Developing architectures and systems from the European ITS framework architecture

Bossom, Richard

doi:10.1049/ic:20000605

Cited by 5 publications

(5 citation statements)

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“…28 Vehicular ad hoc networks enable the communication among roadside vehicles without the previous infrastructure. [29][30][31][32] A number of in-art sensors have been attached to vehicles, such as display screen, sensor, antenna, radar, global positioning system, application unit, and central processing units. 33 While reading about the VANET, two important points have been noticed.…”

Section: Conventional Vanetmentioning

confidence: 99%

“…Due to the increase in research and technology advancements in wireless connections, the intelligent transportation system has evolved to vehicle node‐to‐vehicle node communications, and roadside unit‐to‐vehicle communication came into existence 28 . Vehicular ad hoc networks enable the communication among roadside vehicles without the previous infrastructure 29–32 . A number of in‐art sensors have been attached to vehicles, such as display screen, sensor, antenna, radar, global positioning system, application unit, and central processing units 33 …”

Section: Introductionmentioning

confidence: 99%

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Enhancing the security and performance of nodes in Internet of Vehicles

Vijayarangam¹,

Babu

Murugan³

et al. 2018

Concurrency and Computation

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Summary Internet of Vehicles is recorded as an ever growing area for connected vehicles to exchange their information with other vehicles using vehicle‐to‐vehicle communication. Vehicle‐to‐vehicle communication is possible by forming vehicular ad hoc networks, with the help of roadside units using vehicle‐to‐roadside communications in the network. Internet of networks has many advantages such as road safety, traffic management, and sharing information on daily traffic and updating traffic information. For example, the Internet of Vehicles can be used to reduce traffic and deaths occurring due to road accidents, to reduce the fuel needed, and to reduce travel time. Interconnected vehicles rapidly learn about road conditions and traffic and respond to the driver; thus, necessary actions are taken. However, the attacker can modify the information in the connected vehicles and, thus, creates problem on the road. Data fascination is one of the main attacks on connected vehicles where connected vehicles take action based on information from the other vehicle. In this paper, first, a model has been proposed to detect the data fascination attack using the hashing technique to enhance the security in the interconnected vehicles by adjusting the size of the contention window to transfer original information to other interconnected vehicles at the correct time. Second, a model has been suggested to reduce the travel time in case of traffic congestion. The efficiency of the proposed model is checked using numerical methods obtained from the simulation results. From the obtained results, the proposed approach prevents data fascination attacks in interconnected vehicles and provides high throughput with lower delay.

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Section: Conventional Vanetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing the security and performance of nodes in Internet of Vehicles

Vijayarangam¹,

Babu

Murugan³

et al. 2018

Concurrency and Computation

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“…The ACN is used to warn drivers of crash occurrence and avoid chain collision. There are a number of event-driven critical collision risk notification services defined in WAVE basic applications standard [18] such as pre-crash sensing, cooperative forward collision, intersection collision and hazardous location warning. Meanwhile, CAM is used to periodically communicate routine vehicular status such as GPS coordinates, speed, direction and vehicle class.…”

Section: Safety Broadcast Scenario Setupmentioning

confidence: 99%

Systematic raptor codes for safety broadcast in an unsaturated vehicular highway environment

Abdullah

Piechocki

Doufexi

2012

J Wireless Com Network

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Active safety broadcast is one of the most fundamental services in intelligent transportation systems. The repetition code proposed in wireless access for vehicular environment (WAVE) standard is inefficient in realistic channel conditions and rapidly changing network topologies. In this study, we propose the use of systematic raptor codes as a forward error correction (FEC) scheme at the MAC layer. This code is optimised for short packet lengths, as are expected in safety applications. We have developed a multi-layered simulator that consists of realistic IEEE 802.11p physical layer results, an analytical random access MAC model and FEC codes implemented at different OSI layers. The model considers safety messages under non-saturated channel conditions according to the vehicular IEEE 802.11p standard. Issues such as the hidden nodes problem, interference and vehicles leaving the communication area are considered. The performance evaluation of raptor codes against repetition codes in the shared control channel with different antenna schemes is also presented.

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“…Such information is mapped to a legacy system through data flows. These flows can be described using a set of flow classes, including event, stream, request/response, configuration and alarm flows, based on the characteristics and requirements of communication links provided by the KAREN framework architecture [23]. Using these descriptions, individual iTransIT systems implement interfaces that map specific legacy data to their data layers.…”

Section: Common Spatial Data Modelmentioning

confidence: 99%

A framework for incremental construction of real global smart space applications

Meier

Harrington

Beckmann

et al. 2009

Pervasive and Mobile Computing

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-This article describes a standardised way to build context-aware global smart space applications using information that is distributed across independent (legacy, sensor-enabled, and embedded) systems by exploiting the overlapping spatial and temporal attributes of the information maintained by these systems. The framework supports a spatial programming model based on a topographical approach to modelling space that enables systems to independently define and use potentially overlapping spatial context in a consistent manner and in contrast to topological approaches, in which geographical relationships between objects are described explicitly. This approach is supported by an extensible data model that implicitly captures the relationships between information provided by separate underlying systems and facilitates the incremental construction of global smart spaces since the underlying systems to be incorporated are largely decoupled. The framework has been evaluated using a prototype that integrates legacy systems and context-aware services for multi-modal urban journey planning and for visualising traffic congestion.

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Developing architectures and systems from the European ITS framework architecture

Cited by 5 publications

References 0 publications

Enhancing the security and performance of nodes in Internet of Vehicles

Enhancing the security and performance of nodes in Internet of Vehicles

Systematic raptor codes for safety broadcast in an unsaturated vehicular highway environment

A framework for incremental construction of real global smart space applications

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