. Above said approach to
control the traffic suffers from some real time serious problems such as, often said traffic control
systems are not aware of traffic that is held in a queue and fails to signal green light according to
real time situation. If traffic vehicle queue fails to clear before end of the green signal, the system
is not aware of this parameter, said system will assume that traffic is flowing smoothly, failing to
actually move a traffic queue in an effective manner through intersection of lanes.
[006] There is therefore, a need in the art to provide a system for controlling traffic at an
intersection that overcome the above-mentioned and other limitations of the existing solutions and utilize techniques, which are robust, accurate, fast, efficient, cost effective and simple.
OBJECTS OF THE PRESENT DISCLOSURE
[007] Some of the objects of the present disclosure, which at least one embodiment herein
satisfies are as listed herein below.
[008] An object of the present disclosure is to provide a system for controlling traffic at an
intersection.
[009] Another object of the present disclosure is to provide a system for optimizing traffic
hold time traffic at an intersection.
[0010] Another object of the present disclosure is to provide a system for controlling traffic
that helps reduce traffic congestion at the intersection at an intersection.
[0011] Another object of the present disclosure is to provide a system for controlling traffic
at an intersection with dynamic traffic light timing.

SUMMARY
[0012] The present disclosure relates generally to traffic control. More particularly, the
present disclosure pertains to a system involved in autonomous traffic control signal system.
[0013] In an aspect, the present disclosure provides a system for controlling traffic at an
intersection. The system includes: one or more traffic controlling apparatuses having one or more
control lights, the one or more traffic controlling apparatuses configured at the intersection
having two or more intersecting lanes; at least one camera configured at the intersection to
capture one or more images of at least a part of the two or more intersecting lanes; a processing
unit operatively coupled with the at least one camera and the one or more traffic controlling
apparatuses, the processing unit configured to: extract one or more features from the captured
one or more images, wherein the one or more features pertains to traffic on each of the two or
more intersecting lanes; determine density of traffic on each of the two or more intersecting lanes
by determining number of objects of traffic on each of the two or more intersecting lanes based
on the extracted one or more features; and generate control signal for each of the one or more
traffic controlling apparatuses for controlling time period of operation of the one or more control
lights of each of the one or more traffic controlling apparatuses.
[0014] In an embodiment, the objects of traffic comprises any or a combination of a
vehicle, a person and an animal.
[0015] In an embodiment, the one or more features comprises edges, colour and gradient
orientation.
[0016] In an embodiment, the system comprises set of relays operatively coupled with the
one or more traffic controlling apparatuses enables open circuit and closed circuit to the one or
more control lights.
[0017] In an embodiment, the top surface of one or more traffic controlling apparatuses
configured with solar panel to provide energy to battery.
[0018] In an embodiment, the battery configured with the one or more traffic controlling
apparatuses to provide power for uninterrupted operations.
[0019] In an embodiment, the system coupled with plurality of wheels at the bottom
surface thereby making the system portable.
[0020] In an embodiment, the system is tampered proof and weather proof such that the
system works in all-weather condition.

[0021] In an embodiment, the system configured with plurality of satellites enable
controlling the time period of the one or more traffic controlling apparatuses positioned with accuracy at the two or more lanes.
[0022] In an embodiment, the present disclosure provides a method for controlling traffic
at an intersection. The method includes: extracting, by one or more processors of a control device, one or more features from captured one or more images, from at least one camera configured at the intersection, wherein the one or more features pertains to traffic on each of two or more intersecting lanes; determining, by the one or more processors, density of the traffic on each of the two or more intersecting lanes by determining for number of objects of traffic on each of the two or more intersecting lanes based on the extracted one or more features; and generating, by the one or more processors, a control signal for each of a one or more traffic controlling apparatuses for controlling time period of operation of a one or more control lights of each of the one or more traffic controlling apparatuses.
BRIEF DESCRIPTION OF FIGURES
[0023] In the figures, similar components and/or features may have the same reference label.
Further, various components of the same type may be distinguished by following the reference
label with a second label that distinguishes among the similar components. If only the first
reference label is used in the specification, the description is applicable to any one of the similar
components having the same first reference label irrespective of the second reference label.
[0024] FIG. 1 A illustrates a perspective view of a system for controlling traffic at an
intersection in accordance with an embodiment of the present disclosure.
[0025] FIG. 1 B illustrates a computing unit of a system at an intersection in accordance
with an embodiment of the present disclosure.
[0026] FIG. 2 illustrates exemplary embodiment of traffic controlling apparatuses at
intersection lanes in accordance with an embodiment of the present disclosure.
[0027] FIG. 3 illustrates method for controlling traffic at an intersection in accordance with
an embodiment of the present disclosure.
[0028] FIG. 4 illustrates of traffic density estimation using satellites in accordance with an
embodiment of the present disclosure.

