Survey of Machine Learning Methods Applied to Urban Mobility

Author:

Ahmed Dina Bousdar1ORCID,Diaz Estefania Munoz1

Affiliation:

1. German Aerospace Center (DLR), Institute of Communications and Navigation, Wessling, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of different machine learning approaches in the context of urban mobility: a systematic review;2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI);2023-10-29

2. Effect of network modifications on a french metropolis transportation system by agent-based transport simulations;2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS);2023-06-14

3. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition;Big Data Analytics and Knowledge Discovery;2023

4. Power Grid Sensitive Information Detection Technology Based on Internet Big Data and Machine Learning;Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1;2023

5. Kick-scooters identification in the context of transportation mode detection using inertial sensors: Methods and accuracy;Journal of Intelligent Transportation Systems;2022-11-11

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