Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring
Monthly air passengers and landings at San Francisco International Airport (SFO)
single page dashboard with key metrics, insights and visualizations on company Revenue and details of service utilization.
A blockchain application built for the EVM (Ethereum Virtual Machine). The application helps manage flight insurance for both airlines and passengers.
LKH implemented by Helsgaun with Passengers found by Mathematical Programming.
A really nice and simple tool for counting subway/train passengers built with HTML, CSS and JavaScript.
Detects the abnormal behaviors of passengers on a ship so we can prevent accidents from occurring
Route Management System For Buses Gates & Travel Agencies 💡🚌
Welcome to the Data Verification project for bus and tram passenger volume in Dublin and Basel.
This R script visualises the top 15 Swiss train stations by average daily traffic (boardings and alightings) for 2018, 2022, and 2023. Using SBB-provided .parquet data, it filters and processes station activity, generating a bar chart to compare traffic trends across years, highlighting shifts in usage patterns.
Practice designing proper classes without using Scanner or PrintStream outside of class main.
Analyzed 100K+ passenger records to quantify satisfaction drivers, showing 56% satisfaction rate and 30–40% drop due to 15+ min delays.
A library that is havening a passenger arriving and departing node graph with and without actions on edges
An 8,479-line C++ masterpiece built back in December 2022 by a group of Grade 11 beginners. It books flights, calculates discounts, and might just qualify as an entire airline itself. Don’t worry—it works (somehow)!
Exploring passenger seat selection patterns in public buses using Expected Utility Theory, Personal Space Theory, Game Theory and other concepts.
Passengers Transport Planner turns employee shuttle and staff transport planning into a minutes-long, repeatable optimization. Your stops, shift demand, fleet catalog and constraints live in one structured workbook; a deterministic OR-Tools routing engine computes the optimal fleet plan on real road distances; a conversational assistant recomputes,
A robust forecasting pipeline for daily transportation passenger counts, combining classical time series modeling with deep learning for superior accuracy and reliability.
Self-Organization of Distributed Autonomous Vehicles Fleets
Build a Regression Model to Predict the Fare Amount for Uber Passengers
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