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The traffic control system proposed in this article has as its main objectives the security, the reliability and the anonymity of the vehicle access to traffic-restricted urban zones. The aim of these zones is to reduce atmospheric pollution in urban centers. The presented approach makes use of smartphones as a communication device between the user and the virtual barrier, which acts as electronic...
This article presents an Android application for safety driving based on OsmAnd, an open source platform offering offline maps and navigation. Our application extends OsmAnd to achieved smart navigation features by creating a network of vehicles. These features allow informing regular vehicles about incoming emergency vehicles, which include ambulances, police cars and fire brigades. The goal is to...
Scarcity of fossil fuels and pressing environmental concerns are the main driving factors towards the paradigm shift from conventional to contemporary means of energy harnessing. Likewise, transportation sector is also undergoing a tantamount change with electric vehicles now seen as an alternate to conventional internal combustion engine vehicles with the additional advantage of supplying power to...
A multi-body dynamics model was established in Adams. According to the working principle of the electric power steering system(EPS), the linear assistant power curve and control strategy were designed in Matlab/Simulink. And the corresponding fault-tolerant control strategy is designed for the current distribution strategy. The co-simulation was carried out and the result shows that the dual-motor...
This paper proposes a linear parameter-varying (LPV) dynamic output-feedback shared controller to assist the driver for path tracking. In the controller design, the uncertain, diverse characteristics including delay time, preview time, and steering proportional gain with respect to different human drivers are considered with the gain-scheduling algorithm. To achieve performance improvement of the...
Dedicated Short Range Communications (DSRC) is a wireless communication standard intended for high speed secure communication between vehicles and the infrastructure. In order to overcome the limitations that vehicular environment imposes such as high mobility, IEEE published the 802.11p amendment widely known as Wireless Access in Vehicular Environment (WAVE). To the best of our knowledge, most of...
The recent major studies reveal that the transportation system of any country must focus on the road conditions for effective traffic management. The several parameters can be considered to identify the road conditions such as types of vehicles, speed limit on different roads, traffic and transport rules etc. The paper discusses about the two major and important concerns on the Indian roads scenario...
The number of fatal traffic accidents has been decreasing in Japan because of vehicles' recent safety technologies, such as stiff cabins, antilock braking systems, and seat belts. Automated vehicles and advanced driver assistance systems can advance the trend. However, many traffic accidents occur on narrow streets in residential sections, where it is difficult for even advanced vehicles to drive...
Fast and accurate upper-body and head pose estimation is a key task for automatic monitoring of driver attention, a challenging context characterized by severe illumination changes, occlusions and extreme poses. In this work, we present a new deep learning framework for head localization and pose estimation on depth images. The core of the proposal is a regressive neural network, called POSEidon,...
Health monitoring of LED lighting systems is necessary for some safety critical and emergency applications. Prognostics and health monitoring (PHM) is a method for anomaly detection and remaining useful life (RUL) prediction. In this paper, the LED lighting system was defined as LED lamp which is composed of LED strings and an electrical driver. This paper introduced different PHM approach. An implementation...
In this work, an advanced vehicle monitoring and tracking system is proposed and designed for the purpose of monitoring the vehicles which are moving from one place to the other in order to provide safety and security. The proposed method puts together superior exercise of contemporary technology by means of Embedded C programming language and the unit developed via LPC2148 and its sophisticated features...
In the modern arena, most of the accidents are caused by drunken driving and driving under the influence (DUI). Drunk driving is the only one reason behind most of the unnatural deaths in the world. In this paper, Novel based IOT (Internet of Things) module is proposed to protect the people from unnecessary deaths caused by road accidents due to drunken driving. The Proposed system makes use of the...
The paper is devoted to analysis of the heart rate variability using the cardiointervalogram of patients with bradycardia. As a result of the analysis we showed in our work that it is possible to detect the time-domain moment of the person's transition from the waking state to the state of sleep. This problem is rather actual for drivers of vehicles to prevent the car accidents. We suggested the special...
The brain-actuated vehicle model is of great value to develop a brain-actuated assistive driving. Furthermore, this study helps to develop other BCI systems such as mobile robots, wheelchairs and unmanned aerial vehicle. In this paper, we propose a control model of motor-imagery based brain-actuated vehicle. This model includes a direction control and speed control combined driver model, a motor imagery...
Data mining technology is used to analyze the association between driver's macroscopic characteristics and accident types of drivers of urban traffic accidents. Based on the correlation between microscopic characteristics (such as physiology and psychology of the driver and macro characteristics (such as sex, age and driving age), the statistic values of driver sex, age and driving characteristics...
Urban Parking is a problem that costs time and energy. That is why intelligent parking is a field of research growing very quickly. In a city where no sensor infrastructure within each place is deployed but only a counting system at every intersection is available, we show that it still possible to propose an efficient method that determines an itinerary that minimizes the expected time to find an...
Pedestrian detection is one of the key technologies of driver assistance system. In order to prevent potential collisions, pedestrians should be always accurately identified whether during the day or at night. Since the visual images of the night are not clear, this paper proposes a method for recognizing pedestrians by using a high-definition LIDAR without visual images. In order to handle the long-distance...
Advanced driver assistance systems rely on the availability of robust information on the driving situation and the driver's needs and intentions to operate reasonably and safely. For this, they have to be enabled to identify and assess both the driving situation and the driver's intentions on the basis of features that can be measured by the vehicle. In case of the prediction of lane change maneuvers...
As a response to rapidly increasing costs due to congestion in urban traffic environments, the development of Intelligent Transport Systems (ITS) has paved the way towards new and innovative mobility concepts. With most of these concepts offering benefits in travel time and congestion relief, they also come with requirements of a fully participating vehicle network and a centralized routing architecture...
With the the exponential growth of location aware devices, analysis of human movements has been the subject of several studies. Problems related to urban mobility such as vehicle congestion are serious concern in cities. Carpooling is one of the solutions to soften congestion problem. This paper presents a novel matching method for carpooling. Trajectories are firstly modeled using Neo4j spatial and...
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