DATA MODE LOADING
PUBLIC DATA FOR MOBILITY DECISIONS

Where could autonomous mobility go next?

ODDyssey combines public transportation, infrastructure, climate, road-network, and demographic data to screen U.S. metropolitan areas and explore hypothetical fleet scenarios.

How it works
Nashville skyline at sunsetClimateMobilityRoad networkInfrastructurePopulation
City imagery: Unsplash · Illustrative visual context
SCREEN BROADLY. UNDERSTAND LOCALLY.

Three lenses. One clearer picture.

ODD Familiarity

How similar are observable climate, commuting, and road-network conditions to enabled reference markets?

Infrastructure

What public charging infrastructure is visible across the metro?

Opportunity

What do population, density, and transportation patterns suggest about market opportunity?

From market screening to a hypothetical scenario

01 RANKING

Expansion Screening

No ranked markets in this release

02 CITY ANALYSIS

7-day scenario

Illustrative example · mock values

6,420rides
4.8maverage wait
03 SIMENGINE
OUR PRINCIPLES

Built to show its work.

01

Public data

Verified measurements retain their source and provenance.

02

Transparent scoring

Weights, factors, and assumptions remain visible.

03

Reproducible simulation

Same scenario and seed. Same result.

04

Clear boundaries

Screening is not autonomous-driving safety validation or deployment approval.

Explore the
next market.

SIMENGINE

What would a fleet
look like here?

Select a market

DATA RELEASE LOADINGMODEL LOADINGMOCK DATA · DEMO
Public-data market screening and hypothetical fleet simulation. Not an assessment of AV safety or deployment approval.
Connecting to market intelligence…Backend: https://odd-scout-api.onrender.com