scholarly journals Penghitungan Objek Berdasarkan Berdasarkan Jenis Kendaraan Bermotor pada CCTV Lalu Lintas Berbasis Pengolahan Citra Digital Menggunakan Metode Background Subtraction dan Blob Detection

2020 ◽  
Vol 2 (2) ◽  
pp. 92-99
Author(s):  
Andhika Putra Cahyono ◽  
Utomo Budiyanto
Keyword(s):  
Traffic Engineering ◽  
Moving Objects ◽  
Road Traffic ◽  
Confusion Matrix ◽  
Digital Processing ◽  
Detection Methods ◽  
The Road ◽  
Blob Detection ◽  
Vehicle Type ◽  
Traffic Conditions

In the road traffic space which is often encountered by passing traffic type of vehicle. To find out the traffic conditions that are needed to calculate vehicle traffic, such as using counting or recording CCTV video. This continues the long and long process that was completed on the error data and the slow pace of traffic engineering decisions. This method is difficult to do in full because of the limited number of counters. This can be done by involving digital processing and CCTV video to be able to classify and transfer vehicle type objects. There are several methods for sharing object imagery, such as SIFT, edge detection and Monte Carlo. This research tries to use the Background Substraction and Blob Detection methods because of its superiority in determining objects and backgrounds and being able to maintain moving objects as well as analyzing screen area calculations. The results of testing with this method obtained the MSE value at the threshold of 100 and 3x3 kernel filter with a pixel area of motorcycle 34-63 pixel-X, 67-155 pixel-Y and cars 73-200 pixel-X, 79-307 pixel-Y and bus / truck 130-128 pixel-X, 305-376 pixel-Y. On evaluation, use the confusion matrix obtained in the morning with an average total of 92% and at night with a total average of 73%. It can be concluded by using CCTV installation parameters and the method used can yields higher accuracy in the morning than at night with the weakness of compiling objects that can make it easier to make objects and test the night to obtain light from vehicle lights generated as vehicle objects the flight.

A hierarchical clustering of features approach for vehicle tracking in traffic environments

2016 ◽  
Vol 9 (4) ◽  
pp. 354-368 ◽  
Author(s):  
Anan Banharnsakun ◽  
Supannee Tanathong
Keyword(s):  
Hierarchical Clustering ◽  
Moving Objects ◽  
Vehicle Detection ◽  
Corner Detection ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Night Time ◽  
Content Type ◽  
Traffic Conditions ◽  
Detection And Tracking

Purpose Developing algorithms for automated detection and tracking of multiple objects is one challenge in the field of object tracking. Especially in a traffic video monitoring system, vehicle detection is an essential and challenging task. In the previous studies, many vehicle detection methods have been presented. These proposed approaches mostly used either motion information or characteristic information to detect vehicles. Although these methods are effective in detecting vehicles, their detection accuracy still needs to be improved. Moreover, the headlights and windshields, which are used as the vehicle features for detection in these methods, are easily obscured in some traffic conditions. The paper aims to discuss these issues. Design/methodology/approach First, each frame will be captured from a video sequence and then the background subtraction is performed by using the Mixture-of-Gaussians background model. Next, the Shi-Tomasi corner detection method is employed to extract the feature points from objects of interest in each foreground scene and the hierarchical clustering approach is then applied to cluster and form them into feature blocks. These feature blocks will be used to track the moving objects frame by frame. Findings Using the proposed method, it is possible to detect the vehicles in both day-time and night-time scenarios with a 95 percent accuracy rate and can cope with irrelevant movement (waving trees), which has to be deemed as background. In addition, the proposed method is able to deal with different vehicle shapes such as cars, vans, and motorcycles. Originality/value This paper presents a hierarchical clustering of features approach for multiple vehicles tracking in traffic environments to improve the capability of detection and tracking in case that the vehicle features are obscured in some traffic conditions.

scholarly journals Investigating the Impacts of Road Traffic Conditions and Driver’s Characteristics on Automated Vehicle Takeover Time and Quality Using a Driving Simulator

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jaehyun Jason So ◽  
Sungho Park ◽  
Jonghwa Kim ◽  
Jejin Park ◽  
Ilsoo Yun
Keyword(s):  
Driving Simulator ◽  
Road Traffic ◽  
Vehicle Control ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Automated Vehicle ◽  
The Road ◽  
Traffic Conditions ◽  
Vehicle System ◽  
Driver’S Characteristics

