💗 MOLE

MOLE helps commuters plan their journey with a focus on comfort, using data analytics to inform their best course of action. Unlike standard routing apps, MOLE is designed for those who value a calmer travel experience.

Target Audience:

• Daily commuters looking for quieter routes.
• Commuters with accessibility needs.
• Tourists lacking local knowledge of crowding or station facilities.

🌟 Key Features

• Comfort-First Routing: Prioritizes lower crowding levels over pure speed.
• Live Crowding Feed: Real-time data visualization of station traffic.
• Station Amenities: View accessibility features (lifts, ramps) and facility details.
• Customizable Preferences: Filter by journey mode and specific accessibility requirements.

👩🏻‍💻 Tech Stack

• Language: R
• Framework: Shiny (Dashboard)
• Data Sources:
  • TfL API: Live transport data, station facilities, and journey routing.
  • Google Maps API: Geolocation and map display.
  • Google Weather API: Real-time weather integration.

⚒️ Installation & Usage

Prerequisites

You will need R and RStudio installed.

1. Clone the repo

   Download the zip file or clone the repository.

   git clone https://github.com/leehananne/mole.git
   

2. Setup .Renviron file

   Create .Renviron file with Google Maps API key and map style ID.

   GMAP_API_KEY =
   MAP_ID_KEY =
   

3. Install Dependencies

   In your R terminal,

   install.packages(c("ggplot2", "httr", "jsonlite", "scales", "plotly", "bslib", "purrr", "dplyr", "lubridate", "DT"))
   

4. Run the App

   Open app.R in RStudio and click “Run App”