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The Role of Location Based Technologies in Intelligent Transportation Systems
Nagendra R. Velaga,Arjuna Sathiaseelan
Asian Journal of Information Technology , 2012, DOI: 10.3923/ajit.2011.227.233
Abstract: Information Technology (IT) has played a significant role in enhancing the efficiency of modern day transportation systems. Recent advances in sensors, communication and information systems have enabled transportation systems to be more intelligent. Various location technologies and data integration methods (also known as map-matching algorithms) are used to support the navigation modules of such transport systems. This study provides a survey of location based technologies that encompass an Intelligent Transportation System (ITS) and provides an insight into the Required Navigation Performance (RNP) parameters that are required for decision-making in efficient delivery of transport systems. The reseachers also describe how various location sensors and map-matching algorithms are capable of supporting the navigation modules of ITS.
A Review on Mobile and Sensor Networks Innovations in Intelligent Transportation Systems  [PDF]
Emad Felemban, Adil A. Sheikh
Journal of Transportation Technologies (JTTs) , 2014, DOI: 10.4236/jtts.2014.43020
Abstract:

Rapid developments of mobile technologies, data acquisition and big data analytics, and their integration with critical application domains such as transportation systems have the potential to produce more efficient, real-time, intelligent and safe transportation infrastructure. To increase the quality of transportation services, wireless sensor networks, mobile phones, crowd sourcing, RFID and Bluetooth technologies are being used. We surveyed innovations that were transformed from ideas in research labs into commercial systems in practical use. In this paper, we present some innovative mobile technologies, services and platforms that are being used in modern transportation applications including traffic data acquisition, traffic management and control, route optimizations, infrastructure redesign, road safety and enhancing user experience.

Data Deduplication in Wireless Multimedia Monitoring Network  [PDF]
Yitao Yang,Xiaolin Qin,Guozi Sun,Yong Xu,Zhongxue Yang,Zhiyue Zu
International Journal of Distributed Sensor Networks , 2013, DOI: 10.1155/2013/153034
Abstract: Wireless sensor network has been applied to many areas for a long time. A new kind of wireless sensors equipped with a camera and a microphone has been emerging recently. This kind of sensor is called wireless multimedia sensor (WMS) because it can capture and process multimedia data such as image, sound, and video. The visual monitoring network is a typical scenario of WMS application. Massive data would be produced in a short time because of the intensive WMS deployment. Many data aggregation and compression technologies have been proposed for addressing how to transfer data efficiently. However, data aggregation technologies need highly efficient router algorithm, and compression algorithms might consume more computation time and memory because of the high complexity. This paper applies data deduplication technology to this scenario. It can eliminate the redundant data from raw data to exploit the network bandwidth efficiently. Moreover, a chunking algorithm with low computation complexity is presented in this paper, and its efficiency has been proved through the experiments. 1. Introduction Wireless sensor network (WSN) consists of a large number of spatially distributed autonomous sensors which are connected by wireless communication. It is mainly used for dynamic acquisition of physical information within the network coverage which will be delivered to users later. Currently, WSN is widely applied to the capture, processing, and transmission of the data such as temperature, light intensity, humidity, and gas concentration [1, 2]. In the recent years, as the production level of sensors improves, additional camera, microphone, and other functional devices are installed on traditional wireless sensors and enable them to capture, process, and transfer multimedia information such as image, sound, and video, so that users can obtain improved physical information which is more vivid and more accurate. This new kind of sensor can be called wireless multimedia sensor (WMS). Wireless multimedia sensor network (WMSN) consists of WMS nodes, gateway nodes with storage, sink nodes, and so on. Then, a typical WMSN architecture is proposed in [3], as shown in Figure 1. WMSN is widely used in many areas including visual monitoring, individual positioning, industrial control, intelligent transportation, environmental monitoring, smart home, and telemedicine [3–5]. Figure 1: A typical system architecture of WMSN. Multimedia sensor nodes have limited resources such as energy capacity of battery, storage space, and computing power, while the information they acquire
