Cloud Based Intelligent Transport System

Ashokkumar, K.; Sam, B. Baron; Arshadprabhu, R.; Britto,

doi:10.1016/j.procs.2015.04.061

Cited by 69 publications

(29 citation statements)

References 31 publications

(24 reference statements)

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“…System [15]. 2015 This paper represent the multilayered vehicular data cloud platform which was supported by IoT technologies and cloud computing Support multiple technologies.…”

Section: Cloud-based Intelligent Transportmentioning

confidence: 99%

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A Review of Smart Parking System based on Internet of Things

Kaur

Malhotra

2018

ijisae

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The Internet of Things expands the wireless paradigm to the edge of the network, which enables to develop a different kind of applications or services. By using IoT the application becomes more reliable, flexible or portable. It has a large amount of nodes on the various geographic positions, to increase the awareness of location or reduce the latency. There are numerous IoT applications like smart grid, smart hospital, smart industry, smart traffic management etc. In this paper, we describe the smart traffic management and parking system using the internet to control the chaos and also discuss the various researches on this concept.

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“…System [15]. 2015 This paper represent the multilayered vehicular data cloud platform which was supported by IoT technologies and cloud computing Support multiple technologies.…”

Section: Cloud-based Intelligent Transportmentioning

confidence: 99%

“…This algorithm is simulated on high priority vehicles. K. Ashokkumar [15] represent the multilayered vehicular data cloud platform which was supported by IoT technologies and cloud computing. In this paper, the unique computer code is designed that can communicate with various devices within the road.…”

mentioning

confidence: 99%

A Review of Smart Parking System based on Internet of Things

Kaur

Malhotra

2018

ijisae

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“…In [63], Cloud based Intelligent Transport System (CITS) has been suggested to address increasing transportation problem with the help of infotainment applications. A system for multilayered vehicular data cloud has been presented.…”

Section: Infotainmentmentioning

confidence: 99%

“…This services is useful for road safety and security organization. Some of the recent works by [56][57][58][59][60][61][62][63][64] tackle some application design for incentive-based, disaster management, highway traffic control [72,73], and multimedia applications. V. Standardization and Interoperability: The vehicles have heterogeneous devices, such as, sensors, GPS and smartphones.…”

Section: Future Research Challengesmentioning

confidence: 99%

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Aliyu

Abdullah

Kaiwartya

et al. 2017

IETE Technical Review

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Cloud Computing in VANETs (CC-V) has been investigated into two major themes of research including Vehicular Cloud Computing (VCC) and Vehicle using Cloud (VuC). VCC is the realization of autonomous cloud among vehicles to share their abundant resources. VuC is the efficient usage of conventional cloud by on-road vehicles via a reliable Internet connection. Recently, number of advancements have been made to address the issues and challenges in VCC and VuC. This paper qualitatively reviews CC-V with the emphasis on layered architecture, network component, taxonomy, and future challenges. Specifically, a four-layered architecture for CC-V is proposed including perception, co-ordination, artificial intelligence and smart application layers. Three network component of CC-V namely, vehicle, connection and computation are explored with their cooperative roles. A taxonomy for CC-V is presented considering major themes of research in the area including design of architecture, data dissemination, security, and applications. Related literature on each theme are critically investigated with comparative assessment of recent advances. Finally, some open research challenges are identified as future issues. The challenges are the outcome of the critical and qualitative assessment of literature on CC-V.

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“…The area of intelligent transportation systems (ITS) has been the interest of many research works [7,8] leading to the enhancement of the transport quality considering the existing public infrastructure. Indeed, many research works have been interested in the performances of these communication systems.…”

Section: Related Workmentioning

confidence: 99%

Enhancing V2X Communication Based on a New Comb-Pilot Estimation Approach

Sassi

Hillali

Revenq

et al. 2016

International Journal of Vehicular Technology

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Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication systems, known as V2X technologies, have increasingly attracted attention in current research on road safety and traffic ergonomics. The performance evaluation of these communication systems is an important step before their potential integration and use in real systems. V2X communications are based on the IEEE 802.11p standard also known as Wireless Access in Vehicular Environment (WAVE). V2X can affect human life; therefore a deep study related to V2X performance evaluation should be done in order to be sure about the system reliability. In this context, we have elaborated a deep study related to the effect of transmission range on V2X communications by considering the terminal mobility. First, we have evaluated the performance of the PHY layer on the IEEE 802.11p using simulation. Secondly, we have conducted real case measurements using the Arada LocoMate Transmission system. The obtained results shows the necessity to optimize the quality of transmission in V2X communications. Consequently, we propose in this paper a new comb-pilot technique to enhance the quality of Orthogonal Frequency Division Multiplexing (OFDM) transmission. Our proposal consists in two new uses of the pilot subcarrier estimation technique in order to decrease the elevated bit error rate (BER). The quality of transmission (QoT) is first evaluated relating to the pilot symbol rearranged positions. Second, we proposed to optimize the QoT by adding two supplementary pilot symbols as it can offer better channel estimation results. Based on the performance evaluation of our proposal, it is confirmed that both of rearrangement and the adding of the pilot patterns lead to performance enhancement compared to baseline model (standardized one).

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Cloud Based Intelligent Transport System

Cited by 69 publications

References 31 publications

A Review of Smart Parking System based on Internet of Things

A Review of Smart Parking System based on Internet of Things

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Enhancing V2X Communication Based on a New Comb-Pilot Estimation Approach

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