pjj11005/KT_AIVLE_Project

KT 에이블 스쿨 5기에서 진행한 프로젝트 내용들입니다

11
/ 100
Experimental

This project helps urban planners and transportation managers understand and predict public transportation needs and bike-sharing demand in Seoul by analyzing living information and weather data. It can also predict fine dust levels and waiting times for special needs taxis. The output provides insights for optimizing transit routes and services, and models for environmental and transportation forecasting. This is for city planners, environmental analysts, and public transportation operators.

No commits in the last 6 months.

Use this if you need to analyze urban data to optimize public transportation, predict environmental conditions like fine dust, or forecast demand for shared services like bikes and special needs taxis.

Not ideal if you are looking for a ready-to-deploy, generalized solution for domains outside of urban planning, environmental monitoring, or transportation logistics.

urban-planning public-transportation environmental-forecasting mobility-services demand-prediction
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 3 / 25
Maturity 8 / 25
Community 0 / 25

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Last pushed

Jan 07, 2025

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