Route Planning Matrix

Project Overview

Built validated distance and duration matrices from raw GPS coordinates for logistics route planning. The project addressed the challenge of unreliable travel time estimates that were causing inefficient delivery scheduling and wasted mileage.

The solution included coordinate validation, multi-provider routing with fallback logic, and comprehensive error handling to ensure the logistics team could trust the data for planning decisions.

Route planning went from guesswork to data-driven, reducing wasted mileage and improving delivery window accuracy.

Key Metrics

100s

Stops Processed

O-D

Matrix Generated

99%

Validation Rate

Technical Approach

Data Validation

GPS coordinate validation and cleaning
Duplicate and outlier detection
Address geocoding verification
Coordinate precision standardization

Routing Calculation

Primary routing API integration
Fallback provider for failed routes
Traffic-adjusted duration estimates
Error logging and reporting

Technologies Used

Python Routing APIs GeoPandas Pandas OSRM Google Maps API

Deliverables

Origin-destination distance matrix
Duration matrix with traffic estimates
Validation report with error analysis
Reusable routing calculation pipeline