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Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...IJSRD
During recent years traffic congestion is become a serious problem in almost all cities. Due to the high density of traffic, pedestrians find it difficult to cross the road. Even though several advanced strategic plans are introduced to regulate the traffic but due to lack of provision for on- road pedestrian crossing, rate of accidents become very high. One such provision is given is elevated path for pedestrian to cross the road, but the elderly person finds it difficult to use that. Hence an idea is proposed to help the elderly people by giving provision for on- road pedestrian crossing in high density traffic areas like near schools, hospitals, markets, etc. which reduces the accidents rate also. To implement this, here an additional time delay is introduced in the traffic signal for pedestrian crossing in addition to vehicle crossing in all possible direction. Additionally, provision is given to track the vehicle which violates the traffic rules and to clear the traffic for emergency vehicles. All the above said three parameters can be simulated by using PROTEUS software.
Abstract Traffic congestion on city road networks is one of the main issues to be addressed by today’s traffic management schemes. The frequent traffic jams at major junctions call for an efficient traffic management system in place. The image sequences from a camera are analyzed using edge detection technique, object counting method and queue length estimation to obtain the most efficient technique. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed. The paper also proposes to implement a real-time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others. Using image-processing operations to calculate traffic density is cost effective as cameras are cheaper and affordable devices compared to any other devices such as sensors. Keywords: Edge detection, Object counting, vehicle queue length, traffic management, image processing.
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...IJSRD
During recent years traffic congestion is become a serious problem in almost all cities. Due to the high density of traffic, pedestrians find it difficult to cross the road. Even though several advanced strategic plans are introduced to regulate the traffic but due to lack of provision for on- road pedestrian crossing, rate of accidents become very high. One such provision is given is elevated path for pedestrian to cross the road, but the elderly person finds it difficult to use that. Hence an idea is proposed to help the elderly people by giving provision for on- road pedestrian crossing in high density traffic areas like near schools, hospitals, markets, etc. which reduces the accidents rate also. To implement this, here an additional time delay is introduced in the traffic signal for pedestrian crossing in addition to vehicle crossing in all possible direction. Additionally, provision is given to track the vehicle which violates the traffic rules and to clear the traffic for emergency vehicles. All the above said three parameters can be simulated by using PROTEUS software.
Abstract Traffic congestion on city road networks is one of the main issues to be addressed by today’s traffic management schemes. The frequent traffic jams at major junctions call for an efficient traffic management system in place. The image sequences from a camera are analyzed using edge detection technique, object counting method and queue length estimation to obtain the most efficient technique. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed. The paper also proposes to implement a real-time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others. Using image-processing operations to calculate traffic density is cost effective as cameras are cheaper and affordable devices compared to any other devices such as sensors. Keywords: Edge detection, Object counting, vehicle queue length, traffic management, image processing.
This paper presents a novel approach for the computerization of driving license test system. In existing automated track has been implemented which includes in a driving test a candidate applying for license have to drive over all closed loop path in front of the authorities. He / She should be able to drive over the path without any support by resting his / her foot on the vehicle or land surface. If the candidate fails to do, he / she will be disqualified. The authorities will be watching the candidate manually. In proposed system, No authorities are needed for checking the candidates .Various sensors has been utilized for watching the candidate fails to their foot in the vehicle by differential output from the sensor can be monitored .The sensors installed are Load Sensor for checking the rest of foot on the vehicle or land surface .Smoke Sensor for checking the amount of smoke released while the accelerator raised. Grip Sensor for maintaining the gear speed. Gyroscope (Accelerometer Sensor) for checking whether the candidate drives the vehicle in correct direction or not. So, Bribes could not be encouraged for issuing the license and no illegal action will be involved. We can get RTO license easily without any problem. R. Preethi | P. Rajeshwari | R. Ananthi"Bionic Person for Issuing of RTO License" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11438.pdf http://www.ijtsrd.com/engineering/computer-engineering/11438/bionic-person-for-issuing-of-rto-license/r-preethi
Survey of Smartphone applications based on OBD-II for Intelligent Transportat...IJERA Editor
Highway transportation is supported with several technologies to decrease risk factors and to obtain secure drive.
