A Real-Time Model for Pedestrian Flow Estimation in Urban Areas based on IoT Sensors

Author:

Khoshkhah Kaveh1,Pourmoradnasseri Mozhgan1,Hadachi Amnir1

Affiliation:

1. Institute of Computer Science, University of Tartu,ITS Lab,Tartu,Estonia

Funder

European regional development fund

European Social Fund

Publisher

IEEE

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. COVID-19, From Lockdown to Recovery: Exploring the Dynamics of Bike-Sharing and Public Transport in Tartu, Estonia;Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility;2023-11-13

2. Near-real-time dynamic noise mapping and exposure assessment using calibrated microscopic traffic simulations;Transportation Research Part D: Transport and Environment;2023-11

3. Leveraging IoT data stream for near‐real‐time calibration of city‐scale microscopic traffic simulation;IET Smart Cities;2023-10-31

4. Road Condition Anomaly Detection using Self-Supervised Learning from Audio;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

5. Readiness of urban design projects for integration with big data. Case study: humanizing neighborhoods initiative—KSA;Smart and Sustainable Built Environment;2023-07-25

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