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Statistics vs Machine Learning for Modelling Parking Systems: How the Idiosyncrasies of Each Method are Reflected in the Model Forecast

https://doi.org/10.2139/ssrn.4758758
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01168-0_4openalex-extracted
An Artificial Intelligence Based Forecasting in Smart Parking with IoT
inferredcites →https://doi.org/10.1016/j.eswa.2012.01.091openalex-extracted
Prediction of parking space availability in real time
inferredcites →https://doi.org/10.1049/iet-its.2013.0184openalex-extracted
Short‐term forecasting of available parking space using wavelet neural network model
inferredcites →https://doi.org/10.1109/access.2018.2864157openalex-extracted
Predicting Available Parking Slots on Critical and Regular Services by Exploiting a Range of Open Data
inferredcites →https://doi.org/10.1109/tits.2014.2345663openalex-extracted
Traffic Flow Prediction With Big Data: A Deep Learning Approach
inferredcites →https://doi.org/10.1109/yac.2016.7804912openalex-extracted
Using LSTM and GRU neural network methods for traffic flow prediction
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-extracted
Long Short-Term Memory
inferredcites →https://doi.org/10.3115/v1/w14-4012openalex-extracted
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
inferredcites →https://doi.org/10.3141/1836-07openalex-extracted
Optimization of Dynamic Neural Network Performance for Short-Term Traffic Prediction
inferredcites →https://doi.org/10.3182/20060829-3-nl-2908.00006openalex-extracted
AN UNSCENTED KALMAN FILTER FOR FREEWAY TRAFFIC ESTIMATION
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-extracted
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1506.05163openalex-extracted
Deep Convolutional Networks on Graph-Structured Data
inferredcites →https://doi.org/10.48550/arxiv.1606.09375openalex-extracted
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-extracted
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1707.01926openalex-extracted
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
inferredcites →https://doi.org/10.5281/zenodo.1286817openalex-extracted
Advances In Deep Learning On Graphs (Gsp'18 Workshop)
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