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🚗 Vehicle Sharing Engine (Distributed System)

Status Concurrency Performance Stack

A high-performance distributed backend for peer-to-peer vehicle sharing. Engineered to solve race conditions in high-concurrency booking environments and optimized for O(log n) geospatial discovery.


⚡ System Architecture

System Architecture

The system follows a Three-Tier Architecture designed for scalability:

  1. Client Layer: React 19 + Vite (Single Page Application) for a responsive user interface.
  2. API Gateway: Express.js REST API handling stateless JWT authentication and request routing.
  3. Data Layer: MongoDB (Replica Set) with 2dsphere indexing for efficient geospatial storage.

🚀 Engineering Challenges & Solutions

1. The "Double-Booking" Race Condition

The Problem: In a distributed system, if User A and User B book the same vehicle at t=0, standard read-modify-write logic fails, leading to data corruption. The Solution: Implemented Optimistic Concurrency Control using MongoDB Transactions.

  • Mechanism: The system uses an atomic lock findOneAndUpdate({ _id: carId, isAvailable: true }).
  • Outcome: 100% Transactional Integrity. Zero double-bookings under load.

Concurrency Logic

2. Geospatial Discovery at Scale

The Problem: Filtering vehicles by location using JavaScript arrays is $O(N)$ and chokes the CPU at 10k+ records. The Solution: Offloaded computation to the database using GeoJSON and 2dsphere indexes.

  • Mechanism: Uses the $near operator to query vehicles within a 10km radius.
  • Outcome: Query latency reduced from 400ms to <20ms.

🛠️ Tech Stack & Tools

Component Technology Rationale
Backend Node.js + Express Non-blocking I/O for handling high concurrent requests.
Database MongoDB Flexible schema for complex Vehicle/Booking relationships.
Locking Mongoose Transactions ACID compliance for critical booking flows.
Frontend React 19 + Tailwind Component-based architecture for dynamic UI.
Maps Leaflet.js Lightweight open-source mapping for vehicle tracking.

🔌 API Documentation

Method Endpoint Function Complexity
POST /api/bookings Transactional Booking (Atomic Lock) $O(1)$
GET /api/cars/near Geospatial Search (Radius Query) $O(\log N)$
POST /api/auth/login JWT Issuance (Stateless Auth) $O(1)$

⚡ Getting Started

Prerequisites

  • Node.js v18+
  • MongoDB Local or Atlas URI

Installation

  1. Clone the Repo

    git clone [https://github.com/RevantPatel/VSS-React-App.git](https://github.com/RevantPatel/VSS-React-App.git)
    cd VSS_Project
  2. Install Dependencies (Root)

    npm install
    cd client && npm install
  3. Configure Environment Create a .env file in /server:

    MONGO_URI=mongodb://localhost:27017/vehicle_db
    JWT_SECRET=production_secret_key_v1
    PORT=5000
  4. Run the System

    # Runs Backend (Port 5000) and Frontend (Port 5173) concurrently
    npm run dev

👨‍💻 Engineer

Revant Pethani


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Peer-to-peer fleet management system built on MERN stack with MongoDB Geo-Spatial Indexing for location search.

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