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.
In vehicular networks, Roadside Units (RSUs) handle Vehicle-to-Infrastructure communications and are essential to overall network functionality. A successful deployment strategy for RSUs must consider both the network coverage and the cost of deployment. In this work, we propose a technique for selecting contextually significant locations for RSU deployment. In our scheme, we consider the underlying...
Software applications have become an indispensable integral part of this world. In all areas of everyday life they are used to store information. Users of software applications rely on the data correctness. Incorrect data within the data set can cause a reduced user acceptance. To avoid incorrect data sets the process of knowledge discovery in databases (KDD) is a powerful instrument. The application...
The paper adopts k-means cluster analysis in SSPS to mine 3063 collected data samples of fire fighting receive-disposal alarm in a certain city from 2009 to 2012, selects four describable attributes of these data as cluster variables, then verifies the validity of cluster variables and analyzes the mining results. The results show that, there exists certain features in clusters formed by data of fire...
With the dramatic growth of using video cameras for applications of public surveillances in recent years, detection of public threats or security issues on surveillances becomes possible nowadays. How to identify anomalous behavior from surveillance videos has been identified as an effective manner for detecting critical events in the public avenue. We in this paper discuss a new application paradigm...
The amount of automotive software functions is continuously growing. With their interactions and dependencies increasing, the diagnosis' task of differencing between symptoms indicating a fault, the fault cause itself and uncorrelated data gets enormously difficult and complex. For instance, up to 40% of automotive software functions are contributable to diagnostic functions, resulting in approximately...
Autonomous steering control is the principal task in the development of an intelligent transportation system. This research paper proposes a novel approach for vision based intelligent control of unmanned vehicles. The paper addresses the problems of accurate and efficient intelligent vehicle control by incorporating a well known evolutionary algorithm cAnt-Miner. The uniqueness of the proposed algorithm...
This paper highlights a framework for cyber surveillance of unlawful activities for critical infrastructure protection. The framework uses a computational grid based environment, which is capable of distributed data mining and real time surveillance.
Under the target of maximum number of vehicles in a stage plan, the model of dynamic wagon-flow allocating under the uncertain condition can be built. The improved approximate nondeterministic tree search (ANTS) algorithm whose parameter ?? fixed by chaos sequence generator will be introduced by means of defining the possibility break up set, waiting set and choice set to mapping dynamic wagon-flow...
According to the absence of rational rule direction in the present scale decision-making of airport emergency rescue, this article puts forward a data mining method based on the satisfaction degree control theory. This method plants the satisfaction degree evaluating function into the Association Rule Algorithm of the data mining, in order to identify the abnormal data with keeping the integrity of...
In this paper, the vehicle routing problem with time windows (VRPTW) was considered, and a mixed integer programming mathematic model of VRPTW was proposed in detail. Meantime, an improved ant colony algorithm (IACA) was proposed to overcome the shortcomings of premature convergence and slow convergence of conventional ant colony algorithm (ACA). The experiment results showed that the IACA can solve...
A new and rapid scheme for detecting vehicles based on video by single camera at urban intersection is proposed. Firstly a rapid judgment algorithm of vehicle direction is introduced, with motion object segmentation by means of frame-difference method and morphology. It extracts the unique interested region from multiple objective through the modified region-growth algorithm, gets motion direction...
An important limitation of the fixed charge location model, is the assumption that full truckload quantities are shipped from a facility to a customer. In many contexts, shipments are made in less-than-truckload (LTL) quantities from a facility to customers along a multiple-stop route. The different location decision is made from the different cost of delivery. In this paper we are concerned with...
Distributed traffic information systems apply inter-vehicular ad hoc communication to disseminate road traffic information. The high amount of traffic information carried and flooded along the road network leads to superfluous forwarding, which is usually reduced by using rate- or spatial- adaptivity in the dissemination mechanisms. However, in certain cases due to the lack of context-aware information,...
Opportunistic dissemination is a promising research domain, for more and more applications that need efficient information spreading in one area are emerging in vehicular ad-hoc networks (VANETs). The most important characteristic of vehicular networks is that they do not have a stable framework. The communication between vehicles mostly depends on the unexpected meeting. Some available data dissemination...
Vehicular traffic congestion is a global phenomenon that has increased in importance in the last decades and has caused economically and ecologically negative effects. Thus, finding a way to improve traffic efficiency is a high-frequented problem to be solved by scientists and politicians worldwide. One new promising approach is the usage of decentralized wireless vehicle to vehicle communication...
Managing and mining data derived from moving objects have become an important issue in recent years. In this paper, we are interested in mining trajectories of moving objects, such as vehicles in the road network. We propose a method for discovering dense routes by clustering similar road sections according to both traffic and location in each time period. The traffic estimation is based on the collected...
Due to the increased demands for distribution/redistribution, recycling and repacking, there has been a significant change in the logistics process. This article presented an ant colony system (ACS) algorithm to solve a vehicle routing problem with simultaneous delivery and pick-up (VRPSDP). The objective of this problem is to determine the optimal set of routes to totally satisfy both the delivery...
We present a new and effective algorithm, balanced k-means, for partitioning areas in large-scale vehicle routing problem (VRP). The algorithm divides two-stage procedures. The traditional k-means is used to partition the whole customers into several areas in the first stage and a border adjustment algorithm aims to adjust the unbalanced areas to be balanced in the second stage. The objective of partitioning...
In this paper we present a fastest path algorithm that contains multiple unique destinations, which is a specialization of the Traveling Salesman Problem (TSP) with intermediate cities. This algorithm can be used with Intelligent Transportation System (ITS) applications for determining the fastest route to travel to a set of destinations, such as required by delivery companies. The dynamic behavior...
Region of interest extraction is very important in video analysis and understanding. A simple and fast region of interest extraction method for sport scene images is proposed in this paper. Firstly, a simple method is applied to detect the interest pixels in images by the defined interest pixels extraction function and a simple strategy is applied to improve the computation speed of mean for each...
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.