DETAILED DESCRIPTION
[0029] Embodiments of the present disclosure include various steps, which will be described below. The steps may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed with the instructions to perform the steps. Alternatively, steps may be performed by a combination of hardware, software, and firmware or by human operators. [0030] If the specification states a component or feature "may", "can", "could", or "might" be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0031] Exemplary embodiments will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. This disclosure may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete and will fully convey the scope of the disclosure to those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the disclosure, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure).
[0032] Thus, for example, it will be appreciated by those of ordinary skill in the art that the diagrams, schematics, illustrations, and the like represent conceptual views or processes illustrating systems and methods embodying this disclosure. The functions of the various elements shown in the figures may be provided through the use of dedicated hardware as well as hardware capable of executing associated software. Similarly, any electronic code generator shown in the figures are conceptual only. Their function may be carried out through the operation of program logic, through dedicated logic, through the interaction of program control and dedicated logic, or even manually, the particular technique being selectable by the entity implementing this disclosure. Those of ordinary skill in the art further understand that the exemplary hardware, software, processes, methods, and/or operating systems described herein are for illustrative purposes and, thus, are not intended to be limited to any particular named.

[0033] Various terms as used herein are shown below. To the extent a term used in a claim is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing. [0034] Reference to "an embodiment" in this description indicates that a particular configuration, structure or characteristic described regarding the embodiment is included in at least one embodiment. Hence, expressions such as "in an embodiment" and the like, present in various parts of this description, do not necessarily refer to the same embodiment. Furthermore, particular configurations, structures or characteristics may be combined in any suitable manner in one or more embodiments. References herein are used for facilitating the reader and thus they do not define the scope of protection or the range of the embodiments.
[0035] The present disclosure relates generally to traffic control. More particularly, the
present disclosure pertains to a system involved in autonomous traffic control signal system.
[0036] In an aspect, the present disclosure provides a system for controlling traffic at an
intersection. The system includes: one or more traffic controlling apparatuses having one or more control lights, the one or more traffic controlling apparatuses configured at the intersection having two or more intersecting lanes; at least one camera configured at the intersection to capture one or more images of at least a part of the two or more intersecting lanes; a processing unit operatively coupled with the at least one camera and the one or more traffic controlling apparatuses, the processing unit configured to: extract one or more features from the captured one or more images, wherein the one or more features pertains to traffic on each of the two or more intersecting lanes; determine density of traffic on each of the two or more intersecting lanes by determining number of objects of traffic on each of the two or more intersecting lanes based on the extracted one or more features; and generate control signal for each of the one or more traffic controlling apparatuses for controlling time period of operation of the one or more control lights of each of the one or more traffic controlling apparatuses.
[0037] In an embodiment, the objects of traffic comprise any or a combination of a
vehicle, a person and an animal.
[0038] In an embodiment, the one or more features comprises edges, colour and gradient
orientation.

[0039] In an embodiment, the system comprises set of relays operatively coupled with the
one or more traffic controlling apparatuses enables open circuit and closed circuit to the one or
more control lights.
[0040] In an embodiment, the top surface of one or more traffic controlling apparatuses
configured with solar panel to provide energy to battery.
[0041] In an embodiment, the battery configured with the one or more traffic controlling
apparatuses to provide power for uninterrupted operations.
[0042] In an embodiment, the system coupled with plurality of wheels at the bottom
surface thereby making the system portable.
[0043] In an embodiment, the system is tampered proof and weather proof such that the
system works in all-weather condition.
[0044] In an embodiment, the system configured with plurality of satellites enable
controlling the time period of the one or more traffic controlling apparatuses positioned with
accuracy at the two or more lanes.
[0045] In an embodiment, the present disclosure provides a method for controlling traffic
at an intersection. The method includes: extracting, by one or more processors of a control
device, one or more features from captured one or more images, from at least one camera
configured at the intersection, wherein the one or more features pertains to traffic on each of two
or more intersecting lanes; determining, by the one or more processors, density of the traffic on
each of the two or more intersecting lanes by determining for number of objects of traffic on
each of the two or more intersecting lanes based on the extracted one or more features; and
generating, by the one or more processors, a control signal for each of a one or more traffic
controlling apparatuses for controlling time period of operation of a one or more control lights of
each of the one or more traffic controlling apparatuses.
[0046] FIG. 1 A illustrates a perspective view of a system 100 for controlling traffic at an
intersection in accordance with an embodiment of the present disclosure.
[0047] In an embodiment, a system for controlling traffic at an intersection 100 can include
one or more traffic controlling apparatuses configured at the intersecting lanes coupled with
control lights 102-a, 102-b, 102-c, 102-d (collectively referred to as control lights 102 herein, and
individually referred to as control light 102). The control lights 102 can include red light, yellow
light, and green light configured with a processing unit 112. The processing unit 112can

