scholarly journals Assessing Significant Factors Affecting Risky Riding Behaviors of Motorcyclists

2020 ◽  
Vol 10 (18) ◽  
pp. 6608
Author(s):  
Wins Cott Goh ◽  
Lee Vien Leong ◽  
Richard Jun Xian Cheah
Keyword(s):  
Positive Affect ◽  
Latent Variables ◽  
Traffic Accidents ◽  
Negative Relationship ◽  
Positive Outcome ◽  
Factors Affecting ◽  
The Road ◽  
Maximum Variance ◽  
Hypothesis Model ◽  
On The Road

This study was conducted in Malaysia, where motorcycle traffic accidents represent a high percentage of fatality among overall traffic accidents. Studies have shown that risk perception and positive outcome of risky riding behavior have a significant impact on a rider’s decision making. Therefore, this study is targeted at further understanding of Malaysian motorcyclists within the locality of their home country. A questionnaire survey was conducted to gather motorcycle rider’s information, together with their perception of the three factors mentioned above. A reliability test of the findings was analyzed using Cronbach’s Alpha, while a PCA analysis was conducted to determine the linear combinations that have maximum variance. Subsequently, a statistical model was constructed based on the latent variables’ relations, the relation between the latent variables and observed variables, and also the hypothesis model. The model confirms that the positive affect of the risky behavior has a significant positive relationship with motorcyclists’ risk behavior (estimate coefficient = 1.016). Findings in the model also show that older motorcyclists are less likely to take part in risky riding behavior while riding on the road, with an estimate coefficient of −0.037 and a negative relationship with positive affect (estimate coefficient = −0.032).

scholarly journals The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yau-Ren Shiau ◽  
Ching-Hsing Tsai ◽  
Yung-Hsiang Hung ◽  
Yu-Ting Kuo
Keyword(s):  
Traffic Engineering ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Principal Component ◽  
Recursive Feature Elimination ◽  
Road Traffic Accidents ◽  
Factors Affecting ◽  
The Road ◽  
On The Road ◽  
Central Taiwan

With the ever-increasing number of vehicles on the road, traffic accidents have also increased, resulting in the loss of lives and properties, as well as immeasurable social costs. The environment, time, and region influence the occurrence of traffic accidents. The life and property loss is expected to be reduced by improving traffic engineering, education, and administration of law and advocacy. This study observed 2,471 traffic accidents which occurred in central Taiwan from January to December 2011 and used the Recursive Feature Elimination (RFE) of Feature Selection to screen the important factors affecting traffic accidents. It then established models to analyze traffic accidents with various methods, such as Fuzzy Robust Principal Component Analysis (FRPCA), Backpropagation Neural Network (BPNN), and Logistic Regression (LR). The proposed model aims to probe into the environments of traffic accidents, as well as the relationships between the variables of road designs, rule-violation items, and accident types. The results showed that the accuracy rate of classifiers FRPCA-BPNN (85.89%) and FRPCA-LR (85.14%) combined with FRPCA is higher than that of BPNN (84.37%) and LR (85.06%) by 1.52% and 0.08%, respectively. Moreover, the performance of FRPCA-BPNN and FRPCA-LR combined with FRPCA in classification prediction is better than that of BPNN and LR.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

Analysis of Driver's Characteristics Based on Internet of Vehicles

2014 ◽  
Vol 505-506 ◽  
pp. 1148-1152
Author(s):  
Jian Qun Wang ◽  
Xiao Qing Xue ◽  
Ning Cao
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Classification Model ◽  
Economic Losses ◽  
Lane Changing ◽  
Internet Of Vehicles ◽  
Factors Affecting ◽  
The Road ◽  
The University ◽  
Driver’S Characteristics

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

Real-Time V2V Communication With a Machine Learning-Based System for Detecting Drowsiness of Drivers

2021 ◽  
Vol 13 (4) ◽  
pp. 35-50
Author(s):  
Ahmed Y. Awad ◽  
Seshadri Mohan
Keyword(s):  
Machine Learning ◽  
Traffic Accidents ◽  
Ad Hoc ◽  
Economic Losses ◽  
Drowsy Driving ◽  
The Road ◽  
V2v Communication ◽  
Physical Injuries ◽  
On The Road ◽  
The U.S

This article applies machine learning to detect whether a driver is drowsy and alert the driver. The drowsiness of a driver can lead to accidents resulting in severe physical injuries, including deaths, and significant economic losses. Driver fatigue resulting from sleep deprivation causes major accidents on today's roads. In 2010, nearly 24 million vehicles were involved in traffic accidents in the U.S., which resulted in more than 33,000 deaths and over 3.9 million injuries, according to the U.S. NHTSA. A significant percentage of traffic accidents can be attributed to drowsy driving. It is therefore imperative that an efficient technique is designed and implemented to detect drowsiness as soon as the driver feels drowsy and to alert and wake up the driver and thereby preventing accidents. The authors apply machine learning to detect eye closures along with yawning of a driver to optimize the system. This paper also implements DSRC to connect vehicles and create an ad hoc vehicular network on the road. When the system detects that a driver is drowsy, drivers of other nearby vehicles are alerted.

