Artificial Intelligence in Highway Safety

Artificial Intelligence in Highway Safety

Das, Subasish

Taylor & Francis Ltd

10/2024

338

Mole

9781032204734

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Introduction 2. Highway Safety Basics 3. Artificial Intelligence Basics 4. Matrix Algebra and Probability 5. Supervised Learning 6. Unsupervised Learning 7. Deep Learning 8. Natural Language Processing 9. Explainable AI 10. Disruptive and Emerging Technologies in Highway Safety 11. Conclusions and Future Needs
Artificial intelligence;Deep learning;Machine learning;Highway Safety;Connected Autonomous Vehicles (CAV);Crash Analysis;Code Chunk;Crash Count;Ml Algorithm;PDP;Variable Importance Plot;Highway Safety Research;Crash Severity Analysis;Support Vector Machine;Crash Prediction Models;MPOs;Crash Data Analysis;Unsupervised Learning;NLP;Crash Data;Recursive Neural Networks;Shapley Values;DBN;Boltzmann Machine;Observed Crash Frequency;Local Surrogate Models;Blood Alcohol Content Test;Deep Learning Algorithms;Posted Speed Limit;Ai Algorithm