This study investigates the impacts of road traffic conditions and driver’s characteristics on the takeover time in automated vehicles using a driving simulator. Automated vehicles are barely expected to maintain their fully automated driving capability at all times based on the current technologies, and the automated vehicle system transfers the vehicle control to a driver when the system can no longer be automatically operated. The takeover time is the duration from when the driver requested the vehicle control transition from the automated vehicle system to when the driver takes full control of the vehicle. This study assumes that the takeover time can vary according to the driver’s characteristics and the road traffic conditions; the assessment is undertaken with various participants having different characteristics in various traffic volume conditions and road geometry conditions. To this end, 25 km of the northbound road section between Osan Interchange and Dongtan Junction on Gyeongbu Expressway in Korea is modeled in the driving simulator; the experiment participants are asked to drive the vehicle and take a response following a certain triggering event in the virtual driving environment. The results showed that the level of service and road curvature do not affect the takeover time itself, but they significantly affect the stabilization time, that is, a duration for a driver to become stable and recover to a normal state. Furthermore, age affected the takeover time, indicating that aged drivers are likely to slowly respond to a certain takeover situation, compared to the younger drivers. With these findings, this study emphasizes the importance of having effective countermeasures and driver interface to monitor drivers in the automated vehicle system; therefore, an early and effective alarm system to alert drivers for the vehicle takeover can secure enough time for stable recovery to manual driving and ultimately to achieve safety during the takeover.

scholarly journals Image processing based eye detection methods a theoretical review

2020 ◽  
Vol 9 (3) ◽  
pp. 1189-1197
Author(s):  
B. Vijayalaxmi ◽  
Chavali Anuradha ◽  
Kaushik Sekaran ◽  
Maytham N. Meqdad ◽  
Seifedine Kadry
Keyword(s):  
Image Processing ◽  
Research Paper ◽  
The Body ◽  
Detection Methods ◽  
Road Accidents ◽  
Eye Detection ◽  
The Road ◽  
Vehicle Type ◽  
The Face

Lately, many of the road accidents have been attributed to the driver stupor. Statistics revealed that about 32% of the drivers who met with such accidents demonstrated the symptoms of tiredness before the mishap though at varying levels. The purpose of this research paper is to revisit the various interventions that have been devised to provide for assistance to the vehicle users to avert unwarranted contingencies on the roads. The paper tries to make a sincere attempt to encapsulate the body of work that has been initiated so far in this direction. As is evident, there are numerous ways in which one can identify the fatigue of the driver, namely biotic or physiological gauges, vehicle type and more importantly the analysis of the face in terms of its alignment and other attributes.

scholarly journals EVALUASI KEBUTUHAN RAMBU LALU LINTAS PADA RUAS JALAN PERBATASAN ANTARA KABUPATEN BANTUL-GADING DI GUNUNGKIDUL, YOGYAKARTA

2017 ◽  
Vol 18 (1) ◽  
pp. 1
Author(s):  
Setio Boedi Arianto ◽  
Dwi Heriwibowo
Keyword(s):  
Traffic Engineering ◽  
Road Traffic ◽  
Warning Signs ◽  
Border Crossing ◽  
Qualitative And Quantitative Analysis ◽  
Traffic Signs ◽  
Qualitative And Quantitative ◽  
The Road ◽  
On The Road ◽  
Monitoring Devices

