scholarly journals Pengenalan Dan Perhitungan Kendaraan Sepeda Motor Pada Video Lalu Lintas Menggunakan Teknik Background Subtraction

Respati ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 53
Author(s):  
Heri Suardi ◽  
Arief Setyanto ◽  
Mei P Kurniawan
Keyword(s):  
Background Subtraction ◽  
Traffic Accidents ◽  
Vehicle Classification ◽  
Traffic Information ◽  
Reduction Algorithm ◽  
Video Capture ◽  
Video Analytics ◽  
Moving Vehicle ◽  
Smart Transportation ◽  
Background Reduction

INTISARIKlasifikasi kendaraan adalah bagian penting dari Sistem Smart Transportasi. Dalam penelitian ini, didedikasikan untuk presentasi sistem untuk penghitungan dan deteksi kendaraan bermotor. Pengolahan video digunakan untuk mengklasifikasikan kendaraan di jalur khusus. Dimana diharapkan dapat membantu mengurangi tingkat kecelakaan akibat pelanggaran lalu lintas yang disebabkan oleh pengendara yang melawan arus pada jalan satu arah. Kami mengusulkan algoritma background subtraction untuk mendeteksi piksel foreground sesuai dengan kendaraan yang bergerak. Prinsip sistem ini adalah menggunakan kamera statis, kondisi dimana kamera dalam keadaan stabil. Sistem ini mencakup proses pengambilan video, klasifikasi kendaraan dan penghitungan kendaraan. Kata kunci— deteksi kendaraan, traffic information, background subtraction, analisis video, klasifikasi. ABSTRACT Vehicle classification is an important part of the Smart Transportation System. In this study, it was challenging to present a system for counting and detection of transition vehicles. Processing video used to classify vehicles on a special lane. Which is expected to help reduce the level of traffic accidents passed by motorists who oppose the flow on one-way streets. We request a background reduction algorithm to move the foreground pixels according to the moving vehicle. The principle of this system uses a statistical camera, a condition where the camera is stable. This system regulates the process of video capture, vehicle classification and vehicle calculation. Kata kunci—  vehicle detection, traffic information, background subtraction, video analytics, clasification.

scholarly journals Analysis of Vehicle Collision on an Assembled Anti-Collision Guardrail

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5152
Author(s):  
Juncheng Yao ◽  
Bo Wang ◽  
Yujie Hou ◽  
Liang Huang
Keyword(s):  
Working Conditions ◽  
Traffic Accidents ◽  
Analysis Software ◽  
Time Curve ◽  
Vehicle Collisions ◽  
Moving Vehicle ◽  
Vehicle Collision ◽  
New Type ◽  
Main Girder ◽  
Protective Performance

Traffic accidents such as vehicle collisions with bridge guardrails occur frequently. These accidents cause damage to the driver and the vehicle as well as the bridge. A new type of assembled anti-collision guardrail is proposed in this study. LS-DYNA is a nonlinear display dynamic analysis software used to evaluate the safety of a new type of assembled anti-collision guardrail. A specific, numerically analyzed model of vehicle–guardrail collision is established using LS-DYNA. The energy distribution–time curve of the vehicle collision process is obtained. After comparison with measured data from the vehicle collision test, the model of vehicle–guardrail collision is verified as being correct. Based on this, we analyze the process of a vehicle collision on the assembled anti-collision guardrail. The result shows that the assembled anti-collision guardrail proposed in this paper can better change the trajectory of a moving vehicle and can prevent the vehicle from falling off the bridge. From the car body collision results, the assembled anti-collision guardrail for bridges proposed in this paper can reduce vehicle damage and can protect the driver effectively. From the analysis of the main girder stress on the bridge, an anti-collision guardrail installed on an existing bridge will not cause damage to the main girder during a collision. In order to study the influence of the four parameters on the anti-collision effect, we carried out a comparative calculation of multiple working conditions. The results show that the new type of assembled anti-collision guardrail has good protective performance under different working conditions.

Actuation of Adaptive Rearview System for Motorcycles

2013 ◽  
Vol 284-287 ◽  
pp. 587-591 ◽  
Author(s):  
Yao Jung Shiao ◽  
Quang Anh Nguyen ◽  
Chun Fang Hou
Keyword(s):  
Vehicle Dynamics ◽  
Traffic Accidents ◽  
Mirror System ◽  
Traffic Information ◽  
Blind Area ◽  
Rearview Mirror

Conventionally, a motorcycle has headlight and mirrors to provide front illumination and rear views for drivers, respectively. Rearview mirrors on conventional motorcycles are fixed, which is easy to cause instant rear blind area for drivers on turns or hubbly roads. Therefore, the drivers cannot get traffic information behind motorcycles, and easily lead to traffic accidents. In this paper, actuation for an adaptive rearview mirror system for motorcycles was proposed. According to sensor inputs, this system adaptively adjusts the rearview mirrors to compensate the changes of vehicle dynamics in pitching, steering and rolling under different road conditions. A grey predictor was also developed in this paper to estimate the change of vehicle dynamics in advance. With the properly designed actuation, this system can provide wide and appropriate rear views to motorcycle riders. It significantly enhances riders’ safety and reduces the occurrence of traffic accidence.