Heterogeneous Wireless Sensor Network for Transportation System Applications  [PDF]
K. Selvarajah,C. Shooter,L. Liotti,A. Tully
International Journal of Vehicular Technology , 2011, DOI: 10.1155/2011/853948
Abstract: The important innovations in wireless and digital electronics will support many applications in the areas of safety, environmental and emissions control, driving assistance, diagnostics, and maintenance in the transport domain. The last few years have seen the emergence of many new technologies that can potentially have major impacts on transportation systems. One of these technologies is Wireless Sensor Networks. A wireless sensor device is typically composed of a processing unit, memory, and a radio chip which allows it to communicate wirelessly with other devices within range. The Embedded Middleware in Mobility Applications (EMMA) project delivers a middleware that aims to facilitate the interaction between sensing technologies in transportation systems. This paper outlines our experience in the EMMA project and provides an illustration of the important role that wireless sensor technology can play in future transportation system. The paper discusses our experience of using heterogeneous sensors to develop transportation system applications in the EMMA project and focuses on how cooperation between vehicle and infrastructure can be addressed. It also presents encouraging results obtained from the experiments in investigating the feasibility of utilising wireless sensor in vehicle and vehicle-to-infrastructure communication in real transportation applications. 1. Introduction A recent study by the UK Government’s Office of Science and Innovation, which examined how future intelligent infrastructure would evolve to support transportation over the next 50 years, looked at a range of new technologies, systems, and services that may emerge over that period [1, 2]. One key class of technology that was identified as having a significant role in delivering future intelligence to the transport sector is Wireless Sensor Networks (WSN) and in particular the fusion of fixed and mobile networks to help deliver a safe, sustainable, and robust future transport system based on the better collection of data, its processing and dissemination, and the intelligent use of the data in a fully connected environment. As future intelligent infrastructure will bring together and connect individuals, vehicles and infrastructure through wireless communications, it is critical that robust communication protocols are developed. Mobile wireless ad-hoc networks (MANETs) are self-organising networks where nodes exchange data without the need for an underlying infrastructure [3]. MANETs have attracted extraordinary attention from the research community in recent years including in
Enhancing Highway Traffic Safety Through Intelligent Car  [PDF]
Sudha Singh,S C Dutta,D K Singh,S K Singh
International Journal of Distributed and Parallel Systems , 2012,
Abstract: The transportation domain has already moved towards intravehicle intelligent spaces. In this paper, wewill use various wireless technologies for traffic safety. This safety will be provided by developing a model for intelligent transportation system applications using emerging wireless communication technology in emergency situations. The performance analysis of the proposed model will be carried out. The experimental results will be also demonstrated. In this paper, we also propose some improvements in infrastructure of highway for better traffic control and safety.
Modeling and Analyzing the Dependability of Short Range Wireless Technologies via Field Failure Data Analysis  [cached]
Gabriella Carrozza,Marcello Cinque
Journal of Software , 2009, DOI: 10.4304/jsw.4.7.707-716
Abstract: Direct analysis of failures from the field of application is an effective practice to understand the actual dependability behavior of an operational system. However, despite its wide use over the last four decades on a large variety of systems, field data analysis has rarely been applied to wireless networks. Users accessing the Internet ubiquitously through these networks are increasing, and they expect the same dependability level they already experience on wired networks. But how can we analyze the dependability level of a wireless network? The article defines a novel combined approach to model and analyze the dependability of short range wireless technologies exploiting field data. Through the experience gained from extensive failure analysis of Bluetooth networks, the paper shows how field failure data can play a key role to fill the gap on understanding the dependability behavior of wireless networks.
