ITE Journal - March 2020 - 49

proactive countermeasures years after the initial installation of the
adaptive system. LCDOT has also developed ways to incorporate
ATSPM into the systems engineering process for the selection of
new adaptive signal control technologies.

Foundation for Connected Vehicles
LCDOT is currently mapping out a plan for connected vehicles in
Lake County. The vision is that Signal Phasing and Timing (SPaT)
data can be broadcast to the vehicles, and in return, there is an
opportunity to get GPS data, which could move towards a paradigm
shift that could use ATSPM as a foundation for artificial intelligence
to make traffic signals more automated and as efficient as possible
from a central system standpoint. In addition to using cellular data
and utilizing existing infrastructure, Lake County is entering no
cost data sharing partnerships with third parties and universities to
develop new and innovative techniques to improve traffic in Lake
County using data from ATSPMs.

LCDOT Planning Process
LCDOT is guided by the goals and strategies outlined in the current
Lake County Strategic Plan. The highway improvement program is
a balance of the following priorities:
ƒƒ System Preservation Projects: Keeping county highway
pavements, bridges, bikeways, signals and other related items in
good conditions.
ƒƒ System Modernization Projects: Reducing delay and increasing
safety by accommodating short-term traffic growth and the
needs of non-motorists.
ƒƒ System Expansion Projects: Providing highway capacity to meet
long-term traffic needs and provide for economic development.
One tool used to program these projects is a project scoring
matrix, which includes project specific information such as crash
rates, intersection level of service (from simulation), non-motorized
components, regional significance, and project readiness. The
information is entered into a matrix, scored, and ranked against
each other. Other factors such as project cost and schedule are
factored in, but the matrix makes the process more data-driven.
The process is dynamic and updated regularly as other tools and
data become available. Instead of using simulated level of service,
LCDOT is going to use level of service generated from its ATSPM
software, and plan on using other features inside of ATSPM like
travel times, CO2 waste, annualized cost caused by vehicle delay,
vehicle queue length, and more as they become available.

Conclusion
With the cost of new construction continuing to increase and
traffic demand on the rise throughout the county, the Lake

County Division of Transportation implemented an Automated
Traffic Signal Performance Measures program. The success of the
program hinged on a three-stage process of learning with the open
sourced ATSPM software and finishing with a systems engineering
analysis that resulted in an RFP for a cloud-based solution.
The cloud-based solution allows LCDOT to conduct the SCAT
studies in-house without adding more staff, thus paying for the
new system, and saving $17,300 USD over the five-year period.
It also gives LCDOT the ability to do the SCAT studies more
frequently. This means instead of doing two to four studies per
year, the agency can potentially do most, if not all, county-coordinated systems each year. From a regional perspective, agencies
inside the MPO's jurisdiction have an approximate cost savings of
$140,000 USD per year by adding to the cloud-based system when
compared to purchasing the cloud-based system on their own.
Lake County continues to enhance ATSPMs as funding opportunities arise and is involved in national collaboration efforts under
way to increase the knowledge and implementation of ATSPMs on
a government level. itej

Acknowledgement
The advancement of Automated Traffic Signal Performance
Measures in Lake County, Illinois and the Chicago region were
assisted by the expertise of the Federal Highway Administration.

References
1.	 "Automated Traffic Signal Performance Measures (ATSPMs)," Federal
Highway Administration, January 31, 2019. https://www.fhwa.dot.gov/
innovation/everydaycounts/edc_4/atspm.cfm. (Accessed February 3,
2020).
2.	 J. R. Sturdevant, T. Overman, E. Raamot, R. Deer, D. Miller, D. M. Bullock, C.
M. Day, T. M. Brennan Jr., H. Li, A. Hainen and S. M. Remias, "Indiana Traffic
Signal Hi Resolution Data Logger Enumerations," Indiana Department of
Transportation and Purdue University, West Lafayette, Indiana, 2012.
3.	 "OSADP," U.S. Department of Transportation, Federal Highway
Administration, April 20, 2017. https://www.itsforge.net/index.php/
community/explore-applications#/30/133. (Accessed February 3, 2020).

Justin R. Effinger, P.E. (M) is a principal engineer
with the Lake County Division of Transportation in
Illinois, USA and is an expert in the field of traffic
signal and Intelligent Transportation System (ITS)
operations. Prior to joining LCDOT, he was a traffic
signal engineer at the Wisconsin Department of Transportation
Southeast Region, providing innovative traffic signal solutions.
He received a bachelor of science in civil engineering and a
master of science in engineering from the University of
Wisconsin-Milwaukee.	
w w w .i t e.or g

M a rch 2020

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https://www.fhwa.dot.gov/innovation/everydaycounts/edc_4/atspm.cfm https://www.fhwa.dot.gov/innovation/everydaycounts/edc_4/atspm.cfm https://www.itsforge.net/index.php/community/explore-applications#/30/133 https://www.itsforge.net/index.php/community/explore-applications#/30/133 http://www.ite.org

ITE Journal - March 2020

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