Real-time traffic sign detection and recognition using Raspberry Pi

Nowadays, the number of road accident in Malaysia is increasing expeditiously. One of the ways to reduce the number of road accident is through the development of the advanced driving assistance system (ADAS) by professional engineers. Several ADAS system has been proposed by taking into consideration the delay tolerance and the accuracy of the system itself. In this work, a traffic sign recognition system has been developed to increase the safety of the road users by installing the system inside the car for driver’s awareness. TensorFlow algorithm has been considered in this work for object recognition through machine learning due to its high accuracy. The algorithm is embedded in the Raspberry Pi 3 for processing and analysis to detect the traffic sign from the real-time video recording from Raspberry Pi camera NoIR. This work aims to study the accuracy, delay and reliability of the developed system using a Raspberry Pi 3 processor considering several scenarios related to the state of the environment and the condition of the traffic signs. A real-time testbed implementation has been conducted considering twenty different traffic signs and the results show that the system has more than 90% accuracy and is reliable with an acceptable delay.

A Brief Overview of Road Accidents and Recent Preventive Methodologies for Accident Hotspots in the United Arab Emirates

This paper highlights major causes of road accidents in the United Arab Emirates (UAE) and explores the possibility of reducing them through modern in-vehicle control technologies. Mostly, road safety data from the Global Road Safety Facility (GSRF), Road Safety Polices and Regulations for UK and UAE have been reviewed for comparison and analysis. It contains a descriptive analysis of road accident data which was taken from Ministry of Interior (MOI) - UAE website. It shows how the Pareto Principle applies to most of the road accidents in the UAE with young males’ poor driving habits and higher maximum speed limits being the major causes and, a systematic approach as per the Nilsson Power Model, to tackle these issues. It ends with the conclusion that, although high speed limits on urban roads and highways are some of the critical factors in causing dangerous road accidents but, it can be tackled with by implementing strict road safety policies and enforcing them with modern in vehicle technologies.

METHODOLOGY EXPERT STUDY OF ROAD TRANSPORT ACCIDENT WITH PEDESTRIAN RIDING

The article presents a methodology for an expert study of a road accident with a collision with a pedestrian, which is aimed at determining whether a vehicle driver has the technical ability to avoid a collision in a specific situation. In addition, an analysis of methods is presented with a description of the stages of research and patterns of movement of a vehicle and a pedestrian before the occurrence of an accident. The presented technique can be used by experts in the investigation of road accidents

A Computational Framework for Human-centric Vehicular Crashworthiness Design and Decision-Making Under Uncertainty

Government agencies, globally, strive to minimize the likelihood and frequency of human death and severe injury on road transport systems. From an engineering design standpoint, the minimization of these road accident effects on occupants becomes a critical design goal. This necessitates the quantification and management of injury risks on the human body in response to several vehicular impact variables and their associated uncertainties for different crash scenarios. In this paper, we present a decision-based, robust design framework to quantify and manage the impact-based injury risks on occupants for different computational model-based car crash scenarios. The key functionality offered is the designer's capability to conduct robust concept exploration focused on managing the selected impact variables and associated uncertainties, such that injury risks are controlled within acceptable levels. The framework's efficacy is tested for near-side impact scenarios with impact velocity and angle of impact as the critical variables of interest. Two injury criteria, namely, Head Injury Criterion (HIC) and Lateral Neck Injury Criteria (Lateral Nij), are selected to quantitatively measure the head and neck injury risks in each crash simulation. Using the framework, a robust design problem is formulated to determine the combination of impact variables that best satisfice the injury goals defined. The framework and associated design constructs are generic and support the formulation and decision-based robust concept exploration of similar problems involving models under uncertainty. Our focus in this paper is on the framework rather than the results per se.

Road Traffic Safety Development Trends in Latvia

The main focus of this article is on the road traffic safety development trends in Latvia. Soon after the regain of independence at the beginning of the 1990s, road traffic safety characteristics in Latvia were the worst in the Latvian history. The increase of car availability and affordability made the car a major road vehicle. The implementation of road safety programmes contributed to essential improvement of road traffic safety in Latvia. The number of road accident fatalities in 2020 compared to 1991 decreased more than sevenfold. Nevertheless, the current Latvian road traffic safety statistics is well below the average level of the EU member states and even the pandemics did not cause similar reduction as in most member states. This indicates that great improvement is still needed. The article shows the Latvian experience in road traffic safety enhancements and discusses the measures to improve road traffic safety.

Influence of Social, Economic and Family Factors on Alcohol Consumption: A Systematic Review

Alcohol consumption is increasing global and it is the reasons for large number of death. According to WHO 2018, 3.3 million deaths worldwide related to alcohol consumption was recorded in 2016 alone. The use of alcohol has a serious impact on lives which leads to poverty, road accident, injury, domestic violence and crime. This study reviews the literature to find the predictors and provide direction for future work. Using a systematic literature review, several filtering process using selected keywords a total of 20 articles were reviewed. The findings showed that most of studies were conducted in Europe followed by US. There are limited number of reviewed studies and the predictors are mainly related to socio-economic status, social factors, demographics, social networking sites, family factor and stress. Findings were discussed and direction of future work were highlighted. More studies are needed to understand the predictors of alcohol consumption in the community as large. Due to limited studies related alcohol consumption in the developing countries, topic of alcohol use are needed to be investigated in order to fill in the gap in the literature. It is important to identify and understand factors causes alcohol consumption which leads to social and health problems in the society. By identifying these predictors could reduce a potential risk when individuals are exposed to harmful behavior.