Ministry of Transport · National Travel-Time Project
Digital Road Network Basemap
How I built a production-ready system that creates accurate digital basemaps of urban road networks — the foundation for measuring real travel times across Israel's major cities.
Follow the storyThe question
From Raw Road Network to Production-Ready Basemap
To measure how traffic really flows through a city, you first need a precise digital map of every road segment — in each direction of travel. Off-the-shelf maps aren't accurate enough for that. So I built a system that creates these 'basemaps' from scratch, for Tel Aviv, Jerusalem, Haifa and Be'er Sheva.
- My contribution
- Building the road-network preparation and visual review workflow.
- The deliverable
- Directed road segments with a repeatable process for inspecting route mismatches and reviewing corrections.
- What it enables
- Preparing a consistent geographic foundation for travel-time measurement.
The approach / 01
At the start of the process, the city's road network is loaded and broken down into directed segments — a two-way street becomes two separate one-way links, each with its own unique ID.
The approach / 02
Each segment is then compared against real-world driving routes. The system automatically measures how well the two geometries match, and flags every mismatch.
The approach / 03
A dedicated visual review interface lets an analyst inspect each flagged segment on an interactive map, fix it with a few clicks — adjust endpoints, add waypoints, re-check — and approve it. Keyboard shortcuts make reviewing hundreds of segments fast.
The approach / 04
The result: a validated, export-ready basemap that feeds the national travel-time measurement system.
The evidence
The System in Action
A walkthrough of the basemap creation and review workflow.
What you are seeingThe review interface: inspect the road segment, compare the route and review its geometry before export.
One road. A decision you can inspect.
A real segment from the Tel Aviv review recording. Switch between the edited endpoints and the returned route alternative.
The endpoints define which part of the road the measurement should represent.
The approach
Built AI-Native, End to End
I built this entire system — the data processing, the interactive review interface, the automated test suite, and the production deployment — using AI-native development workflows with tools like Claude and Codex. AI didn't just write code snippets; it powered the full cycle: architecture, implementation, automated testing, and production hardening. This is exactly the workflow I teach in my AI lectures and consulting.
Why It Matters
From evidence to a decision.
A consistent road network is the foundation for interpreting travel-time measurements. The workflow makes route mismatches visible, supports review and correction, and produces an exportable basemap through a repeatable process.
Every travel-time measurement is only as good as the map underneath it. This system makes sure that map is right.Get in Touch
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