scholarly journals Automobile Collision Detection and Avoidance System

Maintaining road safety and safe driving are the challenges faced by the driver. To support the drive, there are on board safety systems mounted in the vehicles. However, these systems display visual messages that distract the driver’s attention from the road. There is a need for a system that can indicate the situations by keeping the attention of the driver on road. This paper is a proposal of a method that can be used to assist the drives while driving by generating the audio output based on the situation. According to research, driver assistance system is a solution for minimizing the time and frequency of drivers moving their eyes off traffic. Different approaches to assist the driver are discussed in this paper along with the challenges involved in executing them. The implementation is carried out using Arduino board and other hardware. The method is tested on samples to generate an audible sound that can be used by the drive to take suitable decision, by keeping eye on the road. This minimizes the need for the driver to look around while driving

2019 ◽  
Vol 2 (4) ◽  
pp. 253-262
Author(s):  
Sai Charan Addanki ◽  

One of the key aspects of Advanced Driver Assistance Systems (ADAS) is ensuring the safety of the driver by maintaining a safe drivable speed. Overspeeding is one of the critical factors for accidents and vehicle rollovers, especially at road turns. This article aims to propose a driver assistance system for safe driving on Indian roads. In this regard, a camera-based classification of the road type combined with the road curvature estimation helps the driver to maintain a safe drivable speed primarily at road curves. Three Deep Convolutional Neural Network (CNN) models viz. Inception-v3, ResNet-50, and VGG-16 are being used for the task of road type classification. In this regard, the models are validated using a self-created dataset of Indian roads and an optimal performance of 83.2% correct classification is observed. For the calculation of road curvature, a lane tracking algorithm is used to estimate the curve radius of a structured road. The road type classification and the estimated road curvature values are given as inputs to a simulation-based model, CARSIM (vehicle road simulator to estimate the drivable speed). The recommended speed is then compared and analyzed with the actual speeds obtained from subjective tests.


2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Jong-Chih Chien ◽  
Jiann-Der Lee ◽  
Li-Chang Liu

A vision-based driver assistance system using fuzzy rules to determine whether warnings are necessary is presented. This system is comprised of four cameras, one of which focuses on the driver for estimating the driver’s viewing angle, another focuses on the road ahead for the detection of road condition ahead, and the last two cameras are on both sides of the vehicle, facing backward, for the purpose of determining whether neighboring lanes are occupied by vehicles hidden in the blind-spots. The system uses fuzzy-rules for the analysis of interactions between the driver’s gaze, whether there are vehicles ahead, and in the neighboring lanes to determine whether the current driving condition should be of concern to the driver and issues one of three levels of warnings, from safe to dangerous.


2021 ◽  
Vol 2061 (1) ◽  
pp. 012128
Author(s):  
A I Markovnina ◽  
N D Tsyganov ◽  
A V Papunin ◽  
V S Makarov ◽  
V V Belyakov

Abstract The problem of ensuring road safety affects all elements of the Driver-Car-Road-Environment system. Smart cars equipped with enough traffic assistants can significantly improve road safety. Active vehicle safety systems, including intelligent driver assistance systems and assistants, perform similar road safety functions. With all the variety of possibilities for equipping cars with systems complexes, the need arises to assess the feasibility and profitability of installing a particular complex of systems. For this, it is proposed to apply the methods of multi-criteria assessment. As a result of calculations, the best options for the sets of systems that most widely cover the road situation have been identified.


2021 ◽  
Vol 13 (7) ◽  
pp. 3932
Author(s):  
Sara Paiva ◽  
Xabiel García Pañeda ◽  
Victor Corcoba ◽  
Roberto García ◽  
Próspero Morán ◽  
...  

The transport network and mobility aspects are constantly changing, and major changes are expected in the coming years in terms of safety and sustainability purposes. In this paper, we present the main conclusions and analysis of data collected from a survey of drivers in Spain and Portugal regarding user preferences, highlighting the main functionalities and behavior that an advanced driver assistance system must have in order to grant it special importance on the road to prevent accidents and also to enable drivers to have a pleasant journey. Based on the results obtained from the survey, we developed and present a working prototype for an advanced driver assistance system (ADAS), its architecture and rules systems that allowed us to create and test some scenarios in a real environment.


2021 ◽  
pp. 107-110
Author(s):  
О.О. Марокко

В статье рассматриваются некоторые социально-психологические аспекты повышения эффективности социальной рекламы в области безопасности дорожного движения. Автором отмечено, что для достижения цели субъект пропаганды дол- жен осознать взаимосвязь между его индивидуальным поведением на дороге и надежностью всей системы жизнеобеспечения. The article discuses some of the socio-psychological aspects of increasing of social advertising in the field of road safety. The author notes that in order to achieve the goal, the subject of propaganda must aware of the relationship between his individual behavior on the road and the reliability of the entire life support system.


