Internet of Things within the Service Architecture of Intelligent Transport Systems

2017 ◽  
Author(s):  
Anastasia I. Levina ◽  
Alissa S. Dubgorn ◽  
Oksana Yu. Iliashenko
Keyword(s):  
Internet Of Things ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Service Architecture ◽  
Intelligent Transport

scholarly journals Internet of Things Based Approach to Detect Obstacle in Fog to Avoid Accidents

2021 ◽  
Vol 23 (06) ◽  
pp. 912-918
Author(s):  
Rajesh Pandey ◽  
◽  
Avinav Pathak ◽  
Rohit Vats ◽  
Nidheesh Sharma ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Human Life ◽  
Emerging Technology ◽  
Ultrasonic Sensor ◽  
Transport Systems ◽  
Raspberry Pi ◽  
Road Accidents ◽  
Intelligent Transport Systems ◽  
Traffic System ◽  
Intelligent Transport

Human life is of the utmost importance. Every year, many people lose their lives in road accidents. Reasons for an accident are many like over-speeding, poor traffic system, drink and drive, rough driving, etc. this paper aims to develop a model that can be used in vehicles to identify accidents due to Zero visibility in fog in winters and alarming for the same to avoid it. IoT is an emerging technology and can be intensively used for intelligent transport systems. This paper aims to develop an automated IoT-enabled system to be used in cars for the detection and avoidance of accidents due to zero visibility in fog. To build this system, the Ultrasonic sensor will be integrated with Raspberry Pi along with other supportive components (power-bank, Jumper wires, breadboard, etc.).

Multiple vehicles detection and tracking for intelligent transport systems using machine learning approaches

2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.
Keyword(s):  
Machine Learning ◽  
Gaussian Mixture ◽  
Research Field ◽  
Transport Systems ◽  
Learning Approaches ◽  
Subtraction Method ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Detection And Tracking ◽  
Multiple Vehicles

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.

ASSESSMENT OF THE READINESS OF THE OREL CITY AGGLOMERATION TO IMPLEMENT INTELLIGENT TRANSPORT SYSTEMS

2020 ◽  
Vol 70 (3) ◽  
pp. 64-71
Author(s):  
A.S. BODROV ◽  
◽  
M.V. KULEV ◽  
D.S. DEVYATINA ◽  
O.A. LOBYNTSEVA ◽  
...  
Keyword(s):  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport
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