A study on Private Car Accidents

2021 ◽  
Vol 11 (1) ◽  
pp. 10-24
Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Economic Losses ◽  
Moving Vehicle ◽  
The Road ◽  
Lost Productivity ◽  
On The Road

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.

A Study on Advance Traffic Information to Prevent Secondary Traffic Accidents on Express Highway

2021 ◽  
Vol 23 (3) ◽  
pp. 83-92
Author(s):  
SuJeong Hong ◽  
JiYeon Lee ◽  
HaRam Oh ◽  
Hyungkyu Kim
Keyword(s):  
Traffic Accidents ◽  
Traffic Information

scholarly journals Doppler-Spectrum Feature-Based Human–Vehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2001 ◽  
Author(s):  
Eugin Hyun ◽  
YoungSeok Jin
Keyword(s):  
Classification Scheme ◽  
Vehicle Classification ◽  
Doppler Spectrum ◽  
Support Vector ◽  
Radar Sensor ◽  
Moving Vehicle ◽  
Fmcw Radar ◽  
Wave Radar ◽  
Spectrum Feature ◽  
Feature Based

In this paper, we propose a Doppler-spectrum feature-based human–vehicle classification scheme for an FMCW (frequency-modulated continuous wave) radar sensor. We introduce three novel features referred to as the scattering point count, scattering point difference, and magnitude difference rate features based on the characteristics of the Doppler spectrum in two successive frames. We also use an SVM (support vector machine) and BDT (binary decision tree) for training and validation of the three aforementioned features. We measured the signals using a 24-GHz FMCW radar front-end module and a real-time data acquisition module and extracted three features from a walking human and a moving vehicle in the field. We then repeatedly measured the classification decision rate of the proposed algorithm using the SVM and BDT, finding that the average performance exceeded 99% and 96% for the walking human and the moving vehicle, respectively.

scholarly journals A Lightweight Moving Vehicle Classification System Through Attention-Based Method and Deep Learning

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 157564-157573
Author(s):  
Nasaruddin Nasaruddin ◽  
Kahlil Muchtar ◽  
Afdhal Afdhal
Keyword(s):  
Deep Learning ◽  
Classification System ◽  
Vehicle Classification ◽  
Moving Vehicle

scholarly journals The impact of traffic flow structure on traffic safety: the case of Slovenian motorways

Transport ◽  
2016 ◽  
Vol 33 (1) ◽  
pp. 216-222 ◽  
Author(s):  
Marina Zanne ◽  
Aleš Groznik
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Transport Infrastructure ◽  
Traffic Flows ◽  
Moving Vehicle ◽  
Public Road ◽  
Past Data ◽  
The Impact

Road traffic accident is an accident on a public road in which at least one moving vehicle has been involved and material damage or injury or death has occurred. Traffic accidents occur for various reasons, with one of them being the transport infrastructure and next the condition of traffic environment. Motorways are considered to be the safest roads, which have initially been planned as dedicated roads intended to be travelled only by personal cars, but the evolution of modal split of freight transport in Europe is causing the heterogeneity of traffic flows on these roads, which consequently affects the traffic safety. The aim of this paper is to explore the effects of changing volume and structure of traffic flows on road safety on Slovenian motorways. After the exhaustive analysis of past data, the paper provides different models for forecasting traffic safety on Slovenian motorways.

Adaptive Moving Vehicle Detection Algorithm Based on Hybrid Background Subtraction and Frame Difference

2014 ◽  
Vol 644-650 ◽  
pp. 930-933 ◽  
Author(s):  
Yan Li Luo ◽  
Han Lin Wan ◽  
Li Xia Xue ◽  
Qing Bin Gao
Keyword(s):  
Background Subtraction ◽  
Vehicle Detection ◽  
Detection Algorithm ◽  
Target Image ◽  
Moving Vehicle ◽  
Frame Difference ◽  
Video Frequency ◽  
Background Difference ◽  
Moving Vehicle Detection ◽  
Initial Target

This paper proposes an adaptive moving vehicle detection algorithm based on hybrid background subtraction and frame difference. The background image of continuous video frequency is reconstructed by calculating the maximun probability grayscale using grey histogram; Moving regions is gained by frame defference, the initial target image is obtained by background difference method,moving regions image and initial target image AND,XOR and OR operations to get the vehicle moving target images. Experimental results show that the algorithm can response timely to the actual scene changes and improve the quality of moving vehicle detection.

Sign in / Sign up

Export Citation Format

Share Document