operatively be coupled with camera 104 and traffic controlling apparatuses to determine density of traffic and based on the determined density of the traffic at intersecting lanes sends signal to the control lights 102. For example, the timer could be increased for the green light of an intersecting lane having high density of the traffic or reduced if the density of traffic is less at a lane.
[0048] In an embodiment, traffic controlling apparatus can include camera 104. The camera 104 can be coupled with the traffic controlling apparatuses in two or more intersecting lane, said camera 104 receive images or video footages of traffic objects in a part of intersecting lanes. Camera 104 can include but not limited to Closed Circuit Television (CCTV) camera 104provides high-resolution, real-time traffic information to convolutional neural network (CNN)for making roads safer, reduce congestion, and improve overall efficiency and performance of thoroughfares.
[0049] In an embodiment, the system lOOcan include convolutional neural network (CNN). The CNN scan receive the density of traffic videos having features such as but not limited to boundaries or edges of vehicles, color of roads, and gradient orientation of the intersecting lanes. CNNs can be regularized version of multilayer perceptron, said multilayer perceptrons usually mean fully connected networks, that is, each neuron in one layer is connected to all neurons in next layer. The "fully-connectedness" of these networks makes prone to over fitting data and regularization include adding some form of magnitude measurement of the edges of the vehicles, colour of roads, and gradient orientation of the intersecting lanes to loss function. However, CNNs can take a different approach towards regularization, said CNNs take advantage of hierarchical pattern in data and assemble more complex patterns using smaller and simpler patterns. The CNNs with its reinforcement learning of vehicles, roads, and orientation generates signals to traffic controlling apparatus thereby the traffic controlling apparatuses controls the timers of the control light 102.
[0050] In an embodiment the system can include processing unit 112. The processing unit 112 can be operatively coupled with the camera 104 and the traffic controlling apparatuses, the processing unit 112 configured to extract features from the captured one or more images. The extracted features can pertain to traffic on each of intersecting lanes, determine density of traffic on each of the intersecting lanes by determining number of objects of traffic on each of the intersecting lanes based on features. The processing unit 112 can generate control signal for each

of the traffic controlling apparatuses for controlling time period of operation of the control lights 102 for each of the traffic controlling apparatuses. In an exemplary embodiment, when traffic density of a particular intersecting lane can be more than traffic density of any another intersecting lane, the processing unit 112 generates a signal to green light of traffic controlling apparatus, thereby sends signal of red light to another traffic controlling apparatus. In another embodiment, the system 100 can include relays operatively coupled with the traffic controlling apparatuses enables open circuit and closed circuit to the control lights 102. [0051] In an embodiment, the system 100 can include solar panels 106. The solar panel 106 can include photovoltaic cells which are made of silicon or other semiconductor materials. The solar panels 106 can be configured at the top surface of the system typically 65 x 39 inches in size for controlling traffic at an intersection, said solar panel 106 can provide energy to the battery 108 for uninterrupted operations. In another embodiment, the battery 108 can be configured with the traffic controlling apparatuses can provide power to processing unit 112, cameras 104, and control lights 102 for uninterrupted operations.
[0052] In an embodiment, the system 100 can include tyres 110. The tyres 110 can be a ring-shaped component that surrounds a wheel's rim to transfer the system's 100 load through the wheel to ground and to provide traction on surface travelled over. The tyres 110 can be a combination of safety and long-lasting tread wear ensures easy portability of the system 100 for controlling traffic at intersecting lanes. The tyres 110 can be coupled at bottom surface of the system 100 for controlling traffic thereby making the system 100 portable.
[0053] FIG. 1 B illustrates a computing unit of a system 100 at an intersection in accordance with an embodiment of the present disclosure.
[0054] In an embodiment, the system 100 can include computing unit 120. The computing unit 120 can include processing unit 112, wireless transmission unit 116, and battery 114. The computing unit 120 can be tampered proof and weather proof such that the system 100 for controlling traffic at an intersection can work without any interruptions of external means. In an embodiment, the wireless transmission signal can be operatively coupled with the traffic controlling apparatuses for sending and receiving the signals to control the timing of the control lights 102.The wireless transmission unit 116 can be configured with the processing unit 112, said wireless transmission unitl 16 transmits and receives the signal to the processing unit 112 for proper working of the system 100 for controlling traffic at an intersection. In an embodiment, the

