Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Explainable Artificial Intelligence for Intelligent Transportation Systems

Explainable Artificial Intelligence for Intelligent Transportation Systems

Adadi, Amina
Bouhoute, Afaf

Paperback

Technology & EngineeringTransportation GeneralGeneral Computers

ISBN10: 1032348534
ISBN13: 9781032348537
Publisher: CRC Press
Published: Jul 30 2025
Pages: 276
Weight: 1.10
Height: 0.60 Width: 7.00 Depth: 10.00
Language: English

Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS.

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