Survey of Machine Learning Methods Applied to Urban Mobility
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09734743.pdf?arnumber=9734743
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. 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
4. DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition;Big Data Analytics and Knowledge Discovery;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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