scholarly journals Software Design for Adaptive Laser Headlights

2021 ◽  
Vol 9 (11) ◽  
pp. 581-588
Author(s):  
Manas Metar
Keyword(s):  
Human Factors ◽  
Software Design ◽  
Major Part ◽  
Road Traffic ◽  
Steering Angle ◽  
Fatal Accidents ◽  
The Road ◽  
Disproportionate Number ◽  
Adaptive Laser

Abstract: The road traffic collisions and injuries, is still a major concern in automotive field. A disproportionate number of fatal accidents happen at nighttime. The major part of the collision is contributed by the human factors. Yet the technology in automobile is continuously assisting drivers while driving. Driving in the dark is not always easy as roads aren’t always illuminated, in such cases a powerful headlight is needed to illuminate most of the road. But such headlights cause glare to the oncoming traffic and again the chances of collision increase, with risking lives of passengers. Therefore, a need of smart headlamps which can illuminate the road far ahead without glaring the oncoming traffic is generated. This research aims to build a Laser based adaptive headlight system which can fulfil the need. The headlight design is proposed using Tinkercad software in which Arduino circuit has been used and software design is presented. The system works well with responding to the steering angle and controls the intensity of light preventing oncoming traffic from getting glared. Keywords: Adaptive headlight system, laser headlights, Arduino, Arduino software design, design of headlight system, cornering lights, effects of laser headlights, Tinkercad

scholarly journals A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4313 ◽  
Author(s):  
Xunjia Zheng ◽  
Di Zhang ◽  
Hongbo Gao ◽  
Zhiguo Zhao ◽  
Heye Huang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Road Traffic ◽  
Research Effort ◽  
Assessment Method ◽  
Intelligent Vehicles ◽  
Steering Angle ◽  
The Road ◽  
Risk Assessment Method ◽  
Significant Research ◽  
Assessment Strategies

Over the past decades, there has been significant research effort dedicated to the development of intelligent vehicles and V2X systems. This paper proposes a road traffic risk assessment method for road traffic accident prevention of intelligent vehicles. This method is based on HMM (Hidden Markov Model) and is applied to the prediction of steering angle status to (1) evaluate the probabilities of the steering angle in each independent interval and (2) calculate the road traffic risk in different analysis regions. According to the model, the road traffic risk is quantified and presented directly in a visual form by the time-varying risk map, to ensure the accuracy of assessment and prediction. Experiment results are presented, and the results show the effectiveness of the assessment strategies.

Evaluation and Analysis of Factors Affecting Road Traffic Accidents in Tripoli-Libya

2018 ◽  
Vol 38 ◽  
pp. 124-132
Author(s):  
Faris Ahmed Abdulfatah Elturki ◽  
Shaban Ismael Albrka Ali
Keyword(s):  
Environmental Factors ◽  
Human Factors ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Influential Factor ◽  
Road Traffic Accidents ◽  
Permanent Disability ◽  
High Exposure ◽  
Transportation Demand ◽  
The Road

Incessant of transportation demand growth in developing countries in latest years has led to several traffic issues in city areas, among the most challenging ones are vehicular emission, traffic congestion, and accidents. The growth of transportation demand has great influences, and very unfortunate impact on the society regarding crashes, death, and injuries from road accidents have reached epidemic proportions worldwide. The variation increased in speeds and vehicle density resulted in high exposure to accidents which lead loss of life and permanent disability, injury, and damage to property. This paper classified and investigate the most critical factors affect road traffic accidents (RTAs) in Tripoli the capital city of Libya. Four main categories were chosen to build the questionnaire, namely; human factors, road factors, vehicle factors and environmental factors. Moreover, a quantitative method was used to collect the data from the field, 400 respondents include; drivers, pedestrian and passengers were the sample size of the questionnaire and relative importance index (RII) were used for classification of one group and among all groups. The results show that more than 84%of respondents considered the over speeding as the most significant factor cusses of RTAs among all groups, while 81% considered the disobedience to driving code such as children who are playing with the car on the road as the most influential factor in human factors group. Also, nearly 74% of respondents seeing that poor brakes or brake failure factor has a high and considerable impact on the RTAs among the vehicle factors. Regarding the road factors group, 79% of the respondents ranked poor or no street lighting factor as one of the most effective factors on RTAs in road factors and third effecting factor concerning all factors, on the other hand, the environmental factors have the slights impacts compared with other factors.

scholarly journals Human factors contributing to the road traffic accident occurrence