battery 114 can be configured with the wireless transmission unit 116, processing unit 112 to provide electricity for uninterrupted operations of the said components of the computing unit 120.
[0055] FIG. 2 illustrates exemplary embodiment traffic controlling apparatuses at intersection lanes in accordance with an embodiment of the present disclosure. [0056] In an exemplary embodiment, the system 100 can include control lights 102 configured at the intersecting lanes 202. The first traffic controlling apparatus 204 can be configured with the first intersecting lane 206, simultaneously the second traffic controlling apparatus 208 can be configured with the second intersecting lane 210. For instance, the first intersecting lane 206 having more traffic density as compared to other intersecting lanes 202. The CCTV cameras 104 configured with the traffic controlling apparatus and operatively coupled with the processing unit 112 receives the CCTV video footage. CNNs based on detection of edges of the vehicles, colour of the road, white colour of division of the road, and gradient orientation of the intersecting lanes 202 with reinforcement learning gives signal to the control lights configured with the traffic controlling apparatuses. Based on the traffic density the timer of green light in the control lights 102 can be increased in the first intersection lane 206 thereby signalling red light in second intersection lane 210 with low density. This can reduce waiting time of vehicle with more traffic density as compared to manual or conventional system for controlling traffic at an intersecting lane 202. In another exemplary embodiment, if an situation arises that there is red light in first intersecting lane 206 with high traffic density, the CCTV video footage will be analysed by the processing unit 112,thereby giving signal to the traffic controlling apparatus to reduce the timer of the red light in the first intersection lane 206,thereby saving waiting time of the vehicles in the first intersecting lane 206. [0057] In an aspect, the proposed method may be described in general context of computer executable instructions. Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, functions, etc., that perform particular functions or implement particular abstract data types. The method can also be practiced in a distributed computing environment where functions are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, computer executable instructions may be located in both local and remote computer storage media, including memory storage devices.

[0058] The order in which the method as described is not intended to be construed as a limitation, and any number of the described method blocks may be combined in any order to implement the method or alternate methods. Additionally, individual blocks may be deleted from the method without departing from the spirit and scope of the subject matter described herein. Furthermore, the method may be implemented in any suitable hardware, software, firmware, or combination thereof. However, for ease of explanation, in the embodiments described below, the method may be considered to be implemented in the above described system. [0059] FIG. 3 illustrates method 300 for controlling traffic at an intersection in accordance with an embodiment of the present disclosure.
[0060] In an aspect, the proposed method may be described in general context of computer executable instructions. Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, functions, etc., that perform particular functions or implement particular abstract data types. The method can also be practiced in a distributed computing environment where functions are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, computer executable instructions may be located in both local and remote computer storage media, including memory storage devices.
[0061] The order in which the method as described is not intended to be construed as a limitation, and any number of the described method blocks may be combined in any order to implement the method or alternate methods. Additionally, individual blocks may be deleted from the method without departing from the spirit and scope of the subject matter described herein. Furthermore, the method may be implemented in any suitable hardware, software, firmware, or combination thereof. However, for ease of explanation, in the embodiments described below, the method may be considered to be implemented in the above described system. [0062] In an aspect, the present disclosure elaborates upon a method 300 controlling traffic at an intersection that comprises, at block 302, extracting, by one or more processors of a control device, one or more features from captured one or more images, from at least one camera configured at the intersection, wherein the one or more features pertains to traffic on each of two or more intersecting lanes.
[0063] In an aspect the method 300 further comprises at block 304, determining, by the one or more processors, density of the traffic on each of the two or more intersecting lanes by