2020 ◽  
pp. 51-56
Author(s):  
Т.В. Кочетова ◽  
А.В. Погодина ◽  
М.А. Харченко

В настоящей статье представлены результаты экспериментального исследования динамики когнитивного компо- нента социальной установки начинающих водителей. Приведены данные анализа психометрических показателей, характеризую- щих уровень осведомленности о факторах риска дорожно-транспортной среды, – вождение в нетрезвом состоянии и скоростное вождение. Показано, как дополнительные знания об этих факторах риска приводят к изменению установки на безопасное вождение и в дальнейшем могут обусловливать количество реальных нарушений правил дорожного движения в течение первого года стажа водительскойдеятельности. This article presents the results of an experimental research of the dynamics of the cognitive component of the social attitudes of novice drivers. The data of the analysis presents the psychometric indicators that characterized of knowledge about the risk factors of the road safety – drunk driving and speeding driving. This research shows how additional knowledge about these risk factors leads to a change in the social attitude towards safe driving and can determine the number of the violations of the traffic rules during the first year of driving experience.


Author(s):  
Manolo Dulva Hina ◽  
Hongyu Guan ◽  
Assia Soukane ◽  
Amar Ramdane-Cherif

Advanced driving assistance system (ADAS) is an electronic system that helps the driver navigate roads safely. A typical ADAS, however, is suited to specific brands of vehicle and, due to proprietary restrictions, has non-extendable features. Project CASA is an alternative, low-cost generic ADAS. It is an app deployable on smartphone or tablet. The real-time data needed by the app to make sense of its environment are stored in the vehicle or on the cloud, and are accessible as web services. They are used to determine the current driving context, and, if needed, decide actions to prevent an accident or keep road navigation safe. Project CASA is an undertaking of a consortium of industrial and academic partners. A use case scenario is tested in the laboratory (virtual) and on the road (actual) to validate the appropriateness of CASA. It is a contribution to safe driving. CASA’s contribution also lies in its approach in the semantic modeling of the context of the environment, the vehicle and the driver, and on the modeling of rules for fusion of data and fission process yielding an action to be implemented. In addition, CASA proposes a secured means of transmitting data using light, via light fidelity (LiFi), itself an alternative means of wireless vehicle–smartphone communication.


2015 ◽  
Vol 77 (29) ◽  
Author(s):  
Nassiriah Shaari ◽  
Aeni Zuhana Saidin ◽  
Asmidah Alwi

Road safety campaigns and programs have been extensively introduced and implemented in Malaysia. However, their effectiveness is still being debated. Children especially will become the unfortunate victims of road accidents if they are unaware of the danger and precaution actions to be safe on the road. In response to that, this paper introduces an application as an alternative that inculcates road safety awareness to further support existing related programs and campaigns. Particularly, an interactive web application incorporating interactive multimedia elements has been designed and evaluated. Results on the usability test indicate a promising success and highlight aspects and issues that can be further focused for improvement and enhancement. 


2018 ◽  
Vol 19 (12) ◽  
pp. 217-220
Author(s):  
Michał Rubach ◽  
Konrad Waluś

The appearance of slush on the road is determined by the intensity of precipitation, ambient temperature, surface and dew point temperature, atmospheric pressure and road traffic. The condition of slush (mixture of snow, ice, sand and chemicals such as salt) significantly affects the scope of road safety and the acceleration achieved in the driving processes. The agglomeration of slush in the space between the wheel and the wheel arches increases the resistance of the vehicle movement and increases the load on the suspension system and the steering. Excess snow and ice increases the risk of damage to these systems and may affect the steering and stability of the vehicle. The process of "deposition" of slush is particularly noticeable in environmental conditions with high humidity, and ambient and surface temperatures are below zero degrees Celsius. The article presents the idea of a system for removing slush from wheelhouse liners.


2016 ◽  
Vol 4 (1) ◽  
pp. 10-16
Author(s):  
Miloš Poliak ◽  
◽  
Štefánia Semanová ◽  
Peter Varjan

The paper deals with the issue of efficiency of financial support for public passenger transport from public funds from the perspective of improving road safety. The aim is to verify the hypothesis that financing public passenger transport from public funds is a significant tool to influence the number of passengers carried by individual automobile transport, and thus it can be a tool for influencing road safety in a particular territory. The first part of the paper analyses the sources for financial support of public passenger transport. The last part analyses possible impacts of financing public passenger transport on the road safety in relation to the specified hypothesis.


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