CabPool — Dual-Role Ride Sharing with Route Optimization

TransportationCabPool (Internal Product)•4 months•6 engineers

The Challenge

Unlike traditional ride-hailing apps with separate driver and passenger apps, CabPool allows any user to switch between driving and riding within the same application. This dual-role model requires real-time matching algorithms that consider both route overlap and schedule compatibility, along with a fare calculation engine that handles pooled ride splitting.

Our Approach

We built the app in Flutter with Google Maps SDK for route rendering, geocoding, and ETA calculation. The matching algorithm runs on the Node.js backend, comparing ride requests against available drivers using geospatial queries (MongoDB 2dsphere indexes) and route overlap scoring. Fare calculation accounts for distance, time, vehicle type, and pool occupancy with transparent breakdowns shown to all participants. Firebase Cloud Messaging handles real-time notifications for ride matches, and in-app chat uses Firebase Realtime Database for driver-passenger communication.

Tech Stack

FlutterNode.jsMongoDBGoogle Maps APIFirebase

Key Results

✓Dual-role switching with zero app reinstallation or separate accounts

✓Route matching algorithm processing requests in under 2 seconds

✓Fare splitting engine with transparent per-rider cost breakdowns

✓Real-time ride tracking with ETA updates every 10 seconds

Features Delivered

⚡Dual Driver/Passenger Mode

⚡Smart Route Matching

⚡Fare Splitting Engine

⚡In-app Chat & Calling

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