With improved software and hardware smartphone technology is able to monitor the useful information from
information network and especially it helps to maintain and control better traffic management for ITS. In this
study accession systems to electronic control unit are examined and also access procedure to vehicle status via
onboard diagnostic (OBD) also demonstrated. Additionally vehicle and environment information evaluation and
prevention of accident risks with smartphone technology are also indicated.
RescueAlert-an accident detection and rescue mechanism IJECEIAES
With the increase of vehicles and cars of different kind and the large movement that occurs every day on the roads it was natural to observe an increase in traffic accidents, but the real dilemma lies in how to make the rescue process efficient. The problem that we want to solve is the response of ambulances towards accidents and the lengthy registration process of patients in hospitals. In the above two scenarios, the manual process of calling the ambulance leads to delay in rescue of patients from an accident and the delay in registration of patient leads to delay in medication or treatment of the patient. We want to make the process more efficient by automating accident detection for increasing the efficiency of the ambulance rescue process and by sending the details of the patient before the patient reaches the hospitals for faster treatment of patients. Along with this, alert messages will be sent to the family or friends of the patients to notify them as soon as an accident is detected.
Statistics indicate that most road accidents occur due to a lack of time to react to instant traffic. This problem can be addressed with self-driving vehicles with the application of automated systems to detect such traffic events. The Autonomous Vehicle Navigation System (ATS) has been a standard in the Intelligent Transport System (ITS) and many Driver Assistance Systems (DAS) have been adopted to support these Advanced Autonomous Vehicles (IAVs). To develop these recognition systems for automated self-driving cars, it's important to monitor and operate in real-time traffic events. It requires the correct detection and response of traffic event an automated vehicle. In this paper proposed to develop such a system by applying image recognition to detect and respond to a road blocker by means of real-time distance measurement. To study the performance by measuring accuracy and precision of road blocker detection system and distance calculation, various experiments were conducted by using Shalom frame dataset and detection accuracy, precision of 99%, 100%, while distance calculation 97%, 99% has been achieved by this approach.
This paper presents a novel approach for the computerization of driving license test system. In existing automated track has been implemented which includes in a driving test a candidate applying for license have to drive over all closed loop path in front of the authorities. He / She should be able to drive over the path without any support by resting his / her foot on the vehicle or land surface. If the candidate fails to do, he / she will be disqualified. The authorities will be watching the candidate manually. In proposed system, No authorities are needed for checking the candidates .Various sensors has been utilized for watching the candidate fails to their foot in the vehicle by differential output from the sensor can be monitored .The sensors installed are Load Sensor for checking the rest of foot on the vehicle or land surface .Smoke Sensor for checking the amount of smoke released while the accelerator raised. Grip Sensor for maintaining the gear speed. Gyroscope (Accelerometer Sensor) for checking whether the candidate drives the vehicle in correct direction or not. So, Bribes could not be encouraged for issuing the license and no illegal action will be involved. We can get RTO license easily without any problem. R. Preethi | P. Rajeshwari | R. Ananthi"Bionic Person for Issuing of RTO License" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11438.pdf http://www.ijtsrd.com/engineering/computer-engineering/11438/bionic-person-for-issuing-of-rto-license/r-preethi
Survey of Smartphone applications based on OBD-II for Intelligent Transportat...IJERA Editor
Highway transportation is supported with several technologies to decrease risk factors and to obtain secure drive.
With improved software and hardware smartphone technology is able to monitor the useful information from
information network and especially it helps to maintain and control better traffic management for ITS. In this
study accession systems to electronic control unit are examined and also access procedure to vehicle status via
onboard diagnostic (OBD) also demonstrated. Additionally vehicle and environment information evaluation and
prevention of accident risks with smartphone technology are also indicated.
