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Intelligent Transportation Systems (ITSs) are supposed to constantly provide drivers with useful navigation information (e.g., the shortest driving paths, real-time traffic conditions, and other road condition data) by collecting raw data from physical sensors and various media. Previous work mainly considers how to develop ITS frameworks and how to extract useful information from physical sensors...
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...
Navigation systems for drivers tend to vocalize what they want, when they want. Drivers who need to clarify instructions are often required to read directions in text form, which is a safety risk during real-time control. Instead, we investigate how a two-way-audio command interface might work. Data is easily extracted from text directions so that questions can be answered without knowledge of the...
Recent advances in location-acquisition and mobile sensing technologies have enabled tracking of vehicle movements (i.e., trajectory data). Massive trajectory datasets are processed routinely (often in real-time) to provide support for many new types of IoV (Internet of Vehicles) applications (e.g., traffic congestion management, and load-coordination across electric vehicle charging stations). High-volume,...
Road networks are the most important facility to the public transportation in modern cities. Governments around the world allocate large amounts of budgets for the pavement maintenance every year. In this paper, we proposed a crowdsourcing solution to categorize road anomalies into safety related anomalies such as speed bumps and rumble strips, and dangerous anomalies such as bumps and potholes. The...
With the rapid development of sensor technology on vehicles, more and more vehicles are checked from artificial detection to auto monitoring. A great number of real-time data acquired from sensors provides important foundation for PHM application on vehicles. Aiming at the special mining vehicle, it proposes the solution for real-time monitoring, fault diagnosis and health management based on the...
Safe autonomous operation of small unmanned flight vehicles at low-altitude in urban environments requires the ability for aircraft to reliably detect ground hazards such as buildings, towers, trees, terrain, and powerlines. Of these obstacles, powerlines likely pose the greatest challenge: powerlines are small and difficult to detect; sensor data will be non-uniform, incomplete, and will contain...
A large amount of traffic-related data, including traffic statistics, accident statistics, road information, and drivers' and pedestrians' comments, is being collected through sensors and social media networks. We focus on the issue of extracting traffic risk factors from such heterogeneous data and ranking locations according to the extracted factors. In general, it is difficult to define traffic...
Despite all that has been done to promote Road Safety in India so far, there are always regions that fall prey to the vulnerabilities that linger on in every corner. The heterogeneity of these vulnerability-inducing causes leads to the need for an effective analysis so as to subdue the alarming figures by a significant amount. The objective of this paper is to have data mining to come to aid to create...
In 2013, 32,719 people died in traffic crashes in the USA. Almost 90 people on average lose their lives every day and more than 250 are injured every hour. Road safety could be enhanced by decreasing the traffic crashes. Traffic crashes cause traffic congestion as well, which has become unbearable, especially in mega-cities In addition, direct and indirect loss from traffic congestion only is over...
Anomaly detection in bipartite graph is of great use in many real applications and therefore it attracts numerous research efforts. This work formulates the supervision on abnormal activities in vehicle inspection stations as an anomaly detection problem in weighted bipartite graph. Relevance scores and normality scores are computed for registration districts and inspection stations. The suspicion...
Data mining technology is an interdiscipline using theory and technology of artificial intelligence, machine learning, statistics and other fields. It can extract implicit but useful information and knowledge from vast amount of historical data for the enterprise, and provide solid support for the decision of company. Combining with the rate reform of domestic automobile insurance industry, this paper...
This work is about the autonomous detection of a road traffic incident by exploiting road surveillance camera videos. Timely and autonomous detection of an incident is paramount for the reduction of traffic congestion so that countermeasures can be taken at the earliest. This paper presents a novel Fuzzy Logic based analysis framework and a video based traffic data extraction scheme to decide upon...
In this report, we discuss about a data mining method for multi-modal in-vehicle sensor signals. Though several methods were previously proposed for symbolization of the multi-modal in-vehicle signals, the effectiveness of such method were not discussed in detail. We adopt the Bag-of-System (BoS) technique, a variation of the Bag-of-Features for sensor signals used in motion analysis, and evaluate...
Nowadays, wireless communication technologies have high influence on our daily lives. The vehicular ad hoc networks (VANETs) is now evolving quickly and attract attention from road operators, car manufacturers and governments. We unveil a fine traffic flow optimization method with VANETs. On the macroscopic level, our model identifies road segment profiles. On the microscopic level, vehicles send...
Intelligent Car has been the key area of our future technology, In recent years, more and more competitors started to invest one after another. Therefore, it is essential for the researcher to track how to improve their technology and research ability in intelligent car industry area. In this research, the future development of Intelligent Car industry is discussed using patent analytic tools. First...
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...
One of the most interesting areas of research is the analysis of road traffic. This includes vehicle path tracking, path prediction, intelligent vehicles, congestion detection and many more. Most of the research that has been done to detect traffic congestion used vehicular ad-hoc network (VANET) but of late data mining approach has been applied. Though most of the proposed work has successfully detected...
The paper presents the design and implementation of an intelligent advertising system using Raspberry Pi B+ v1.2 development board, RFID and display panels integrated over a network. This system can be used in multi retail stores, malls and shopping complexes. The proposed system works on performing data mining and trend analysis over sales, inventory data which is collected in real time by using...
Convenience and safety of road is very important and crucial in society. Statistics of accidental deaths has shown a growing drift in India. Accidents on road network with vehicle collision can lead to injuries or even deaths and causes economy loss. Reasons for accident includes over speeding, drunken driver and defects in vehicle as well as bad road condition. Places near residential areas, pedestrian...
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