ABSTRACTThe purpose of this research is to find out the number of road traffic facilities requirement as monitoring devices toward the implementation of management and traffic engineering in order to support safety road. The analytical method used are Descriptive Qualitative and Quantitative analysis. The conclusions of this study are the characteristics of road geometric in Gunungkidul Regency on the road border crossing between Bantul Regency and Gading Regency mostly are uphill and downhill road combined with curves roadside segmented which are indicates accidents-prone areas. Therefore it is required some of traffic signs for this segment about 128 units which are consisting of order signs 2 units, instruction signs 13 units, warning signs 108 units, and prohibition signs 5 units. Currently the number of traffic signs installed are 76 units consisting of order signs 2 units, signs instruction 4 units, warning signs 67 units, and prohibition signs 3 units, for this there are a shortage of traffic signs for 52 units consisting of signs instruction 9 units, warning signs 41 units, and prohibition signs 2 units.ABSTRAKTujuan melakukan penelitian adalah untuk mengetahui jumlah kebutuhan perlengkapan jalan sebagai alat pengawasan terhadap pelaksanaan manajemen dan rekayasa lalu lintas dalam rangka keselamatan jalan. Metode analisis yang digunakan adalah analisis deskriptif kualitatif dan kuantitatif. Kesimpulan dari penelitian ini adalah kondisi geometri jalan di Kabupaten Gunungkidul pada ruas jalan batas Kabupaten Bantul-Gading, yaitu berupa tanjakan dan turunan serta tikungan tajam dan segmen jalan ini merupakan daerah rawan kecelakaan. Karenanya dibutuhkan rambu-rambu lalu lintas pada segmen jalan ini sebanyak 128 unit terdiri atas rambu perintah 2 unit, rambu petunjuk 13 unit, rambu peringatan 108 unit, dan rambu larangan 5 unit. Untuk saat ini jumlah rambu lalu lintas terpasang adalah 76 unit yang terdiri atas rambu perintah 2 unit, rambu petunjuk 4 unit, rambu peringatan 67 unit, dan rambu larangan 3 unit, sehingga terdapat kekurangan jumlah rambu 52 unit yang terdiri atas rambu petunjuk 9 unit, rambu peringatan 41 unit, dan rambu larangan 2 unit.

Study on Photometric Performance Attenuation Law of Retroreflective Materials for Road Traffic

2012 ◽  
Vol 490-495 ◽  
pp. 3568-3573
Author(s):  
Dan Li ◽  
Chuan Jiao Sun ◽  
Wen Ying Su ◽  
Xuan Wang ◽  
Wei Wang
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Traffic Engineering ◽  
Prediction Models ◽  
Road Traffic ◽  
The Road ◽  
Attenuation Law ◽  
Basic Work ◽  
Different Types ◽  
Testing And Evaluation

The testing and evaluation of the retroreflective materials are the basic work of the road traffic engineering quality. In this paper, artificial neural networks are used to make the study on the photometric performance attenuation law of retroreflection materials. Through the establishment of photometric prediction models to forecast reflection coefficient of the different types of retroreflective sheeting, compared with the testing values, the results showed that photometric performance attenuation law can predict the coefficient of retroreflection of retroreflective sheeting. This conclusion is important for the application of retroreflective materials.

Study on Satisfaction Evaluation of Urban Road Traffic Conditions

2013 ◽  
Vol 361-363 ◽  
pp. 2344-2348
Author(s):  
Jing Fei Yu ◽  
Li Dong Wang ◽  
Nan Nan Wang ◽  
Xin Jie Zhang
Keyword(s):  
Road Traffic ◽  
Common Factors ◽  
Weighting Factor ◽  
Actual Situation ◽  
Urban Road ◽  
The Road ◽  
Traffic Conditions ◽  
Road Section ◽  
Four Levels ◽  
Satisfaction Evaluation

From the basic feelings of urban road use, the paper selects 15 indicators to factor analysis for satisfaction of urban road use; those indicators are attributed to the four common factors, final the scores of integrated weighting factor is taken variable to cluster analysis. The results showed that the satisfaction of 13 road sections that was selected can be divides into four levels. By comparison, the results of analysis are more in line with the actual situation of the road section, therefore the results can provide a basis to enhance and improve road conditions for the relevant personnel.

scholarly journals Emissions from the Road Traffic of West Africa’s Cities: Assessment of Vehicle Fleet and Fuel Consumption

2018 ◽  
Author(s):  
Madina Doumbia ◽  
N’Datchoh E. Toure ◽  
Siélé Silue ◽  
Véronique Yoboue ◽  
Arona Diedhiou ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Road Traffic ◽  
Anthropogenic Activities ◽  
West African ◽  
Policy Makers ◽  
African Cities ◽  
The Road ◽  
Vehicle Type ◽  
Climate And Health ◽  
Local Characterization