RescueAlert-an accident detection and rescue mechanism IJECEIAES
With the increase of vehicles and cars of different kind and the large movement that occurs every day on the roads it was natural to observe an increase in traffic accidents, but the real dilemma lies in how to make the rescue process efficient. The problem that we want to solve is the response of ambulances towards accidents and the lengthy registration process of patients in hospitals. In the above two scenarios, the manual process of calling the ambulance leads to delay in rescue of patients from an accident and the delay in registration of patient leads to delay in medication or treatment of the patient. We want to make the process more efficient by automating accident detection for increasing the efficiency of the ambulance rescue process and by sending the details of the patient before the patient reaches the hospitals for faster treatment of patients. Along with this, alert messages will be sent to the family or friends of the patients to notify them as soon as an accident is detected.
Statistics indicate that most road accidents occur due to a lack of time to react to instant traffic. This problem can be addressed with self-driving vehicles with the application of automated systems to detect such traffic events. The Autonomous Vehicle Navigation System (ATS) has been a standard in the Intelligent Transport System (ITS) and many Driver Assistance Systems (DAS) have been adopted to support these Advanced Autonomous Vehicles (IAVs). To develop these recognition systems for automated self-driving cars, it's important to monitor and operate in real-time traffic events. It requires the correct detection and response of traffic event an automated vehicle. In this paper proposed to develop such a system by applying image recognition to detect and respond to a road blocker by means of real-time distance measurement. To study the performance by measuring accuracy and precision of road blocker detection system and distance calculation, various experiments were conducted by using Shalom frame dataset and detection accuracy, precision of 99%, 100%, while distance calculation 97%, 99% has been achieved by this approach.
The number of automobiles on the road will only increase due to the ever increasing population development in urban areas across the world and manufacturers ongoing manufacturing of all types of vehicles. This inevitably causes additional traffic congestion, which is exacerbated during rush hour and especially in big urban areas. Urban planners, local officials, and academics are continuously under pressure from this phenomenon to find methods to make traffic management systems safer and more cost effective. Numerous researches have been carried out to solve this ongoing issue, leading to some major advancements like specific lanes for emergency vehicles in metropolitan areas. Even with these lanes, it is sometimes challenging to meet the appropriate goal timeframes for emergency vehicles to arrive at their locations. Intelligent Transportation System is a fresh approach that aims to solve this problem ITS . By fusing present infrastructure with existing technologies, this approach can aid in problem solving. In this paper, three alternative traffic management techniques RFID, Internet of Things, and Traffic Light Systems TLS , which can be static or dynamic IoT . In the latter approach, traffic data are swiftly gathered and delivered to Big Data for analysis, while mobile applications, also known as User Interface UI , are used to evaluate traffic density in various places and offer alternate traffic relief suggestions. Bharti Kumari | Vinod Mahor "Review: Smart Traffic Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50595.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/50595/review-smart-traffic-management-system/bharti-kumari
Traffic Detection System is an Android application that aims at determining the behavior of traffic in a particular location. It calculates the speed of the vehicle and the level of congestion or the amount of traffic is determined on the basis of the values of sensors. If any such obstruct found, then the driver is provided an option to send messages regarding high traffic to his/her friends. After a distinct number of repeated low speed and breaks, the location of the vehicle (latitude and longitude) send to a pre-specified contact (selected in case of traffic congestion) through an SMS. This application uses the features of the Global positioning system. The Latitude, as well as the longitude of the location where traffic jams are formed, is sent to the friends of the user. The Goggle map of the location also sends to the friends. It uses the SMS Manager a functionality of Android. The friends receiving the messages will thereby avoid taking the congested route and hence the level of traffic on the congested road will decrease, and the friends will reach the destination in comparatively less time.
Traffic Detection System is an Android application that aims at determining the behavior of traffic in a particular location. It calculates the speed of the vehicle and the level of congestion or the amount of traffic is determined on the basis of the values of sensors. If any such obstruct found, then the driver is provided an option to send messages regarding high traffic to his/her friends. After a distinct number of repeated low speed and breaks, the location of the vehicle (latitude and longitude) send to a pre-specified contact (selected in case of traffic congestion) through an SMS. This application uses the features of the Global positioning system. The Latitude, as well as the longitude of the location where traffic jams are formed, is sent to the friends of the user. The Goggle map of the location also sends to the friends. It uses the SMS Manager a functionality of Android. The friends receiving the messages will thereby avoid taking the congested route and hence the level of traffic on the congested road will decrease, and the friends will reach the destination in comparatively less time.