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.

Vehicle Detection and Tracking in Complex Traffic Circumstances with Roadside LiDAR

2019 ◽  
Vol 2673 (9) ◽  
pp. 62-71 ◽  
Author(s):  
Zhenyao Zhang ◽  
Jianying Zheng ◽  
Hao Xu ◽  
Xiang Wang
Keyword(s):  
High Resolution ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Vehicle Detection ◽  
Traffic Data ◽  
The Road ◽  
Detection And Tracking ◽  
Area Of Interest ◽  
Vehicle Detection And Tracking ◽  
On The Road

The problem of traffic safety has become increasingly prominent owing to the increase in the number of cars. Traffic accidents often occur in an instant, which makes it necessary to obtain traffic data with high resolution. High-resolution micro traffic data (HRMTD) indicates that the spatial resolution reaches the centimeter level and that the temporal resolution reaches the millisecond level. The position, direction, speed, and acceleration of objects on the road can be extracted with HRMTD. In this paper, a LiDAR sensor was installed at the roadside for data collection. An adjacent-frame fusion method for vehicle detection and tracking in complex traffic circumstances is presented. Compared with the previous research, objects can be detected and tracked without object model extraction or a bounding box description. In addition, problems caused by occlusion can be improved using adjacent frames fusion in the vehicle detection and tracking algorithms in this paper. The data processing procedure are as follows: selection of area of interest, ground point removal, vehicle clustering, and vehicle tracking. The algorithm has been tested at different sites (in Reno and Suzhou), and the results demonstrate that the algorithm can perform well in both simple and complex application scenarios.

scholarly journals Performance Degradation Analysis of c-Si PV Modules Mounted on a Concrete Slab under Hot-Humid Conditions Using Electroluminescence Scanning Technique for Potential Utilization in Future Solar Roadways

Materials ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4047 ◽  
Author(s):  
Firoz Khan ◽  
Jae Hyun Kim
Keyword(s):  
Stress Testing ◽  
Concrete Slab ◽  
Factors Affecting ◽  
The Road ◽  
Scanning Technique ◽  
Testing Chamber ◽  
Pv Modules ◽  
Temperature And Humidity ◽  
On The Road ◽  
Major Factors

The stability of the photovoltaic (PV) modules is critical when deployed in a non-ideal environment. Among the different factors, temperature and humidity are the two major factors affecting PV stability, making them significant causes of its degradation in terms of optoelectric and materials properties. Nowadays, with the increase in PV installation (here, we are only taking account of c-Si-based PV modules) to generate green electricity, effective space utilization is an important issue. Recently, people have been considering deploying PV modules on the road to utilize the space available on highways (roadways). This raises several new issues in the deployment of PV modules. However, issues related to temperature and humidity retain the same importance. Normally, these stability tests are performed in a damp-heat (DH) stress-testing chamber in an accelerated condition at 85 °C and 85% relative humidity (RH). In this work, c-Si PV modules were fixed over a concrete slab to prepare a PV interacted block, which can be used to build concrete-based roads. The performance of this PV on the concrete slab was tested in a DH stress-testing chamber in an accelerated condition at 85 °C and 85% RH for 4000 h. For the comparison, a PV module without concrete was also evaluated. The degradation of the PV modules was characterized using the electroluminescence scanning technique. After 2500 h of exposure to the DH conditions, the performance retention of the PV modules mounted on the concrete was 93.2%, which was nearly 5% higher than the module without the concrete slab.

scholarly journals Impact 0f Prosecution Against Infringement Ticketing with Numbers Traffic Accidents in The Jurisdiction of Police Resort Semarang

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Rudi Hendri Basuki ◽  
Umar Ma�ruf
Keyword(s):  
Government Regulation ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Traffic Enforcement ◽  
Accident Rate ◽  
The Road ◽  
Vehicle Inspection ◽  
Traffic Violations ◽  
On The Road ◽  
The Impact