Embedding a Multi-agents Collaboration Mechanism into the Hybrid Middleware of an Intelligent Transportation System  [PDF]
Steven K.C. Lo,Huan-Chao Keh
Information Technology Journal , 2011,
Abstract: Even if wireless networks and mobile computing technologies have comprehensively developed in recent years. Letting people extract information anywhere at anytime is the goal of this development. But in the telematics domain, the drivers can obtain road information through radio or certain in-car equipment, there is still a wide gap with regard to the synchronization of this information with actual road conditions. In the absence of adequate information, drivers often react to conditions with behaviors that do not contribute to their own driving goals but rather cause more complicated traffic conditions. Therefore, this study employs a process known as multi-agent collaboration. Information exchanged between the features and established mutual communication and collaboration mechanisms is applied in Intelligent Transportation Systems (ITS). By allowing drivers to have distributed communication with other vehicles to share driving information, collect information and/or submit their own reasoned driving advice to other drivers, many traffic situations could effectively be improved and the efficiency of the computing processes could be improved through distributed communication. This study proposes an architecture design for middleware that includes vehicle information, navigation, announcements and communication which could prove to be a more convenient and efficient intelligent transportation system.
Wireless Monitoring of Automobile Tires for Intelligent Tires  [PDF]
Ryosuke Matsuzaki,Akira Todoroki
Sensors , 2008, DOI: 10.3390/s8128123
Abstract: This review discusses key technologies of intelligent tires focusing on sensors and wireless data transmission. Intelligent automobile tires, which monitor their pressure, deformation, wheel loading, friction, or tread wear, are expected to improve the reliability of tires and tire control systems. However, in installing sensors in a tire, many problems have to be considered, such as compatibility of the sensors with tire rubber, wireless transmission, and battery installments. As regards sensing, this review discusses indirect methods using existing sensors, such as that for wheel speed, and direct methods, such as surface acoustic wave sensors and piezoelectric sensors. For wireless transmission, passive wireless methods and energy harvesting are also discussed.
Intelligent Modified Channel and Frequency Offset Estimation Schemes in Future Generation OFDM-Based Packet Communication Systems  [cached]
Jaemin Kwak,Sungeon Cho,Kitaeg Lim,Pusik Park
EURASIP Journal on Wireless Communications and Networking , 2008, DOI: 10.1155/2008/735732
Abstract: The channel estimation and frequency offset estimation scheme for future generation orthogonal frequency division multiplexing (OFDM-) based intelligent packet communication systems are proposed. In the channel estimation scheme, we use additional 8 short training symbols besides 2 long training symbols for intelligently improving estimation performance. In the proposed frequency offset estimation scheme, we allocate intelligently different powers to the short and long training symbols while maintaining average power of overall preamble sequence. The preamble structure considered is based on the preamble specified in standardization group of IEEE802.11a for wireless local area network (WLAN) and IEEE802.11p for intelligent transportation systems (ITSs). From the simulation results, it is shown that the proposed intelligent estimation schemes can achieve better mean squared error (MSE) performance for channel and frequency offset estimation error than the conventional scheme. The proposed schemes can be used in designing for enhancing the performance of OFDM-based future generation intelligent communication network systems.
Intelligent Modified Channel and Frequency Offset Estimation Schemes in Future Generation OFDM-Based Packet Communication Systems  [cached]
Kwak Jaemin,Cho Sungeon,Lim Kitaeg,Park Pusik
EURASIP Journal on Wireless Communications and Networking , 2008,
Abstract: The channel estimation and frequency offset estimation scheme for future generation orthogonal frequency division multiplexing (OFDM-) based intelligent packet communication systems are proposed. In the channel estimation scheme, we use additional 8 short training symbols besides 2 long training symbols for intelligently improving estimation performance. In the proposed frequency offset estimation scheme, we allocate intelligently different powers to the short and long training symbols while maintaining average power of overall preamble sequence. The preamble structure considered is based on the preamble specified in standardization group of IEEE802.11a for wireless local area network (WLAN) and IEEE802.11p for intelligent transportation systems (ITSs). From the simulation results, it is shown that the proposed intelligent estimation schemes can achieve better mean squared error (MSE) performance for channel and frequency offset estimation error than the conventional scheme. The proposed schemes can be used in designing for enhancing the performance of OFDM-based future generation intelligent communication network systems.
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