Research on the application of BIM + GIS + artificial intelligence in smart transportation

2021 ◽  
Author(s):  
Linyan Zhang
Keyword(s):  
Artificial Intelligence ◽  
Smart Transportation

scholarly journals A Hybrid Architecture combining Artificial intelligence and Blockchain for IoT Applications

2021 ◽  
Vol 2 (3) ◽  
pp. 138-142
Author(s):  
Dr. D. Sivaganesan
Keyword(s):  
Artificial Intelligence ◽  
Human Life ◽  
Hybrid Architecture ◽  
Efficient Manner ◽  
Smart Transportation ◽  
Secure Environment ◽  
Block Chain ◽  
The Impact ◽  
Decentralized Architecture ◽  
Crucial Part

As Internet of Things (IoT) revolutionized over the years, it has become a crucial part in many application such as smart city and smart transportation, ensuring smooth functioning of the human life in a more reliable manner. As the amount of data that is to be collected, stored and analyzed increases, there is need for a system that perform these tasks in a more efficient manner. Artificial intelligence plays a crucial part in delivering these requirements. But when AI is involved, it will also result in the use of big tools that are necessary for tackling the issue at hand. Hence in order to ensure that AI can function in a smooth manner, blockchain support is introduced such that it develops a decentralized architecture. Block chain will provide a safe and secure environment to share the information and resources and can also address the drawbacks of Artificial intelligence. The purpose of this proposed work is to develop a hybrid architecture, combining the advantages of blockchain and artificial intelligence to enable big data analysis. We have performed an analysis and results have been observed to conclude the impact of blockchain in Artificial Intelligence in the aspect of latency and accuracy. The results indicate that the proposed architecture excels over the other architectures and can also overcome some of the challenges prevalent.

Fruitful Synergy Model of Artificial Intelligence and Internet of Thing for Smart Transportation System

2020 ◽  
Vol 4 (1) ◽  
pp. 43-57 ◽  
Author(s):  
Vikram Puri ◽  
Chung Van Le ◽  
Raghvendra Kumar ◽  
Sandeep Singh Jagdev
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Transportation Systems ◽  
Smart Cities ◽  
Urban Transportation ◽  
Fall Detection ◽  
Transportation System ◽  
Transportation Systems ◽  
Support Vector ◽  
Smart Transportation ◽  
Artificial Neural Network Ann

In urban transportation systems, bicycle sharing systems are majorly deployed in major cities of both developed and developing countries. The recent boom of bicycle sharing system along with its upgraded technology have opened new opportunities towards urban transportation system. With the enlargement of intelligent transportation systems (ITS's), smart bicycle sharing schemes are more popular to smart cities as a green transportation mode. In this article, the Internet of Things (IoT) and artificial intelligence-based monitoring devices have been proposed for the bicycles. This system contains a harmful exhaust gas sensor, wireless module, and a GPS receiver and camera that are capable to send data with time and date stamping. In addition, sensor also integrated on the bicycle for the fall detection. An artificial neural network (ANN) and support vector machine (SVM) applied to the data collected at central server is designed to analyze the root mean square error (RMSE), and coefficient of correlation (R2). Result shows that ANN performance is better when compared to SVM.

scholarly journals Moving Towards Intelligent Transportation via Artificial Intelligence and Internet-of-Things

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6945
Author(s):  
Miltiadis D. Lytras ◽  
Kwok Tai Chui ◽  
Ryan Wen Liu
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart City ◽  
Intelligent Transportation ◽  
Transport Networks ◽  
Smart Transportation

One of the key smart city visions is to bring smarter transport networks, specifically intelligent/smart transportation [...]

Artificial Intelligence

2009 ◽  
Author(s):  
David L. Poole ◽  
Alan K. Mackworth
Keyword(s):  
Artificial Intelligence
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