A Vehicle-to-Vehicle Communication System Using Iot Approach

Chowdhury, Dipayan N.; Agarwal, Nimish; Laha, Arnab B.; Mukherjee, Amrit

doi:10.1109/iceca.2018.8474909

Cited by 25 publications

(5 citation statements)

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“…The capabilities of Intelligent Transportation Systems can be significantly increased by changing their infrastructure. [117] makes a novel communication method suggestion. Based on the IoT principle of M2M communication, the authors propose and simulate a vehicle-to-vehicle (V2V) communication framework.…”

Section: Infrastructurementioning

confidence: 99%

Smart Transportation: An Overview of Technologies and Applications

Oladimeji

Gupta

Kose

et al. 2023

Sensors

108

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As technology continues to evolve, our society is becoming enriched with more intelligent devices that help us perform our daily activities more efficiently and effectively. One of the most significant technological advancements of our time is the Internet of Things (IoT), which interconnects various smart devices (such as smart mobiles, intelligent refrigerators, smartwatches, smart fire alarms, smart door locks, and many more) allowing them to communicate with each other and exchange data seamlessly. We now use IoT technology to carry out our daily activities, for example, transportation. In particular, the field of smart transportation has intrigued researchers due to its potential to revolutionize the way we move people and goods. IoT provides drivers in a smart city with many benefits, including traffic management, improved logistics, efficient parking systems, and enhanced safety measures. Smart transportation is the integration of all these benefits into applications for transportation systems. However, as a way of further improving the benefits provided by smart transportation, other technologies have been explored, such as machine learning, big data, and distributed ledgers. Some examples of their application are the optimization of routes, parking, street lighting, accident prevention, detection of abnormal traffic conditions, and maintenance of roads. In this paper, we aim to provide a detailed understanding of the developments in the applications mentioned earlier and examine current researches that base their applications on these sectors. We aim to conduct a self-contained review of the different technologies used in smart transportation today and their respective challenges. Our methodology encompassed identifying and screening articles on smart transportation technologies and its applications. To identify articles addressing our topic of review, we searched for articles in the four significant databases: IEEE Xplore, ACM Digital Library, Science Direct, and Springer. Consequently, we examined the communication mechanisms, architectures, and frameworks that enable these smart transportation applications and systems. We also explored the communication protocols enabling smart transportation, including Wi-Fi, Bluetooth, and cellular networks, and how they contribute to seamless data exchange. We delved into the different architectures and frameworks used in smart transportation, including cloud computing, edge computing, and fog computing. Lastly, we outlined current challenges in the smart transportation field and suggested potential future research directions. We will examine data privacy and security issues, network scalability, and interoperability between different IoT devices.

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Section: Infrastructurementioning

confidence: 99%

Smart Transportation: An Overview of Technologies and Applications

Oladimeji

Gupta

Kose

et al. 2023

Sensors

108

View full text Add to dashboard Cite

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“…To promote urban planning, IoT-based applications such as vehicle to vehicle (V2V) communication framework and M2M communication are used to strengthen the infrastructure aspects of smart cities. For example, by using GPS, vehicles like cars will be aware of their position and exchange information related to speed, movement, and location with the server [56]. In another case, a combined hardware and software system is used for monitoring the bus fleet so that there is an enhancement in the public transport user experience.…”

Section: 2ml-based Iiot In Smart Citiesmentioning

confidence: 99%

Role of machine learning approach for industrial internet of things (IIoT) in cloud environment-a systematic review

2023

IJATEE

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“…A new way of communication is proposed in [73]. The authors suggest and simulate a Vehicle to Vehicle (V2V) communication framework based on the IoT principle of M2M communication.…”

Section: Infrastructurementioning

confidence: 99%

A Review of Machine Learning and IoT in Smart Transportation

et al. 2019

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With the rise of the Internet of Things (IoT), applications have become smarter and connected devices give rise to their exploitation in all aspects of a modern city. As the volume of the collected data increases, Machine Learning (ML) techniques are applied to further enhance the intelligence and the capabilities of an application. The field of smart transportation has attracted many researchers and it has been approached with both ML and IoT techniques. In this review, smart transportation is considered to be an umbrella term that covers route optimization, parking, street lights, accident prevention/detection, road anomalies, and infrastructure applications. The purpose of this paper is to make a self-contained review of ML techniques and IoT applications in Intelligent Transportation Systems (ITS) and obtain a clear view of the trends in the aforementioned fields and spot possible coverage needs. From the reviewed articles it becomes profound that there is a possible lack of ML coverage for the Smart Lighting Systems and Smart Parking applications. Additionally, route optimization, parking, and accident/detection tend to be the most popular ITS applications among researchers.

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A Vehicle-to-Vehicle Communication System Using Iot Approach

Cited by 25 publications

References 1 publication

Smart Transportation: An Overview of Technologies and Applications

Smart Transportation: An Overview of Technologies and Applications

Role of machine learning approach for industrial internet of things (IIoT) in cloud environment-a systematic review

A Review of Machine Learning and IoT in Smart Transportation

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