anafisa / NYC-Taxi-Demand-Prediction
The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.
☆24Updated 3 years ago
Alternatives and similar repositories for NYC-Taxi-Demand-Prediction:
Users that are interested in NYC-Taxi-Demand-Prediction are comparing it to the libraries listed below
- Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"☆19Updated 3 years ago
- Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain☆19Updated 2 years ago
- The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"☆21Updated last year
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆29Updated 4 years ago
- This is a list of useful information about urban mobility prediction. Related papers, datasets and codes are included.☆21Updated 2 years ago
- Transportation data online prediction☆47Updated 3 years ago
- optimizing locations of electric vehicle charging stations in the city of Toronto☆29Updated 2 years ago
- This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…☆27Updated 6 years ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆21Updated last year
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆31Updated last year
- ☆86Updated 2 years ago
- This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use c…☆22Updated 4 years ago
- Supply Chain Optimization with Python☆84Updated 3 months ago
- This repository contains all the code and data used in our article titled “Estimating international trade status of countries from global…☆10Updated last year
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- This is code for 3D Dynamic Graph Convolutional Networks for Crowd Flow Prediction☆18Updated 5 years ago
- ☆19Updated 4 years ago
- Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs☆19Updated 10 months ago
- Robust Supply Chain Network with Monte Carlo Simulation☆27Updated 3 months ago
- A time-series, regression problem to find the number of pickups, given coordinates in NYC.☆9Updated 4 years ago
- A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…☆19Updated 3 years ago
- ☆18Updated 4 years ago
- Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.☆30Updated 4 years ago
- Inventory Management for Retail — Deterministic Demand☆16Updated 3 months ago
- An analysis, with a focus on demand forecasting, of transactional data associated with over 2.5 million customers and 31,868 SKUs over th…☆13Updated 4 years ago
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated 6 months ago
- Crawl traffic data from PEMS☆10Updated 3 years ago
- Multivariate time series prediction using LSTM in keras☆33Updated 7 years ago
- Stacking of individual Ensemble methods to predict Bike Rental count at any hour of the year☆14Updated 5 years ago
- traffic flow prediction☆23Updated 2 years ago