miro holecy global cto for transportation 31st may 2017

MiroHolecyGlobalCTOforTransportation

31st May2017

https://www.youtube.com/watch?v=K564rXrlZbc

TogetherforSaferRoadsDemonstration– CityofAtlanta,Georgia,USA

ImprovingRoadSafetyThroughAnalytics

Collision Risk Forecasting Alerts & Root Cause Analysis

1. Data Aggregation and Visibility: summarize collision findings from multiple data sources

2. Root Cause Identification: Determine the root causes that impact collision risk levels across the three dimensions. Examples include weather, traffic, infrastructure, driver profiles and neighborhood characteristics

3. Forecast Risk Indices/Warning Alerts: Develop models that predict risk levels for collisions locally through geospatial clustering models

Atlanta PoliceOfficers use warning alerts to understand

high risk collision areas

\

Traffic ControlTraffic engineers / IOC

managers will make road and traffic

changes to control vehicle throughput

Work Order and Inventory

Police Reports

911 Calls Fire and EMS Response

Census Data

Transit

Weather

Demographics

Geo-Spatial Cluster A: Low residential population, high traffic, frequent events

Risk Indices:•Rates of collisions per day•Severity of collisions•…

…

• Upcoming concert• Forecast of heavy rain

Construction

InclementWeather

Events

Root Causes

Example UsersUse Cases

5

Singapore- PublicTransportValueProposition

Singapore– TransitEventManagementSolution

Singapore– TransitEventManagementSolution

CityofStockholm– Vision2040&GrowSmarter

Ø Geografical mapping of data

Ø Traffic measurements flow, speed,..

Ø Bicycle measurements flow, speed..

Ø Accident data– time, place,..

Ø Local weather condition data

Ø Select, combine, visualize, analyze..

Ø Define & store your own project views

Ø Generate your personalized reports (pdf)

PlatformRequirements

CityofStockholm– Vision2040

Co-created Methods

16

Thankyou!

Twitter@miroholecy