Smart logistics vehicle management system based on internet of vehicles

Sharma, Namita; Chauhan, Naveen; Chand, Narottam

doi:10.1109/pdgc.2016.7913245

Cited by 17 publications

(9 citation statements)

References 7 publications

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“…Using IoV in logistics can have far-reaching benefits. IoV can be applied to smart logistics fleet management [31] by a logistic company to improve the delivery of goods. Authors in [31] suggested a smart logistics vehicle management system based on IoV [31].…”

Section: Iov Applicationsmentioning

confidence: 99%

“…IoV can be applied to smart logistics fleet management [31] by a logistic company to improve the delivery of goods. Authors in [31] suggested a smart logistics vehicle management system based on IoV [31]. The primary objective of the proposed system is to equip logistic vehicles with sensors with logistics data control centre as its backbone as visualized in Fig.…”

Section: Iov Applicationsmentioning

confidence: 99%

“…• Logistic vehicles will be equipped with sensors, and these sensors will capture different types of data such as tyre pressure, location, vehicle diagnostics, the status of goods, driving conditions, temperature etc. [31]. A public information centre will provide information such as traffic conditions, weather information and more.…”

Section: Iov Applicationsmentioning

confidence: 99%

“…RFIDs and bar codes that will send data about the goods being carried to the logistics data control centre [31]. A prime factor in implementing transport applications in IoV is security and the trust level of the information disseminated.…”

Section: Iov Applicationsmentioning

confidence: 99%

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Evolution of VANETS to IoV

Lone

Verma

Sharma

2021

Teh. glas. (Online)

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Advancement in wireless communication technology along with the evolution of low power computational devices, have given rise to the Internet of things paradigm. This paradigm is transforming conventional VANETs into Internet-of- vehicles. This transition has led to a substantial commercial interest; as a result, there has been a significant boost in the field of the Internet of vehicles during the past few years. IoV promises a wide range of applications of commercial interest as well as public entertainment and convenience (collision warning systems, on-demand in-car entertainment, smart parking, traffic information). Applications related to vehicular and passenger safety are particularly of great commercial as well as a research interest as such IoV is going to be a core component in implementing the smart city concept. This paper gives an overview of the transition of conventional VANETs to IoV and highlights the potential applications and challenges faced by the Internet of Vehicles (IoV) paradigm.

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Section: Iov Applicationsmentioning

confidence: 99%

Section: Iov Applicationsmentioning

confidence: 99%

Section: Iov Applicationsmentioning

confidence: 99%

Section: Iov Applicationsmentioning

confidence: 99%

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Evolution of VANETS to IoV

Lone

Verma

Sharma

2021

Teh. glas. (Online)

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“…To increase efficiency of Internet of Vehicles (IoV), a "smart logistics vehicle management system" is proposed [22] . Lack of traffic information, resource wastage and transportation costs are presented.…”

Section: Literature Of Reviewmentioning

confidence: 99%

Intelligent Traffic Vehicles (ITV) and Road Sign Detection Systems

Al-Barhamtoshy¹,

Abdelatif²,

ElBarahamtoshy³

2018

مجلة جامعة الملك عبدالعزيز-علوم الحاسبات وتقنية المعلومات

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This paper monitors and detects the neighbor's activities in smart vehicle using computer vision technology and innovation of Internet of Things (IoT). These activities include vehicles monitoring, movement, and location status of vehicle. The proposed solution recognized vehicles neighbors and collects data from whole sensors of vehicle, vehicle engine, road info, mobile of the derivers, and analyze such data to make some decisions. The decision includes vehicles monitoring, automated accident, road safety, air pollution, and congestion reduction in road. Therefore, the paper suggests a data analysis method to model many devices and engines, based on ontology formulation and IoT technology. This in addition, modeling and managing over such places information from anywhere at any time. Accordingly, the current paper investigate and focus on ideation and assessing the potential of computer vision using vehicles and roads signs detections, to control traffic congestion in smart roads. Consequently, an intelligent traffic approach (vehicles and road signs recognitions) will be presented in real smart vehicles or drivers assistant system. Several scenarios to identify potential components of ITVS to recognize neighbor's vehicles based on ontology architecture and road signs issues will be analyzed and recognized. The paper sketches out and develops an ontology-based to represent vehicle, drivers, roads, traffic and weather, so five ontologies will be drawn and presented. Vehicle detection ontology-based with Haar features and computer vision library will be implemented and tested. Although, traffic detection is used to help and warn drivers for specific actions. Therefore, driving safety is increased and it will be comfort. The recognition task of the vehicles and the detection task of signs within the road will be developed and tested.

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