Today’s discussion
1

Achieving Outcomes

Using Flow and Link to achieve the
City's goals.

2

Analytics Dashboard

New data sources lead to new
possibilities

3

Data Management

Best practices on architecture,
privacy and more

4

Scaling Impact

Business Model, Implementation
and Project Management

1

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SIDE WALK LABS

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Flow Analytics

New approaches to data collection drive new approaches to transport
planning and operations
Real-time and historical trip data collected from
GPS-based sources replaces travel surveys. Capture
ongoing data on travel patterns and mode split from
a large cross section of travelers.

INTERSECTION

ITE SMART CITIES

Aggregated travel flows show the connection
between travel demand and infrastructure use.
Pinpoint the causes of congestion based on actual
travel patterns.

MARCH 2016

CONFIDENTIAL

4

4

 Flow Analytics

Potential for new approaches

Real-time

Support roadway
management/operations with realtime and historical understanding
of traffic patterns and roadway
conditions. Support and analyze
impact from changes to
infrastructure and traffic
management policies in real-time.

INTERSECTION

Transport/Traffic
Impact Assessments

Data on existing travel patterns
enables faster and more precise
traffic impact assessments. Follow
up on past assessments to monitor
performance without conducting
new traffic studies.

ITE SMART CITIES

MARCH 2016

CONFIDENTIAL

Long-range Planning

Improve the maintainability and
precision of regional transport
models with better
understanding of travel demand
in connection with land use.

5

5

 Flow Analytics

1. Improve transport operations and traffic management

Complete and current view
of roadway conditions

Trace congestion back to its
source

Ground-truth conditions by
integrating existing sensor
with new data sources

INTERSECTION

Support roadway management/operations with real-time and historical
understanding of traffic patterns and roadway conditions.

Data origin/destination flows connected to routes helps illuminate the
specific causes of roadway congestion. Support targeted transportation
demand management interventions and plan new infrastructure based
on real-world data.
Combine existing roadway sensors with GPS-based data sources to
measure both travel speeds and volumes for every roadway segment.

ITE SMART CITIES

MARCH 2016

CONFIDENTIAL

6

6

 Flow Analytics

2. Automate traffic impact assessments

Create traffic impact
assessments on the fly

Improve traffic impact assessments by leveraging existing data on travel
patterns. Automate data collection and basic analysis functions.

Site-level VMT and traveldemand impact assessment

Create fine grained understanding of travel demand without the need
to edit complex regional travel models.

Engage stakeholders with
interactive analysis and
modifications

Data travel patterns allows rapid prototype site and transport designs
with real-time feedback on impact. Share data and analysis with
stakeholders to drive engagement in planning and review process.

INTERSECTION

ITE SMART CITIES

MARCH 2016

CONFIDENTIAL

7

7

 Flow Analytics

3. Integrate transport and land use planning

Explore connections between
land-use and travel demand

INTERSECTION

Empirical analysis of travel demand linked to land use informs development
impact policies and long-term infrastructure planning. Support TOD with
insight about mode split and travel demand.

ITE SMART CITIES

MARCH 2016

CONFIDENTIAL

8

8

 Today’s discussion
1

Achieving Outcomes

Using Flow and Link to achieve the
City's goals.

2

Analytics Dashboard

New data sources lead to new
possibilities

3

Data Management

Best practices on architecture,
privacy and more

4

Scaling Impact

Business Model, Implementation
and Project Management

9