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New York Sea Port

Multi-Modal Cross-Border Route Selector

Scenario

A small logistics provider wants a quick way to determine the best shipping route for cargo traveling across borders using different transportation modes (e.g., only air, only sea, only land, or combinations like sea-air, land-sea, air-land, and so on).

 

You need to create a tool that accepts shipment details and returns optimal routing suggestions ( a small set of ranked options) based on estimated costs, transit times, and feasibility when crossing borders.

Key Tasks

1. Multi-Modal Route Data Simulation

Prepare or simulate a small database of possible routes and modes:

Examples:

Air: Airport A → Airport B (cost, transit time)

Sea: Port C → Port D (cost, transit time)

Land: City X → City Y (cost, transit time)

  • Each segment should note which countries or border crossings are involved.

  • Include a simple capacity or size limit per mode if you like (optional).

 

2. Shipment Inputs

Allow user to input shipment details such as -

  • Origin (city/airport/port)

  • Destination (city/airport/port)

  • Cargo details (weight, volume, or just one simplified parameter)

  • Priority (e.g., do they prefer lowest cost or fastest transit?)

 

3. Route Assembly & Logic

Determine the possible multi-modal routes between the origin and the destination, and calculate the cost and the transit time required.

E.g., City X → (Land) → Airport A → (Air) → Airport B → (Land) → City Y

For each potential route, calculate:

Total estimated cost (sum of segment costs, converted to a prominent currency)

Total transit time involved including all the transfers from the origin to the destination.

Filter out the impossible routes (e.g., cargo too large for a small aircraft segment).

 

4. Ranking & Output

  • Show at least two or three top route options ranked on the basis of  their cost and estimated transit time.

  • Let the user choose if they want the fastest vs. cheapest route or see a combined ranking

 

5. User Interface

  • A simple form to input shipment data (including, but not limited to origin, destination, cargo specs, priority).

  • A results page listing route options (mode sequences, cost, time).

 

Stretch Goals (Optional)

Carbon Footprint: Provide an approximate COâ‚‚ emission estimate per route, letting users see an “eco-friendly” option.

Real-Time Updates: Simulate a small “delay” event or cost change in one of the modes and recalculate routes.

Mode-Specific Constraints: Weight limits for air vs. sea vs. land.

Perishability:  Select the mode depending on the perishability of the goods (e.g., if cargo is perishable, air might be mandatory to ensure that the cargo reaches before it gets perished)

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Evaluation Criteria

  • Completion of Objectives & Functionality

  • Business Viability & Real-World Applicability

  • Quality and Realism of Data Simulation

  • User Interface (UI) & User Experience (UX) Design

  • Innovation & Technical Complexity

Contact Us

Get in touch with us

We welcome your inquiries and feedback. Feel free to reach out to us using the following contact information:

Location
Our Location

IEOR, Indian Institute of Technology, Bombay

Phone
Phone Number

+91 - 89767 07681

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