determining for number of objects of traffic on each of the two or more intersecting lanes based
on the extracted one or more features.
[0064] In an aspect the method further comprises at block 306, generating, by the one or
more processors, a control signal for each of one or more traffic controlling apparatuses for
controlling time period of operation of a one or more control lights of each of the one or more
traffic controlling apparatuses.
[0065] FIG. 4 illustrates of traffic density estimation using satellites in accordance with an
embodiment of the present disclosure.
[0066] In an embodiment, the system can include satellites 402. The satellites 402can
include but not limited to Global positioning system (GPS), Global Navigation Satellite System
(GNSS) provides real time data for the traffic density in the intersecting lanes 202 based on
specified location. The satellites 402 can be configured with the processing unit 112 enables to
receive real time traffic density information for more accuracy of operation of traffic controlling
apparatuses.
[0067] As used herein, and unless the context dictates otherwise, the term "coupled to" is
intended to include both direct coupling (in which two elements that are coupled to each other or
in contact each other)and indirect coupling (in which at least one additional element is located
between the two elements). Therefore, the terms "coupled to" and "coupled with" are used
synonymously. Within the context of this document terms "coupled to" and "coupled with" are
also used euphemistically to mean "communicatively coupled with" over a network, where two
or more devices are able to exchange data with each other over the network, possibly via one or
more intermediary device.
[0068] Moreover, in interpreting both the specification and the claims, all terms should be
interpreted in the broadest possible manner consistent with the context. In particular, the terms
"comprises" and "comprising" should be interpreted as referring to elements, components, or
steps in a non-exclusive manner, indicating that the referenced elements, components, or steps
may be present, or utilized, or combined with other elements, components, or steps that are not
expressly referenced. Where the specification claims refers to at least one of something selected
from the group consisting of A, B, C ... .and N, the text should be interpreted as requiring only
one element from the group, not A plus N, or B plus N, etc.

[0069] While some embodiments of the present disclosure have been illustrated and described, those are completely exemplary in nature. The disclosure is not limited to the embodiments as elaborated herein only and it would be apparent to those skilled in the art that numerous modifications besides those already described are possible without departing from the inventive concepts herein. All such modifications, changes, variations, substitutions, and equivalents are completely within the scope of the present disclosure. The inventive subject matter, therefore, is not to be restricted except in the spirit of the appended claims.
ADVANTAGES OF INVENTION
[0070] The present disclosure provides a system for controlling traffic at an intersection.
[0071] The present disclosure provides a system for optimizing traffic hold time traffic at an
intersection.
[0072] The present disclosure provides a system for controlling traffic that helps reduce
traffic congestion at the intersection at an intersection.
[0073] The present disclosure provides a system for controlling traffic at an intersection with
dynamic traffic light timing.

We Claim:
1. A system (100) for controlling traffic at an intersection, said system (100) comprising:
one or more traffic controlling apparatuses having one or more control lights (102), the one or more traffic controlling apparatuses configured at the intersection having two or more intersecting lanes (202);
at least one camera (104) configured at the intersection to capture one or more images of at least a part of the two or more intersecting lanes (202);
a processing unit (112) operatively coupled with the at least one camera (104) and the one or more traffic controlling apparatuses, the processing unit (112) configured to:
extract one or more features from the captured one or more images, wherein the one or more features pertains to traffic on each of the two or more intersecting lanes (202);
determine density of traffic on each of the two or more intersecting lanes (202) by determining number of objects of traffic on each of the two or more intersecting lanes (202) based on the extracted one or more features; and
generate control signal for each of the one or more traffic controlling apparatuses for controlling time period of operation of the one or more control lights (102) of each of the one or more traffic controlling apparatuses.
2. The system (100) as claimed in claim 1, wherein the objects of traffic comprises any or a combination of a vehicle, a person and an animal.
3. The system as claimed in claim 1, wherein the one or more features comprises edges, colour and gradient orientation.
4. The system as claimed in claim 1, wherein the system (100) comprises set of relays operatively coupled with the one or more traffic controlling apparatuses enables open circuit and closed circuit to the one or more control lights (102).
5. The system as claimed in claim 1, wherein the top surface of one or more traffic controlling apparatuses configured with solar panel (106) to provide energy to battery (108).
6. The system as claimed in claim 5, wherein the battery (108) configured with the one or more traffic controlling apparatuses to provide power for uninterrupted operations.

7. The system as claimed in claim 1, wherein system (100) coupled with plurality of wheels (110) at the bottom surface thereby making the system (100) portable.
8. The system as claimed in claim 1, wherein the system (100) is tampered proof and weather proof such that the system (100) works in all-weather condition.
9. The system as claimed in claim 1, wherein the system (100) configured with plurality of satellites (402) enable controlling the time period of the one or more traffic controlling apparatuses positioned with accuracy at the two or more intersecting lanes (202).
10. A method for controlling traffic at an intersection, said method comprising:
extracting, by one or more processors of a control device, one or more features from captured one or more images, from at least one camera (104) configured at the intersection, wherein the one or more features pertains to traffic on each of two or more intersecting lanes (202);
determining, by the one or more processors, density of the traffic on each of the two or more intersecting lanes (202) by determining for number of objects of traffic on each of the two or more intersecting lanes (202) based on the extracted one or more features; and
generating, by the one or more processors, a control signal for each of a one or more traffic controlling apparatuses for controlling time period of operation of a one or more control lights (102) of each of the one or more traffic controlling apparatuses.