2020 ◽  
Vol 45 ◽  
pp. 555-561 ◽  
Author(s):  
Kateřina Bucsuházy ◽  
Eva Matuchová ◽  
Robert Zůvala ◽  
Pavlína Moravcová ◽  
Martina Kostíková ◽  
...  
Keyword(s):  
Human Factors ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
The Road

Remote Management Software Design for Urban Road Traffic Equipment Based on Android Mobile Terminal

2014 ◽  
Vol 513-517 ◽  
pp. 518-521
Author(s):  
Jin Jin Zhang ◽  
Jie Zhang ◽  
Bao Xun Liu ◽  
Jian Min Li
Keyword(s):  
Software Design ◽  
Road Traffic ◽  
Mobile Terminal ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Equipment Management ◽  
Management Software ◽  
The Road ◽  
Remote Management ◽  
Implementation Scheme

Beginning with the signal remote monitoring system's function structure, development process function design and so on , this paper described the remote management software design and implementation scheme of the road traffic equipment based on the Android mobile terminal. This software can realize the remote control of the traffic signal lights, condition monitoring and signal equipment management and fault alarm to remind function, reduce the maintenance management difficulty of traffic signal control equipment, and have a good application prospect.

scholarly journals Research on Road Traffic Fatal Accidents using Data Mining Techniques

2019 ◽  
Vol 8 (9S2) ◽  
pp. 757-760
Keyword(s):  
Data Mining ◽  
Road Safety ◽  
Prior Information ◽  
Road Traffic ◽  
Clustering Algorithms ◽  
Predictive Analysis ◽  
Apriori Algorithm ◽  
Fatal Accidents ◽  
The Road ◽  
Using Data

Road safety plays a major role in our day-to-day life and also transportation system, due to its priority, it has become the major concern for everyone. In order to increase the road safety, traffic rules are included in education, clear and careful predictive analysis and study is done on factors effecting fatal accidents. We apply predictive analysis, statistical analysis and some algorithms related to data mining which includes FARS such as Apriori algorithm, associative rule techniques are used. These methods help in encountering the road fatal accidents that cause due to mentioned factors. These factors may include climatic and surface conditions and also drunken drivers or may be condition of vehicles also. Clusters are formed using simple k-means clustering algorithms. Finally road safety driving rules are made based on the factors effecting, clusters formed and predictive analysis and prior information.

scholarly journals Road Traffic Accident in Malaysia: Trends, Selected Underlying, Determinants and Status Intervention

2018 ◽  
Vol 7 (4.34) ◽  
pp. 112
Author(s):  
Mohd Khairul Amri Kamarudin ◽  
Noorjima Abd Wahab ◽  
Roslan Umar ◽  
Ahmad Shakir Mohd Saudi ◽  
Muhammad Hafiz Md Saad ◽  
...  
Keyword(s):  
Quantitative Methods ◽  
Road Traffic ◽  
Physical Structure ◽  
The State ◽  
Road Accidents ◽  
Accident Rate ◽  
Fatal Accidents ◽  
Factors Affecting ◽  
The Road ◽  
The World

This paper includes review of the trends, selected underlying, determinants and status intervention. The 1.17 million of deaths occur each year worldwide due to road accidents 70 % of which occur in developing countries in the world. 65% of deaths involve pedestrian’s causes, 35 % of which are children. Estimates suggest that 23–34 million people are injured worldwide every year in road crashes. Fatal accidents are among the major factors of death in the world apart from chronic diseases such as stroke, lung infections, respiratory difficulties and heart disease. The rise in fatal accidents in Malaysia is 70%. This study was conducted to study the rate of fatal accidents on roads in the state of Selangor and Perlis based on fatal accident data for a period of five years from 2013 to 2017. The data were analyzed using quantitative methods which took into account the research conducted by researchers last. Based on analyzed data, the state of Selangor recorded the highest accident rate while Perlis state recorded the lowest accident rate. Among other things being studied are factors affecting the rate of road accidents in both states. In conclusion, the traffic, the physical structure of the road and the road users' focus is a factor of road accidents more concentrated in a particular area.  

A Groundwork Based Novel Routing Protocol for Vehicular Ad hoc Networks

2017 ◽  
Vol 7 (11) ◽  
pp. 121
Author(s):  
Amolkirat Singh ◽  
Guneet Saini
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Traditional Approach ◽  
Unexpected Events ◽  
The Road ◽  
On The Road

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.

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