Tool for planning and optimizing virtual stations in demand-responsive transport systems by defining and minimizing a global energy.
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Updated
Mar 8, 2022 - R
Tool for planning and optimizing virtual stations in demand-responsive transport systems by defining and minimizing a global energy.
This repository contains the code and analysis for the research paper "From A to B with Ease: User-Centric Interfaces for Shuttle Buses", presented at the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI Adjunct ’24).
Web client for the Bloomsburg University shuttle bus tracking system
AUT Shuttle App's Front-End Code
AUT Shuttle App's API Code
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