NATIONAL TRAFFIC SURVEY
First, understandhow a city moves.
A better model begins with better evidence. Designing the methodology and coordinating a national network of traffic counts to validate Israel’s strategic transport models.
URBAN MOBILITY SCIENTIST · AI WORKFLOW CONSULTANT
Dr. Golan Ben-Dor
Turning real-world data into better transport decisions. Bringing the same systems thinking to practical AI workflows.
Working with the Ministry of Transport, Netivei Ayalon, Netivei Israel, the Jerusalem Transportation Team and the Central Bureau of Statistics.

SCIENCE. SYSTEMS. REAL-WORLD IMPACT.
IN COLLABORATION WITH




THE QUESTION BEHIND THE WORK
Every network tells a story. Data helps us read it. Simulation helps us explore what happens next.
01 — FROM DATA TO DECISIONS
Follow the work from the national network to the individual journey.
NATIONAL TRAFFIC SURVEY
A better model begins with better evidence. Designing the methodology and coordinating a national network of traffic counts to validate Israel’s strategic transport models.
JERUSALEM · POLICY EVALUATION
What changes when we price congestion, adjust parking, or introduce shared autonomous vehicles? Agent-based models let us examine the trade-offs before making the decision.
BRT · CORRIDOR PLANNING
Translate the model into a practical planning question: how could a new BRT corridor change travel demand and mode choice? Test the Pink Line with Replan and Netivei Ayalon.
02 — THE THINKING BEHIND THE WORK
Different challenges, one approach: understand the system, test the possibilities, make the work better.
From national data infrastructure to corridor-level models. Evidence for the decisions that shape how we move.
Bring systems thinking into everyday work. Practical consulting and workshops built around real organizational challenges.
03 — THE PERSON BEHIND THE MODELS
RESEARCH INTO CONVERSATIONI’m Golan, a transport simulation scientist with a PhD from Tel Aviv University. I work at the intersection of research, public-sector consulting and hands-on development.
The thread through it all: making complex ideas useful. From evaluating transport policy to helping teams find better ways to work with AI.
RESEARCH, PRACTICE & EVERYTHING BETWEEN
Netivei Ayalon & Ministry of Transport · via Eshed
Corporate training & consulting
Geosimulation Lab · Tel Aviv University
Tel Aviv University
TOOLS BEHIND THE WORK
EVIDENCE WORTH SHARING
2024Congestion pricing and parking policy in Jerusalem.
Transportation Research Part A
2023A parallel framework for large-scale transport simulation.
Simulation Modelling Practice and Theory
2021Understanding the trade-offs between scale and accuracy.
Simulation Modelling Practice and Theory04 — IDEAS IN MOTION
Research grows through conversation. From Tel Aviv to Chicago, Singapore and Berlin: presenting, teaching and exchanging ideas about how our cities move.
Tel Aviv · Jerusalem · Chicago · Singapore · Munich · Lyon · Stockholm · Warsaw · Porto · Leuven · London · Manchester · Vilnius · Limassol · Orlando · Berlin
SELECTED RECOGNITION
2022
Selected from 1,700 applicants worldwide.
2019
Represented Tel Aviv University in Chicago.
2023
PhD excellence scholarship.
IN THE ROOM
Keynotes, workshops, research meetings and the people behind the work.

Strategic meeting
Presenting the National Traffic Monitoring Platform.
Photos advance automatically
05 — WATCH & DISCOVER
Media interviews, conversations about AI and a look inside the classroom: sharing the knowledge behind the work.
A conversation about public transport and urban mobility.
Hebrew audio · subtitles unavailableInterviews & lectures01—04
IN THE NEWS
Selected national coverage
Calcalist
1 May 2024Coverage of the Tel Aviv University MATSim study that modeled congestion pricing and parking policy for central Jerusalem.
Read the articleTheMarker
19 February 2020A simulation of shared autonomous vehicles shows why on-demand fleets cannot replace high-capacity public transport.
Mako
Research on demand-responsive transit, tested with agent-based simulation before any service is launched.
06 — THE NEXT CHAPTER
A transport challenge. An idea for an AI workflow. A research question worth exploring. Let’s start a conversation.