ITS is the system defined as the electronics, advanced technology, communications or information processing used singly or integrated to enhance safety, mobility, and the economic vitality of the surface transportation system. The Intelligent Transport Systems (ITS) makes automobiles and the road traffic infrastructure intellectual and information-oriented in an integrated way to provide a safe and comfortable traffic system.
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Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Ijetr021143
1. International Journal of Engineering and Technical Research (IJETR)
ISSN: 2321-0869, Volume-2, Issue-1, January 2014
92 www.erpublication.org
Abstract— As growing population the Traffic also increasing
on roads day by day.The roadsare full of the vehicles all time.
When the traffic increases on road traffic violation increased
due to heavy traffic. The drivers do not obey the rules like
speed limit. Thereason is high speed of vehicle
increasesviolation. Thespeed of the vehicles is beyond the
expected speed limit is called speed violation. The speed of the
vehicle is more than defined limit is dangerous because it
increases the chances of accidents. Speedviolation is a major
reason behind on road accidents. These violator’s vehicles are
not tracked by human eyes. So, various systemshave been
developed for the detecting speed ofvehicles.But these systems
are suffered from the problems that occur due to bad weather
condition and bad light condition. In this paper we introduced
a system, based on RFID technology, which is capable of work
properly even in bad lighting and weather conditions.
Index Terms— Speed limit, Violator Vehicles, vehicle Speed
Violation, RFID
I. INTRODUCTION
Traffic control is an outdoors occupation, night or day for
long hours in all weathers, and is considered a dangerous
occupation due to the high risk of being struck by passing
vehicles. The traffic control process usually starts with a
traffic control plan.The traffic sign used to convey traffic
rules and regulations such as speed limit.The speed of vehicle
means on which speed vehicle moves on the road. Vehicle
speed detection is very important for observing speed
limitation law and it also demonstrates traffic condition. The
speed of the vehicle more than defined limit is dangerous
which
makes the chances of accidents. When vehicles speed
violation increased the accidents increased time to time.
Video and image processing have been used for traffic
supervision, analysis and monitoring of traffic condition in
many cities and urban areas.Extract reliable and precise
traffic parameters have been one of research objectives in last
three decades. For the traffic planning and management,
obtaining the traffic parameter is the critical step. Traffic
parameter must be carried out at different environments
where the traffic condition changes as well as the light
illumination.[1]The intelligent Transportations system (ITS)
is a new approach to manage traffic vehicles. These systems
are becoming more important due to their advantages of
Manuscript received January 20, 2014.
Mr. Sukhdeep Singh received the B.Tech Degree in Information
technology from Lovely school of Engg. & Tech, Lovely Professional
University, Jallandhar , India in 2010.
Miss.Rishma chawla received M.Tech Degree in Computer Sci. & Engg.
from Guru Nanak University , India. Currently working as Assistant Professor
in Computer Science & engg. at Ramgarhia institute of Engg. & Tech.
Mr.Harpal Singh. received the M.tech degree in Computer Science &
Engg. from Lovely Professional University in 2012.Currently working in GKU
as an Assistant Professor in Computer Science Department.
saving lives, money, and time. Acquiring traffic information,
such as lane width traffic volume (the number of travelling
vehicles per time periodthrough a position in a lane), traffic
density(the number of total vehicles in a given area at a given
time) and vehicle speed, these are the key part of Intelligent
transportation systems and such information is used to
manage and control traffic. It focuses on vehicle speed since
reducing speed can help to reduce accidents. [2]
II. RELATED WORK
The lot of work and efforts has been done for vehicle
detection and speed measurements. Ferrier et al. (1994)
introduced vehicle detection based on frame
difference,un-calibrated camera (Pumrin and Dailey, 2002),
motion trajectories (Melo et al., 2006), geometric al optics
(Jianping et al., 2009), and digital aerial images (Fumio etal.,
2008; Wen and Fumio, 2009) are already introduced. Also,
Huei-Yung and Kun-Jhih (2004) used blur images to find out
the vehicle speed and Pumrin and Dailey (2002) utilized
camera motion detection for automated speed measurements.
