Best Driver: Modifying

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16 Νοε 2013 (πριν από 4 χρόνια και 6 μήνες)

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Making Every Driver Your
Best Driver: Modifying
Behavior to Improve Fuel

Tad Pearson, Manager

Transportation and Fleet Management Logistics

, Principal Research Scientist

Human Factors & Instrumentation and Controls Department

June 26, 2012

4,000 Scientists & Support Staff

890 Sq. Mile area

most facilities are 50
miles from local communities

94 Motor Coaches transport over 3,000
employees each workday.

Idaho National Laboratory

Our Strategy for Reducing Petroleum

Increase Lab’s Use of Alternative
Fuels (B20 and E85)

Modify and Right
size the INL
Vehicle Fleet (GSA Bus Lease)

Improve the Efficiency of Bus
Operations (Park and Ride)

Aggressively Track and Reduce
Fuel Use (Idling and Driver

INL Fossil Fuel Reduction

*FY2012 Numbers Extrapolated

2012 Fossil Fuel Reduction

Fuel reduction for 2012 has been dramatically lower than target
values to meet the Executive Order.

Cumulative total of reduction for the year has been 110,000 gallons,
and is estimated to be approximately 170,000 gallons
compared to
targeted reduction
at the end of the fiscal year.

Utilization has decreased in the bus fleet, and is extrapolated to
decrease by 93,000 miles. (This change is mostly due to
consolidation of routes, removal of routes, and park and ride).

In addition, reduction of idling time, driver education and behaviors,
and tele
work initiatives (such as online meetings instead of on
remote work, etc.) has helped to reduce total fleet utilization.

Reduced number of buses from 103 in FY2011 to 94 current.

Possible through GSA lease of over fifty new 55 passenger
motor coaches.

Continuing efforts for fossil fuel reduction

New, more efficient buses.

2 mpg better per bus.

Idle time reduced to 10 minutes via auto

Bus simulator research with drivers to improve fuel economy
through changing driver behavior.

Usage of B20 year round.

Use of additives to prevent gelling extreme winter conditions

Research into new technologies for mixed fuel (CNG + B20)

KeyValet Automated Motor Pool:

Better information to help us right
size light fleet while
maintaining customer needs.

Note: These efforts will reduce the use of alternative fuel

INL Fleet Resources


“10% reduction in fuel = $500k savings annually

Reduce dependency on foreign oil

Fleet Resources

Professional Drivers

Many with over 1 million miles of safe driving

94 Motor coaches

Transport thousands of passengers 100 miles each workday

Standardized routes (repeatability of driving conditions for
different driving styles)

Full system data recorded every second of operation

Full Shop

Highly skilled mechanics

Over 25 years of maintenance logs

Numerous hybrid, electric and alternatively fueled vehicles

The Center for
Advanced Energy
Studies is a research
partnership between
Boise State University,
Idaho National
Laboratory, Idaho
State University and
University of Idaho.”

Center for Advanced Energy Studies


Program Manager, CAES



June 26, 2012

Development and Demonstration for
National Fuel Efficiency


U Idaho




The Partners

Provide a sound technical basis for improvements in INL
fleet transportation driver and fuel efficiency

via information presentation and visualization based
on learning algorithms, real time data analysis, and

Determine improvements

that could be implemented

DOE fleet wide

Increase collaboration

with University of Idaho

faculty and graduate students

Objectives of work

The Human Factor………. Approaches

Competency testing

Self observation use data logs or voice recorder

Conduct quality circles, debrief drivers, condition against
aggressive driving and dominance

Shore up training and licensing

Provide better visibility in vehicle and when designing

Provide additional safety devices

Law enforcement

Improving risk assessment and bias and perception

Provide more or different information (Beyond IMPG)


accessed June

Source accessed June 2012


Maintenance (breaks, alignment, synthetic oil)

Gear choices (for manual switching, not likely) for the motor coach fleet

Regenerative braking (think hybrid vehicles)

Driver Strategies

Try to reduce acceleration and braking to what is really needed

Adjusting speed prior reaching the traffic light


Anticipate the actions of other drivers

Burn and coast, also called burn and glide (research on vehicle inertia,
idea is to reduce fuel consumption to zero during the glide)

Difficulties if you have an automatic transmission (torque converter
lockup problems)

Model historical performance, data mine, then introduce predictive displays

Basics for Improving Efficiency

VirtualBus Simulation Available in Exhibitors Hall

Interactive software simulation of longitudinal dynamics of D
Series bus (MCI Motorcoach)

Physical model of the environment: gravitation force, rolling
friction force, aerodynamic drag force, engine force, breaking force

Integrated with Beta driving simulator human machine interface

Serves as a development platform for Intelligent Driver System

Good Reviews on this simulation from Industry: Mercury fleet
consultants and MCI (motor coach provider through GSA)

**Strong interest from INL motor coach drivers

Technical Aspects

1 Simulation

Technical Aspect 2

System schematic for real time data collection and analysis

Data Collection at INL

Sample GPS and Vehicle Data

University and Industry Involvement

University of Idaho Computer Sciences

Milos Manic Associate

Graduate Students Supported




PhD Candidates in

Industry Interest

I/O controls,
, MCI, Mercury,

Interest from MCI (leading supplier of motor coaches)

Considering donating cab to CAES for simulation improvements

Interest in tasking with CAES on driver efficiency


Highway mapping with LIDAR using the current team & GPS

Potential for Nationwide Repair Center Concept for MAC, PETERBUILT, Freightliner
& Automobiles

Data parsing established using vehicles at California repair facility

Possibility to pull data off on Allison transmissions,

repair vehicle,

read sensor data and

determine if repairs are successful


has devices on MCI buses that read CAN bus data and has a
processor, an upgrade might be able to run our software when complete. They are on
100,000 coaches nationwide

Potential to Lead to Outside Tasking:

At INL, we’re driven to save.

Contact Information

David Gertman

Principal Research Scientist 208

Jeff Brown

Bus Operations Supervisor 208

Dr. Milos Manic

University of Idaho Associate Professor

Raymond Grosshans, Deputy Director CAES