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- Robert Ferlis
- Federal Highway Administration
- Office of Operations Research and Development
- Mobility and Environment Workshop
- Arlington, Virginia
- November 30, 2010
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- 2.9 billion gallons of wasted fuel each year => 3 weeks worth of gas
for every traveler
- Transportation accounts for approximately 28% of US greenhouse (GHG)
emissions
- Vehicles represent nearly 80% of the CO2 emissions
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- Vision
- Transform environmental management of the transportation system by
facilitating green choices by transportation system users and operators
- Objectives
- Support generation, capture, standardization, and use of real-time data
from connected travelers (e.g., pedestrians, bicyclists, transit
passengers), vehicles (light vehicles, transit, freight) and
infrastructure
- Leverage existing research to determine most effective use of
Intelligent Transportation Systems (ITS) to reduce negative
environmental impacts
- Assess whether further investment is justified for addressing future,
long-range efforts to conserve energy, address air quality issues, and
mitigate other environmental impacts
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- USDOT’s IntelliDrive AERIS Program Research Focus
- Improve air quality, and reduce greenhouse gas (GHG) emissions and fuel
consumption
- US-EU Sustainability Working Group Research Focus
- Reduce negative environmental impacts, improve mobility benefits, and
enhance societal benefits
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- Traffic Signal Coordination
- Emissions reduced by up to 22% (National Traffic Signal Report Card)
- Ramp Metering
- Emissions decreased by 3-8% on typical day and 2-3% on high demand day
(Minneapolis, MN)
- Speed Management
- NOx emissions reduced by 17% by reducing speed limit from 65 mph to 55
mph on Ozone Action Days (Austin, TX)
- Incident Management
- Saved 5 million gallons of fuel by reducing incident duration by 28%
(CHART, MD)
- Transit Signal Priority
- Fuel consumption reduced by 2% to 19%, and bus emissions by up to 30%
(Arlington, VA; Eastleigh, England; Helsinki, Finland)
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- Electronic Toll Collection
- Emissions reduced by more than 16% at plazas with electronic toll
systems (Baltimore, MD)
- Low Emissions Zone
- 13% reduction in NOx and 15% reduction in PM (London
Congestion Charging Zone, 2002 vs. 2003)
- 30% reduction in PM emissions (Milan Access Control Scheme
- Green Enhanced Navigation
- 8% reduction in fuel consumption by using fuel-optimized route
- Advanced Driving Alert System (ADAS) for “Time-to-Red” (TTR)
- 12-14% reduction in fuel consumption (CA)
- Adaptive Cruise Control (ACC)
- 10% reduction in fuel consumption (Southeast Michigan)
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- Improve flow of vehicles (cars, trucks, buses, trains) to minimize
emissions
- Minimize accelerations (specially hard accelerations)
- Maximize optimal speeds (varies by emission)
- Meet travel demand through lower emission modes
- Enhance transit, bike and pedestrian attractiveness to increase mode
share
- Enhance economic competitiveness of rail over truck travel
- Make full use of engine diagnostics and information to minimize vehicle
emission rates under full range of operating conditions
- Reduce the amount of travel by fossil fueled vehicles
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- AERIS must discover where Mobility and Environment can work together,
and where they diverge, and this workshop audience can help
- The DMA program and breakouts focus on apps/scenarios that provide
maximum mobility benefits, and which might also benefit environment
- The AERIS program must focus on apps/scenarios that provide maximum
environmental benefits, even if reduced mobility is a result
- AERIS will quantify the environmental benefits from apps/scenarios
derived to help mobility (from DMA) as well as to help environment (from
AERIS)
- This research will provide authoritative information on these benefits
so that tradeoffs between mobility and environmental benefits can be
understood
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- Improving mobility doesn’t always imply increased emissions or fuel
consumption
- Most applications prioritized at the previous breakout session can
likely reduce emissions and fuel consumption (e.g., transit signal
priority or drayage optimization)
- BUT, emissions and fuel consumption can also be reduced by strategies
that can negatively impact mobility or productivity:
- Charging motorists a fee to enter a restricted zone can severely impact
mobility (London, Milan)
- Restricting heavy vehicles entry into the city center can reduce
productivity (Prague)
- Dynamic route guidance based on fuel optimization may not be the best
alternative for individual mobility
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- Assuming that AERIS finds that tradeoffs between mobility and
environmental benefits are likely, the research must determine:
- For what apps/scenarios do these occur, and with what impacts?
- If the mobility and environment are in conflict, how can we balance?
- What techniques might be used to manage the tradeoffs?
- Must the tradeoffs be managed all the time, or just in certain
situations?
- What are the minimum thresholds that must be met for BOTH the
environment and mobility in order for an app/scenario to be acceptable
for deployment? (and system-wide or individual person?)
- How can AERIS best model and evaluate these?
- How can the environmental and mobility communities work together?
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- AERIS has just awarded seven (7) projects from the Broad Agency
Announcement, with objectives to:
- Foster innovative research on ITS applications that improve
environmental performance
- Promote capture and management of real-time data that are relevant to
environmental applications development and performance measurement
- Support development and enhancement of evaluation techniques,
performance measurement, and technologies to capture
environmentally-relevant data
- AERIS will also identify and assess applications and strategies that
reduce negative environmental impacts
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