Shisong et al. (2006) took advantage of feature point tracking
for vehicle speed measurements. [3]Vision-based vehicle
speed measurement (VSM) is one of the most convenient
methods available in intelligent transportation systems. A
new algorithm for estimating individual vehicle speed based
on two consecutive images captured from a traffic safety
camera system. Its principles are first, both images are
transformed from the image plane to the 3D world
coordinates based on the calibrated camera parameters.
Second, the difference of the two transformed images is
calculated, resulting in the background being eliminated and
vehicles in the two images are mapped onto one image.
Finally, a block feature of the vehicle closest to the ground is
matched to estimate vehicle travel distance and speed. [4]The
other techniques for vehicle speed measurement technologies
are radar, speed measurement by Laser, Speed Measurement
byLights, Speed measurement through techno graphs etc. [5]
III. RESEARCH WORK
The RFID technology has been incorporated to commercial
transportation systems.A Radio Frequency Identification
(RFID) system consists of one or more tags (ortransponders)
that store data and transfer the data to one or more readers
(orinterrogators) over a wireless interface. In practical RFID
systems the readers arenetworked to a wider enterprise
computer system. The main function of an RFID systemis to
enable tagged items or persons to automatically state their
identity to other systemswirelessly.A well known example is
the RFID-based highway toll collection systems which are
now routinely employed in many countries, like the Telecast
system in Italyor the Auto pass system in Norway. Other uses
include monitoring systems to avoid vehicle theft [6], access
control to car parking or private areas [7], and embedding of
Intelligent Speed Violation Detection System
Sukhdeep Singh, Rishma Chawla, Harpal Singh
2. Intelligent Speed Violation Detection System
93 www.erpublication.org
RFID tags in license plates with specially coded IDs for
automatic vehicle detection and identification [8]. Radio
Frequency Identification (RFID) technology shows a
continuous growth in various application fields, like
logistics, medical science, security, access control etc. The
RFID system is a three component system consisting of: tag,
reader and database. The access control, specifically, is
detection of IDs entry to or exit from the range area of the
RFID reader. [11] The RFID technology is a means of
gathering data about a certain item without the need of
touching or seeing the data carrier, through the use of
inductive coupling or electromagnetic waves. The data
carrier is a microchip attached to an antenna (together called
transponder or tag), the latter enabling the chip to transmit
information to a reader (or transceiver) within a given range,
which can forward the information to a host computer. The
middleware (software for reading and writing tags) and the
tag can be enhanced by data encryption for security-critical
application at an extra cost, and anti-collision algorithms
may be implemented for the tags if several of them are to be
read simultaneously. [9]An RFID system consists in a set of
emitters or tags which, periodically or upon interrogation,
transmit a short digital radiofrequency message containing
an identification code (unique to each tag) as well as some
data stored in the tag’s memory. These data can be obtained
remotely by a computer equipped with an RFID reader.
Figure 1: Components of an RFID System [12]
The main advantage of RFID systems—with respect to other
RF technologies, which could be used for
infrastructure-to-vehicle (I2V) communications — is its low
cost and minimum infrastructure maintenance, which results
in a high scalability and easy deployment of the
infrastructure.[10]The RFID based System uses the Radio
frequencyidentification technology. In this system used the 2
RFID Readers for reading the RFID Tag enable vehicle. The
RFID Reader mounted on the Road within the few distance.
The RFID tag placed in the vehicle. The System used passive
tags which store the vehicle information. Passive Tag
obtained power from the reader.
Figure 2: RFID based System environment.
In RFID based system when tag enabled vehicle (V1) comes
under in the range of Reader 1 (R1) the vehicle information
read by the R1 from the vehicle tag, the entry of the vehicle
stored in the database with time, date and vehicle number.