Traffic source emissions inventories for the rapidly growing West African urban cities are necessary for better local characterization of vehicle emissions released into these cities atmosphere. This study based on local field campaign in a representative site of anthropogenic activities over West African cities such as Yopougon (Abidjan, Côte d'Ivoire) during 2016, provided useful information on vehicle type and age, traveling time, fuel type and amount for fuel consumption estimation. Also, high traffic flow of personal car were recorded on highway, boulevard and backstreet whereas high flows of intra-communal sedan taxi are recorded on main and secondary roads. In addition, the highest daily fuel consumption value of 56 L.day-1 was recorded in heavy vehicle while the lowest value of 15 L.day-1 is recorded for personal car using gasoline. This study will be useful for the improvement of uncertainties related to the different databases used to estimate inventories emissions either national or international reports.   This work provides useful information for future studies on urban air quality, climate and health impacts assessment in African cities. It may also be useful for policy makers to support implementation of emission reduction policy in West African cities.

scholarly journals Considerations on the role of modernizing the road infrastructure in the prevention of road accidents

2019 ◽  
Vol 290 ◽  
pp. 06004
Author(s):  
Cristian Deac ◽  
Lucian Tarnu
Keyword(s):  
Road Safety ◽  
Road Network ◽  
Road Traffic ◽  
Road Accidents ◽  
Road Infrastructure ◽  
The Road ◽  
Traffic Conditions ◽  
Pedestrian Crossing

The realizing and improvement of road infrastructure, of modern road networks provides normal, safe and pleasant road traffic conditions and also help prevent road accidents. The road network, with its constructive characteristics, has to offer optimal conditions for the movement of vehicles, pedestrians and other categories of participants in the road traffic. Starting from the case study of a road sector with heavy road traffic, the current paper analyzes the increase in road safety in Romanian localities along European and national roads through the implementation of specific measures such as setting up sidewalks, installing New Jersey median barriers, expanding the road sectors with 2+1 lanes, replacing normal pedestrian crossings with elevated crossings or with pedestrian crossing with mid-road waiting areas etc.

scholarly journals Analysis of the evolution of pollution indicators in a crossroads area of Sibiu, Romania

2018 ◽  
Vol 178 ◽  
pp. 09013
Author(s):  
Lucian Tarnu ◽  
Alina Gligor ◽  
Cristian Deac
Keyword(s):  
Carbon Monoxide ◽  
Road Traffic ◽  
Noise Pollution ◽  
Pollution Indicators ◽  
The Road ◽  
Pollution Levels ◽  
Traffic Conditions ◽  
The Past ◽  
Data Comparison ◽  
The City

Starting from a new study on carbon monoxide and noise pollution levels in an important crossroads area of the city of Sibiu, Romania, the current paper uses the data to compare with data obtained during past studies carried out on the same area, allowing an assessment of the evolution of the two pollution indicators over time. The recent study, carried out over a two-week period in November 2017 both during the peak morning hours and at midday, combined a video-based vehicle count with measurements of the carbon monoxide and of the noise level, respectively. The data comparison reveals not only a worsening of the pollution levels in the centre of Sibiu over the past few years and should allow the determining of the best methods and means for reducing the level of the pollutants, possibly in correlation with the improvement of the road traffic conditions.

Research on Freeway Traffic Safety Index Based on Toll Data

2013 ◽  
Vol 411-414 ◽  
pp. 2710-2714
Author(s):  
Xin Sun ◽  
Chang Cheng Li ◽  
Zhi Zhang ◽  
Jian Dong Zhao
Keyword(s):  
Traffic Safety ◽  
Public Transportation ◽  
Traffic Control ◽  
Traffic Engineering ◽  
Safety Management ◽  
Road Traffic ◽  
Safety Index ◽  
Freeway Traffic ◽  
The Road ◽  
Safety Operation

Because the current research on traffic level has not yet been achieved classification, it cannot timely and effectively provide the basis for the public transportation and safety management of the traffic control department. Introduce traffic safety index based on toll data to evaluate freeway traffic levels. Firstly, combined with the relevant indicators of traffic engineering, put forward the concept of freeway traffic safety index; secondly, calculate the traffic safety index by analyzing real-time toll data; finally, in order to improve the accuracy of evaluation, have an optimization of traffic safety index definition. Application on the Beijing-Hong Kong-Macao freeway shows that traffic safety index can be combined with monitoring data to evaluate the condition of road sections and the road network, and its historical data can be used to predict the road traffic conditions, and provide effective guidance for freeway traffic safety operation.

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