Table of Contents

1. Project Overview
2. Project's Outcome
3. Contributions
4. Limitations
5. Future Work

Project Overview

This is the research project for my Advanced Data Structure class under the topic: Utilize Kruskal's minimum spanning tree algorithm to construct a public transportation system. At the end, 25-minute presentation was required with a powerpoint slides in IEEE format. The project is inspired by the public transportation system in Bangkok, my hometown.

Project Goals

This project aims to extend public transportation access across LA County, providing viable alternatives for commuting without relying on cars.

Project's Outcome

Note: The schematic map is not up to scale

The final outcome is the combination of implementing Kruskal's MST algorithm multiple times with different datasets.

• There are a total of 74 stations divided into 9 color lines
  • Orange Line: 16 stations
  • Yellow Line: 8 stations
  • Light Green Line: 11 stations
  • Dark Green Line: 10 stations
  • Red Line: 18 stations
  • Pink Line: 12 stations
  • Purple Line: 10 stations
  • Light Blue Line: 8 stations
  • Navy Blue Line: 7 stations

Contributions

The project has 3 major contributions

• Economy

  • The purpose is to connect small cities with lower populations to the economic powerhouses of larger cities.
  • It enhances economic opportunities for residents in smaller communities
  • It also actively contributes to reducing economic disparities between these regions.

• Accessibility

  • The system prioritizes accessibility and inclusivity, ensuring that a wide demographic can benefit from its services.
  • The commitment to accessibility extends to people with disabilities, low-income group, and people who are living in the remote areas.

• Traffic

  • Reduced traffic congestion leads to shorter commute times
  • The aim is to improve productivity and the overall quality of life for LA County residents.
  • The system prioritizes road safety to reduce the chances of accidents while driving.

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"A developed country is not a place where the poor have cars. It's where the rich use public transportation."

-- Gustavo Petro

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Limitations

• Single Algorithm Approach

  • A combination of algorithms could better address the complex and multifaceted challenges in transportation planning.

• Geographical Region

  • The project does not encompass a detailed analysis or accounting for the unique geographical characteristics of Los Angeles County.

• Budget Constraints

• Building and maintaining public transportation infrastructure require substantial financial resources.

• The project may not address the financial feasibility of the proposed system.

Future work

• Expansion of Destination Points

  • Add more destination points, especially in the South LA region, that are spread across LA County. Also, connect the routes with the existed bus and metro lines in LA county.

• Geographical Considerations

  • Take into account geographical features and constraints when expanding the transportation network.

• Interactive Map

  • Incorporate an interactive map displaying the transportation network that users can easily see it in real time.