Artificial Intelligence for Smart Cities
Artificial Intelligence for Smart Cities
The City of Los Angeles is very known for its diverse cultures and timeless night-life. However, it is also infamous for the dreaded traffic and air pollution. Hence, the City of LA and LADOT have collaborated with CSULA to apprehend these grand problems. As part of a stepping stone that Los Angeles City have taken in preparation of the Olympics 2028 whereby we presume traffic and air pollution will may worse. Apart from preparing for the Olympics, this project is one of the many that will assist the Los Angeles City and The LA Department of Transportation (LADOT) in achieving Vision Zero, which purposes to end all traffic injuries and deaths by 2025. Thus, the objectives of this project consist of developing Artificial Intelligence (AI) based algorithms, machine learning models, and visualization frameworks that can monitor, manage, or predict the traffic and air pollution data, analyzing and visualizing the results, and designing a data preprocessing pipeline whereby city engineers can use.
Technology: AI, Data Science, machine learning, predictive models, visualization frameworks, web and mobile apps.
Role | Name | Contact |
---|---|---|
Faculty Advisor | Mohammad Pourhomayoun | mpourho@calstatela.edu |
Team Lead | Lynne Tien | ltien@calstatela.edu |
Demo & Presentation Lead | Edgar Hernandez | ehern251@calstatela.edu |
QA Lead | Gunjan Kc | gkc@calstatela.edu |
Documentation Lead | Jason Fan | jfan14@calstatela.edu |
Design & Development Lead | Luis Gonzalez Gutierrez | lgonz192@calstatela.edu |
- Jason Fan
- Luis Gonzalez Gutierrez
- Edgar Hernandez
- Gunjan Kc
- Lynne Tien
- Fall 20' Presentation
- Project Report
- SafeWays Mobile Application Code
- SafeWays beta 1.0.1
- Safeway API Code
- Software Design Document (SDD) Fall 20
- Software Design Document (SDD) Spring 21
- Software Requirements Specification (SRS) Fall 20
- Software Requirements Specification (SRS) Spring 21
- Spring 21' Presentation