Smart traffic &amp; parking management using IoT

Roy, Amit Kumar; Siddiquee, Junaed; Datta, Angshudhara; Poddar, Priyam; Ganguly, Gaurav; Bhattacharjee, Aritra

doi:10.1109/iemcon.2016.7746331

Cited by 22 publications

(13 citation statements)

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“…An article by Roy et al. [ 9 ] discusses queues in the context of a smart parking system. The aim of the proposed algorithm is to control traffic, avoiding overload when searching for a place to park.…”

Section: Related Workmentioning

confidence: 99%

Sensor-Enabled Context-Aware and Pro-Active Queue Management Systems in Intelligent Environments

Klimek

2020

Sensors

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Queue systems are practically used in various institutions and commercial enterprises constituting a challenge for the intelligent environments in smart cities. The management of the flow of customers guarantees the elimination or reduction of the queues as well as the economic benefits which follow the clients’ satisfaction of a better quality of service. An intelligent queue management system has been proposed which is designed as the pro-active and context-aware ecosystem based on multiple low-level sensors and devices constituting the IoT (Internet of Things) network. The designed context-driven system is characterised by user friendliness, as well as the client behaviour recognition and understanding which generate actions that support clients, establishing wealthy environments. A prototype version of the system has been proposed which has been validated by formal analysis and simulation. This prototype can be used as a necessary experience and as a reference point when building a target system and meeting requirements typical for context-aware and pro-active systems based on IoT networks which process massive data streams.

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Section: Related Workmentioning

confidence: 99%

Sensor-Enabled Context-Aware and Pro-Active Queue Management Systems in Intelligent Environments

Klimek

2020

Sensors

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“…While a large number of definitions and descriptions of the IoT exist, this is one definitional/descriptive quote from the author's previous work, which we utilize here: "The basic concept of the IoT is to enable objects of all kinds to have sensing, actuating, and communication capabilities, so that locally-intrinsic or extrinsic data can be collected, processed, transmitted, concentrated, and analyzed for either cyber-physical goals at the collection point (or perhaps along the way), or for process/environment/systems analytics (of a predictive or historical nature) at a processing center, often "in the cloud". Applications range from infrastructure and criticalinfrastructure support (for example smart grid, Smart City, smart building, and transportation), to end-user applications such as e-health, crowdsensing, and further along, to a multitude of other applications where only the imagination is the limit" [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. According to the Global System for Mobile Communications Association (GSMA), between 2018 and 2025, the number of global IoT connections will triple to 25 billion, while global IoT revenue will quadruple to $1.1 trillion [28]; others offer higher numbers (e.g., according to Statistica there will be about 80 billion IoT devices worldwide in 2025 [29]).…”

Section: Introductionmentioning

confidence: 99%

Practical Aspects for the Integration of 5G Networks and IoT Applications in Smart Cities Environments

Minoli

Occhiogrosso

2019

Wireless Communications and Mobile Computing

105

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Both 5G cellular and IoT technologies are expected to see widespread deployment in the next few years. At the practical level, 5G will see initial deployments in urban areas. This is perhaps fortuitous from an IoT perspective, since many “mainstream” applications of IoT will support Smart Cities, Smart Campuses and Smart Buildings. Bandwidth demand for a number of Smart City applications is the main driver for enhanced mobile broadband (eMBB)-based 5G services in general, and new-generation 5G IoT applications, in particular. In turn, the use of the millimeter wave spectrum is required to enable 5G cellular technologies to support high data rates. Millimeter wave solutions, however, impose a requirement for small cells. Generally, an implementer tries to use one or a small handful of IoT technologies; preferably, and for managerial simplicity, the implementer would want to use a cellular/5G IoT technology for all nodes, whether indoors or outdoors, instead of a heterogenous mix of various IoT technologies that have evolved over the years. This overview paper discusses a number of practical issues related to 5G-based IoT applications, particularly in Smart City environments, including the need for small cells, the transmission issues at millimeter wave frequencies, building penetration issues, the need for Distributed Antenna Systems, and the near term introduction of pre-5G IoT technologies such as NB-IoT and LTE-M, these being possible proxies for the commercial deployment and acceptance of 5G IoT.

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“…A short time later, the web application forms the got information and understands the instalment electronically finished an electronically (on the web) instalment benefit. With a specific end goal to understand the instalment, the web application transmits the prepared JSON information from IoT gadget as extraordinary web demand to online instalment benefit after which gets JSON arranged reaction from the online instalment framework Amit Roy et.al [6] has proposed a framework which utilizes an ANPR (Automated Number Plate Recognition) system to gather the essential data of the vehicle when going through the roadway. An essential thing must be finished by all vehicle proprietors that is to keep a perfect number plate and to interface their email ids and Credit Card with the License Plate Number.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart E-Toll using IoT: Design and its Implementation

Srimanth¹

2018

IJRASET

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Smart toll collection is one of the automatic identification technologies that has been used to reduce manpower, time in maintaining the toll system in the highways. This paper proposes an efficient and low cost vehicle-to-roadside communication technique called Smart E-Toll using RFID which automatically collects toll from the moving vehicles and monitors them as they cross the toll plaza. Each vehicle is identified by a unique ID through its RFID tag. When this tag is interrogated by a reader it transmits the ID of the vehicle over a radio frequency link. This ID is processed further and the cash is deducted from the user's account. Further this RFID card can also be used to block the stolen vehicles from passing. The number and the type of vehicles passing can also be tracked from the database.

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Smart traffic & parking management using IoT

Cited by 22 publications

References 0 publications

Sensor-Enabled Context-Aware and Pro-Active Queue Management Systems in Intelligent Environments

Sensor-Enabled Context-Aware and Pro-Active Queue Management Systems in Intelligent Environments

Practical Aspects for the Integration of 5G Networks and IoT Applications in Smart Cities Environments

Smart E-Toll using IoT: Design and its Implementation

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