Accident Risk Prediction and Location Tracking of a Vehicle Using Real-Time Data Acquisition from Vehicle Sensors

Author(s):  
C. Suhrit ◽  
Aarti Sharma ◽  
Deepa Kumari ◽  
A. R. Kulkarni
J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.


1986 ◽  
Vol 17 (5) ◽  
pp. 285-296 ◽  
Author(s):  
Massimo Annunziata ◽  
Giuseppe Cima ◽  
Paola Mantica ◽  
Giacomo R. Sechi

Author(s):  
Kiran Patel ◽  
Umesh Nagora ◽  
Hem C. Joshi ◽  
Surya Pathak ◽  
Kumarpalsinh A. Jadeja ◽  
...  

Author(s):  
Sachin S Junnarkar ◽  
Jack Fried ◽  
Sudeepti Southekal ◽  
Jean-Francois Pratte ◽  
Paul O'Connor ◽  
...  

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