Traffic Information Network Demand Analysis Based on Internet of Things

2020 ◽  
Keyword(s):  
Internet Of Things ◽  
Demand Analysis ◽  
Traffic Information ◽  
Information Network

Research on Internet of Vehicles and its Application in Intelligent Transportation

2013 ◽  
Vol 321-324 ◽  
pp. 2818-2821 ◽  
Author(s):  
Jian Ming Huang
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Traffic Congestion ◽  
Intelligent Transportation ◽  
Traffic Information ◽  
Sensor Technology ◽  
Transportation Industry ◽  
Internet Of Vehicles ◽  
Frequency Identification ◽  
Internet Of Things Technology

At present, the transportation industry brings energy consumption, pollution and traffic congestion is becoming more and more serious, which has greatly restricted the economic and social development. This paper elaborates the concepts of Internet of things, intelligent transportation, and Internet of vehicles; Internet of vehicles based on Internet of Things technology is considered as an effective method to solve road congestion. The key technologies of the Internet of vehicles include traffic information perception technology, network communication technology, and cloud computing technologies etc. among them, radio frequency identification technology, sensor technology, floating car data technology, and GPS positioning technology are the focus. Application of Internet of vehicles is discussed, and its future development is prospected.

scholarly journals Blockchain-based Reputation for Intelligent Transportation Systems

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 791 ◽  
Author(s):  
Liviu-Adrian Hîrţan ◽  
Ciprian Dobre ◽  
Horacio González-Vélez
Keyword(s):  
Internet Of Things ◽  
San Francisco ◽  
Intelligent Transportation Systems ◽  
Routing Algorithm ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Traffic Information ◽  
Disruptive Technology ◽  
Average Speed ◽  
The Impact

A disruptive technology often used in finance, Internet of Things (IoT) and healthcare, blockchain can reach consensus within a decentralised network—potentially composed of large amounts of unreliable nodes—and to permanently and irreversibly store data in a tamper-proof manner. In this paper, we present a reputation system for Intelligent Transportation Systems (ITS). It considers the users interested in traffic information as the main actors of the architecture. They securely share their data which are collectively validated by other users. Users can choose to employ either such crowd-sourced validated data or data generated by the system to travel between two locations. The data saved is reliable, based on the providers’ reputation and cannot be modified. We present results with a simulation for three cities: San Francisco, Rome and Beijing. We have demonstrated the impact of malicious attacks as the average speed decreased if erroneous information was stored in the blockchain as an implemented routing algorithm guides the honest cars on other free routes, and thus crowds other intersections.

scholarly journals Environmental monitoring based on data processing of Internet of Things

2019 ◽  
Vol 136 ◽  
pp. 01041
Author(s):  
Alexander Ivanov ◽  
Alexander Platov
Keyword(s):  
Internet Of Things ◽  
Urban Environment ◽  
Online Monitoring ◽  
Traditional Approach ◽  
Meteorological Data ◽  
Traffic Information ◽  
The Internet ◽  
Online Processing ◽  
Internet Users ◽  
The Internet Of Things

The concept of online monitoring of the urban environment is proposed. It is based on the online processing of hydrometeorological and traffic information received through the Internet of Things. The traditional approach of the Internet of things includes transfer and storage of huge arrays of measurements in digital form. This concept of online monitoring is primarily an analysis, evaluation of the results of processing information received from wireless networks. The concept was implemented at Nizhny Novgorod State University of Architecture and Civil Engineering in several services including Eco-routes, Quite-routes, in which the air pollution of the urban environment by vehicle emissions and the noise level from traffic flows are estimated in real time mode. The calculation is based on meteorological data and traffic flow velocity. The calculation and assessment of environment pollution is carried out at the request of the user via Internet. The concept includes micro weather and algal blooming monitoring of reservoirs and ponds. Developed services is the first to provide free short time health risk assessment for both decision makers and common internet users.

scholarly journals The role of Internet of Things on intelligent transport system: A traffic optimization model

2020 ◽  
Author(s):  
Islam Saleh Hassanin
Keyword(s):  
Internet Of Things ◽  
Transport System ◽  
Radio Frequency Identification ◽  
Optimization Model ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Traffic Information ◽  
Intelligent Transport System ◽  
Minimization Method ◽  
Intelligent Transport

The road traffic congestion has become an excessive problem and a great pressure on both the governmental and social aspects especially in megacities. Hence, developing control systems that administrate the traffic flows is a vigorous solution, which can solve the problem of traffic congestion especially in megacities that should convert their services to be smart. The Intelligent Transport System (ITS) one of the Internet of Things (IoT) applications that provides a group of pioneer schemes for handling the challenges of traffic congestion. Traditionally, sensor-based structures have been used for gathering traffic information, but the coverage, cost, and real-time matters have remained unexplained. Thus, this paper aims at proposing a new model named Traffic Flow Optimization Model (TFOM) applied in Alexandria as a case study, which is considered a cost-effective and easily maintainable traffic congestion minimization method. It combines Infra-Red (IR) and active Radio Frequency Identification (RFID) technologies. TFOM is designed to minimize traffic congestion, given reroute options to the users, taken decisions regarding congestion, and finally it could be an initial step to help future predictions in linear megacities.

IoT Architecture and Protocols in 5G Environment

2018 ◽  
pp. 105-130
Author(s):  
Ahmed Mahmoud Mostafa
Keyword(s):  
Internet Of Things ◽  
Data Exchange ◽  
Global Network ◽  
The Internet ◽  
Information Network ◽  
International Telecommunication Union ◽  
International Telecommunication ◽  
Physical Attributes ◽  
The Internet Of Things ◽  
Existing Data

The Internet of Things (IoT) is defined by the International Telecommunication Union (ITU) and IoT European Research Cluster (IERC) as a dynamic global network infrastructure with self-configuring capabilities based on standard and interoperable communication protocols where physical and virtual “things” have identities, physical attributes and virtual personalities, use intelligent interfaces and are seamlessly integrated into the information network. Many of the applications and use cases that drive the requirements and capabilities of 5G are about end-to-end communication between devices. This chapter describes the enabling technologies for the Internet of Things, the IoT architecture, the network and communication infrastructure for IoT, and the importance of scalability for 5G based IoT systems. Also, naming and addressing issues in IoT is presented along with an overview of the existing data exchange protocols that can be applied to IoT based systems.

Sign in / Sign up

Export Citation Format

Share Document