The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Statistical data shows that a driver who was lack of the ability to discover potential risk situation and safe driving awareness was more probably to cause an accident. The safe driving awareness was considered as a factor in contributing to vehicle crashes. In this study, a creative method to improve safety awareness based on driving simulator was proposed. Firstly, the definition and classification...
Researched on the characteristic of the traffic flow, a new method of abnormal data detection on traffic flow based on the curve-fitting is presented. First, the historical data on traffic flow are divided into the traffic flow with high speed and the traffic flow with low speed by the clustering analysis. Then, the algorithm on the determination safety zone scope is obtained by the curve-fitting...
Traffic congestion has been a long-held social problem because of the increasing number of vehicles. In this paper, we apply a pheromone model to a traffic signal control in order to alleviate the traffic congestion. The pheromone model is a tool to communicate among insects (e.g., ants) for their crowd action. In our target problem, the pheromone is strewed by vehicles in a trail across the road...
Lane mark extraction and detection system gives vital information for many intelligent transportation systems. There are several active research projects on the system, but none of them is using frequency-based saliency techniques to extract lane regions for Driving Assistant Systems (DASs). In our research, two frequency-based saliency map building techniques, Phase Fourier Transform (PFT) and Quadrature...
Focusing on the problem that the detection accuracy of traffic detection system is sensitive to the changes of complex environments, this paper presents an improved method of vehicle detection. It builds and updates the background adaptively. Additionally, to improve the computation efficiency of shadow elimination, a fast algorithm of neighbor mean based on HSV model is proposed. As the occlusion...
An improved monocular vision method is studied for intelligent vehicle to detect the preceding car in the structural road environment. Through identifying the edges of the car, the object is detected; the false object is eliminated and the eligible object expressed as a 2-D model is acquired. Then the location of object in the next frame is predicted by Kalman filter, and the object is detected near...
Red-light violation video detection is one of the critical techniques in the intelligent transportation system, it is superior to traditional detection methods in aspect of function and maintenance. According to the practice of crossroads and the characteristics of vehicles running red-light, this paper presents a vision vehicle detection algorithm based on detection region to detect moving vehicles,...
Locating the vehicle license plate plays an important role in the vehicle license plate automatic recognition system, At present license plate gray feature and texture feature were considered in the most license plate location methods, however, these methods have weak adaptability in different environment. To solve these problems, license plate location based on singular value feature is proposed...
Based on the concept of fuzzy logic, a new map-matching algorithm was proposed to reduce the GPS positioning error by means of position correction in use of the digital map. Firstly, three fuzzy rules are introduced in different aspects which may influent the credibility judgment of the best matching road. And the corresponding membership functions are defined in details separately for sub-evaluations...
Present Traffic Light Controllers (TLC) are based on microcontroller and microprocessor. These TLC have limitations because it uses the pre-defined hardware, which is functioning according to the program that does not have the flexibility of modification on real time basis. Due to the fixed time intervals of green, orange and red signals the waiting time is more and car uses more fuel. To make traffic...
Recent progress in grid computing concept and its allied application technologies has helped us to device an efficient tool for heavy workload management. Concept of this middleware technology supports to build more and more complex application which can process large real time data set. Mobilization of under utilized resources among the needy processes can easily be carried out with distributed grid...
The availability of real-time CAN-ECU data and the emerging vehicular networks are critical for advanced vehicle monitoring and control. This paper presents our integrated info-security scheme, real-time hardware/software solutions and their application scenarios. The core is the Integrated Info-Security Circuit Board to communicate with ECUs and sensors inside a vehicle through CAN Bus, LIN Bus,...
One of the major objectives of Advanced Traffic Management Systems (ATMS) is to reduce traffic congestion in urban environments by improving the efficiency of utilization of existing infrastructures. Many creative and efficient technologies have been developed over the years. Although, commuters especially drivers take a critical part in containing traffic congestion problems, they are playing a passive...
Vehicle Class is an important parameter in road traffic measurement. In this paper authors developed an algorithm to find the accuracy of the system for vehicle classification using different techniques. The algorithm mainly reads the inference system and applies various input samples, check the class of each sample and calculate the accuracy. Initially the classification was done using Type-1 fuzzy...
This paper proposes an iterative learning control approach for the traffic control problem and the objective of control is to derive a proper control signal through iterative learning process to achieve the freeway mainline density tracking task in the presence of unknown but repeated environment and disturbance. The performance of the proposed approach is evaluated based on simulation results on...
The radio frequency identification (RFID) tags are an integral part of lives today, whether realized or not. Thousands of applications are currently using RFID tags and the number is growing. RFID finds its application in fields as diverse as race timing, transportation payments, passports, & animal identification. This paper aims at combining the ubiquitous applicability of RFIDs with high speed...
Increasingly powerful integrated circuits are making an entire range of new applications possible. Recent technological advances are enabling a new generation of smart cameras that represent a quantum leap in sophistication. While todaypsilas digital cameras capture images, smart camera capture high-level descriptions of the scene and analyze what they see. A smart camera combines video sensing, high-level...
Research on automobile driving state real-time monitoring system is introduced in this paper, which takes S3C2410 (ARM920T) microprocessor as the core and takes Linux as the operating system. This system adds the fault diagnosis expert system to the traditional automotive driving state monitoring system, which is only storing and displaying the driving state parameters on the base of the real-time...
In this paper an improved BP neural network classifier based on decision attribute support and PSO is proposed to solve the problems of BP neural network, such as low speed in convergence, easily converging to local minimum, lacking of data analysis and reasonable guidance on the network structure design. According to the change on decision attribute support as increasing and decreasing of attributes,...
In this paper, an algorithm is proposed to identify and track moving objects for the autonomous vehicles target following application. It is a difficult problem because both the targets and the cameras are moving. Here, optical flow fields, color features, stereo pair disparity are used as visual features while vehicles' motion sensors are used to determine the camera motion. Then this paper proposes...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.