This study aims to determine how is the implementation of the action by infringing traffic by a speeding ticket in the jurisdiction of Police in Semarang; How can the impact of infringing on a traffic enforcement with a ticket to the number of traffic accidents in the jurisdiction of Police in Semarang; and What constraints in action by infringing traffic by a speeding ticket in the jurisdiction of Semarang Police and how the solutions to overcome them.The method used by the author in this study is juridical empirical or sociological jurisdiction. Specifications of research used is descriptive analyticalBased on research conducted can be concluded that 1) Implementation of Traffic Violations Enforcement accordance with Government Regulation on Infringement Ticketing Act No. 80 Of 2012 on Procedures for� Vehicle Inspection and Enforcement Violations On the Road Traffic and Transportation Article 3, which reads� Vehicle Inspection; 2) The results in January to September 2018 is known that the impact of a speeding ticket to a very significant definitely one transport accident means the higher the number the lower the accident rate speeding ticket, speeding ticket conversely the lower the number the higher the number of accidents; and 3) Constraints in the prosecution of traffic violations by a speeding ticket in the jurisdiction of Semarang Police isThe lack of legal awareness in the society, lack of ability by the Police Authority problematic legislation, the lack of infrastructure to supportKeywords: Impact; Infringement; Traffic; Infringement Ticketing; Accident.

scholarly journals Overview of approaches to driver fatigue recognition and existing technical solutions

2020 ◽  
Vol 1 (3) ◽  
pp. 48-58
Author(s):  
Ya.D. Saprykin ◽  
◽  
V.I. Ryazantsev ◽  
A.A. Smirnov ◽  
◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Physiological State ◽  
Steering Wheel ◽  
Driver Fatigue ◽  
The Road ◽  
Advantages And Disadvantages ◽  
Falling Asleep ◽  
On The Road ◽  
Technical Solutions

The article analyzes the existing methods for determining the driver's condition. Driving in a state of fatigue, according to various statistics, is the cause of a large number of road traffic accidents (RTA). The percentage of accidents in Russia associated with the driver falling asleep while driving in 2018 is about 20%, in the USA the number of accidents for the same reason reaches 100,000 per year. The aim of the work is to review existing approaches to recognizing driver fatigue and existing technical solutions in this area. The article discusses such approaches as fatigue recognition based on the physiological state of the driver, recognition based on the driver's behavior, namely his speech and visual signs while driving, fatigue determination based on the nature of the vehicle's movement on the road and based on the driver's actions on the controls, the approaches based on the subjective assessment of the driver's condition. The advantages and disadvantages of each of the approaches were analyzed. The paper also provides an overview of existing fatigue recognition systems from various manufacturers that are currently used on vehicles and are designed to warn the driver of impending fatigue. It was revealed that in modern conditions of road transport operation, the most optimal approaches to fatigue recognition are based on an assessment of the driver's impact on the steering wheel, visual signs of driver fatigue and the nature of the vehicle's movement on the road, therefore, it is proposed to further focus on these methods.

scholarly journals Analysis factors affecting formation on the clutch durability between asphalt-concrete layers of road clothing

2021 ◽  
pp. 26-31
Author(s):  
Liydmyla Levkivska ◽  
◽  
Jafar Musa Elallak
Keyword(s):  
Asphalt Concrete ◽  
Complex Analysis ◽  
Physical And Mechanical Properties ◽  
Difficult Situation ◽  
Factors Affecting ◽  
Operational Conditions ◽  
The Road ◽  
Number Of Factors ◽  
Literary Sources ◽  
On The Road

This article reflects the importance of the road network for the social development of society and the development of the economy of the country as a whole. On the basis of literary sources provides complex analysis of roads in Ukraine, their current functional state and tendencies of development. It is established that the road industry is in a rather difficult situation due to unsatisfactory transport and operational conditions of the vast majority of Ukrainian roads. Construction of new roads is extremely rare because of lack of financial resources. Road works are usually carried out to preserve the network of already existing roads and to ensure their necessary transport and operational status. According to the results of the analysis, one of the main reasons for the premature destruction of newly constructed or repaired non-rigid pavements is the low strength of interlayer adhesion in the contact area of the newly covered material with the layer below. The effect of clutch durability between asphalt layers on the road strength has been studied in detail. A number of factors that affect the quality of clutch durability between layers are analyzed. It is established that in order to ensure the strength of grafting between asphalt concrete layers of road clothing, it is necessary to strictly observe the technological regimes of their laying, above all temperature; to take into account the physical and mechanical properties of materials at the construction stage and the influence of climatic and mechanical factors, or most often their complex effect on the operation of the highway.

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