Cost-effective route planning in local areas public transport

Abstract

This thesis develops a public transport route planning app using AI algorithms. It helps users find not only the fastest but also the most cost-effective routes. The system is based on Taiyuan’s public transport network. It uses a multi-objective optimization method. The goal is to balance time and cost for better travel decisions. The app aims to support Taiyuan citizens in their daily commutes.