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Course Project

ASHOKA

Project (City Planning)

❝How can we create a simple and accessible transportation system to make travel easier and more efficient for everyone?❞

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❝How can we create a simple and accessible transportation system to make travel easier and more efficient for everyone?❞

ASHOKA

Business Cases

A real-time bus and metro tracking app that minimizes waiting times and optimizes routes based on traffic conditions.
Kavya V Uppin
A system where people can rent bicycles for seamless travel to and from transit stops.
Anusha U Shigihalli
Traffic lights that adjust their timings, based on how many vehicles are waiting.
Ananya V Hiregoudar
A simple app to help people find others going the same way to share rides.
Rithika N Patil
A map that shows safe walking and cycling paths in the city.
Anusha U Shigihalli & Rithika N Patil
A unified digital payment platform for all modes of transportation (buses, metros, e-scooters).
Kavya V Uppin & Ananya V Hiregoudar

My

Business Cases

A system where people can rent bicycles for seamless travel to and from transit stops.
Anusha U Shigihalli
A map that shows safe walking and cycling paths in the city:
Anusha U Shigihalli & Rithika N Patil

Algorithm’s

Map Map

My Business Cases:

  • A system where people can rent bicycles for seamless travel to and from transit stops:
    The system where people can rent bicycles for seamless travel to and from transit stops relies on algorithms to manage bike availability and routing. It optimizes bike assignment, route calculation, and real-time data processing to minimize travel time and adjust prices during peak hours. Redistribution of bikes between stations is also optimized to minimize costs and time.
    Probable Tools:
    Hashmap and Greedy Algorithms (Knapsack Problem, Huffman Coding, Prim’s Algorithm, Kruskal’s Algorithm, Dijkstra’s Algorithm) Why Kruskal’s Algorithm?
    Kruskal's algorithm is ideal for optimizing bike redistribution by minimizing connection costs between stations. Its edge-based approach works well for sparse station networks, ensuring cost-effective and balanced resource allocation.
  • A map that shows safe walking and cycling paths in the city:
    A map that shows safe walking and cycling paths uses graph algorithms to represent roads and intersections as nodes and edges. It calculates the safest and shortest routes based on factors like traffic, road conditions, and accidents. Real-time data, such as road closures, is incorporated to ensure the most efficient and up-to-date route suggestions.
    Probable Tools:
    BFS, DFS, Bellman-Ford. why Bellman-ford Algorithm?
    The Bellman-Ford algorithm is suitable because it handles graphs with negative weights, which can represent safety risks or hazards. It efficiently calculates the shortest and safest paths while accommodating dynamic updates like real-time road closures or conditions.
Sustainable Development Goals (SDGs) For

A system where people can rent bicycles for seamless travel to and from transit stops

SDG 9: Industry, Innovation, and Infrastructure
This system supports the development of resilient infrastructure and promotes innovation by using technology and algorithms for optimizing bike availability and routing.

SDG 11: Sustainable Cities and Communities
The bicycle rental system contributes to creating sustainable urban mobility options, reducing traffic congestion, and making cities more livable by promoting environmentally friendly transportation modes.

SDG 13: Climate Action
By encouraging the use of bicycles as an alternative to cars, this system reduces greenhouse gas emissions, contributing to efforts to combat climate change.

SDG 7: Affordable and Clean Energy
The system supports energy-efficient transportation solutions by promoting non-motorized, clean energy transportation modes.

SDG 3: Good Health and Well-being
Cycling promotes physical activity, contributing to better health and well-being for individuals using the system.

Sustainable Development Goals (SDGs) For

A map that shows safe walking and cycling paths in the city

SDG 9: Industry, Innovation, and Infrastructure
By using graph algorithms and real-time data processing, this system fosters the development of smart infrastructure that improves the overall mobility experience in cities.

SDG 11: Sustainable Cities and Communities
The map helps create safer and more inclusive cities by providing safe and accessible walking and cycling paths, contributing to urban resilience and sustainability.

SDG 13: Climate Action
Encouraging the use of safe walking and cycling paths as alternatives to car use helps reduce emissions and contributes to mitigating climate change.

SDG 3: Good Health and Well-being
Promoting safe walking and cycling paths encourages physical activity and reduces the risk of accidents, leading to healthier lifestyles.

SDG 10: Reduced Inequality
By providing safe pathways for walking and cycling, the map ensures that all residents, including those with disabilities or limited access to motorized transport, can access public spaces and services more equally.

Developed by
Anusha U Shigihalli

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