Transportation typically entails crucial “life-death” choices,
delegating crucial decisions to an AI algorithm without any
explanation poses a serious threat. Hence, explainability and
responsible AI is crucial in the context of intelligent
transportation. In Intelligence Transportation System (ITS)
implementations such as traffic management systems and autonomous
driving applications, AI-based control mechanisms are gaining
prominence. Explainable artificial intelligence for intelligent
transportation system tackling certain challenges in the field of
autonomous vehicle, traffic management system, data integration and
analytics and monitor the surrounding environment. The book
discusses and inform researchers on explainable Intelligent
Transportation system. It also discusses prospective methods and
techniques for enabling the interpretability of transportation
systems. The book further focuses on ethical considerations apart
from technical considerations.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Release date: |
August 2023 |
| Firstpublished: |
2022 |
| Authors: |
Loveleen Gaur
• Biswa Mohan Sahoo
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
90 |
| Edition: |
1st ed. 2022 |
| ISBN-13: |
978-3-03-109646-4 |
| Categories: |
Books
|
| LSN: |
3-03-109646-0 |
| Barcode: |
9783031096464 |
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