Agricultural Routing Synthetic Data Generation
This repository provides a python script to generate synthetic location and vehicle data (csv files) for developers and researchers aiming to model and solve agricultural logistics problems such as:
This repository provides a python script to generate synthetic location and vehicle data (csv files) for developers and researchers aiming to model and solve agricultural logistics problems such as:
1. locations.csv
The Angular UI is structured around two primary sections: Domestic Flow and Foreign Flow, both accessible from the left-hand navigation menu. Each section is designed to support efficient exploration and analysis of freight data.
API access to the US Bureau of Transportation Statistics' Freight Analysis Framework dataset
This is intended as a helpful front end to a REST API to the US Bureau of Transportation Statistics (BTS) Feight Analysis Framework (FAF) dataset. It has been developed by the Data To Insight Center (D2I) at Indiana University as part of the NSF ICICLE AI Institute and in collaboration with the US Bureau of Transportation Statistics. See FAF-API-ICICLE. This project was generated with Angular CLI version 18.2.12.
For a complete overview of how to use the API, please refer to the APIREADME.md file located in the same directory. This file provides a detailed explanation of each endpoint, including:
Follow these steps in order to clone the repository, set up your environment, install dependencies, and generate the CSV files.
🌐 Accessing the Frontend