After this the vehicle travelled from R1 to R2.When vehicle
comes in the range of Reader (R2) the entry about vehicle
store again in database with outing time. After this system
calculate the difference between entries of vehicle form both
readers. The time is calculated by time taken for travelled by
vehicle from R1 to R2 (R2, T – R1, T).Speed is calculated by
Distance/Time. Distance between the Readers predefined.
After speed calculation, the current speed is compare with
existing speed limit if the current vehicle speed is more than
given vehicle limit it declared as ―Speed Violator‖. In this
system vehicles are divided in different categories like light
weight vehicle, heavy weight vehicle and two wheelers.
According to vehicle type the speed limit is compared or
checked.
Flow Chart of RFID Based System.
ALGORITHM
3. International Journal of Engineering and Technical Research (IJETR)
ISSN: 2321-0869, Volume-2, Issue-1, January 2014
94 www.erpublication.org
Step1: Pick the reading of two Readers (R1 & R2) of the
vehicle.
Step 2: Calculate the difference between the readings of R1 &
R2 and Store it into variable Time.
Time = R2 – R1,VT = Time
Step 3: Next, Calculate the speed
Speed = Distance/Time, Vs =Speed
(Distance is predefined)
Step 4: Extract the type of the vehicle from vehicle number
(VN) and store it into a variable TYPE VEHICLE.
Step 5: Now compare the vehicle type with vehicle category
after this according to category and check its type.
Step 6: Now compare the current speed with given speed
limit of vehicle type.
Step 7: If the current speed greater then speed limit then
vehicle declared as Violator. The information about violator
vehicle is stored in the database.
Step 8: End
IV. RESULTS
The RFID based system improves the performance of speed
violation system as shown in the following tables and charts.
Table 1: Compression table of error rate in RFID based system and Vision based
system during day time.
Error in RFID
System day time
Error in Vision Based
System day time
2.67 3.27
Compression Chart of error rate in RFID based system and Vision based system
during day time.
The error rate of Vision based detection system is 8.51 during
night and 3.27 during day time. Where the error rate of RFID
based speed violation detection system are 2.67 during day
time as well as during night time. On the basis of results
given above it’s prove that RFID based system perform well
even in night time. There is no effect of bad weather and bad
lighting condition on RFID based speed violation detection
system.
Table 2: Compression table of error rate in RFID based system and Vision based
system during Night time.
Error in RFID
System Night time
Error in Vision Based
System Night time
2.67 8.51
Compression chart of error rate in RFID based system and Vision based system
during Night time.
V. CONCLUSION
The multiple technologies used for speed violation detection
like Radar Based Technology, Laser Light System, Average
speed computer System, Vision Based System etc. Each of
them suffer from the problem like Less Accuracy; don’t work
in bad weather or light condition, High Cost, Limited Range,
Line of sight, problem to Focus on a particular vehicle etc.
With the help of RFID reader and tag communication, the
system can track the violator vehicles even in bad weather
conditions and bad lighting conditions. The Radar and
Vision based vehicle system the averaged estimation errors
for day time cases is 3.27%, while for night time cases is
8.51%. [2]Using the RFID based system the error rate is 2.67
even in day time as well as during night time so its accuracy
is better than vision based system and radar system.In the
RFID based system the multiple vehicles can be detected at
same time.
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Mr. Sukhdeep Singh received the B.Tech Degree in
Information technology from Lovely school of Engg. &
Tech, Lovely Professional University, Jallandhar , India
in 2010.He had presented various papers in
international journals. His area of interested is
networking.
Miss.Rishma chawla received M.Tech Degree in
Computer Sci. & Engg. from Guru Nanak University ,
India. Currently working as Assistant Professor in
Computer Science & engg. at Ramgarhia institute of
Engg. & Tech.She has 3 year teaching experience. She
has presented 3 national papers and 7 international
journals.Her area of interest is Digital Image Processing
& networking.
Mr.Harpal Singh. received the M.tech degree in
Computer Science & Engg. from Lovely Professional
University in 2012.Currently working in GKU as an
Assistant Professor in Computer Science Department. He
has two year teaching experience. He has presented more
than 10 national and international research
paper/journals in various conferences. His area of interest
is VANET and other Adhoc network technologies.