Task Order 5314
Traffic Operations Research
Evaluate IST-222 Loop Detector System
Chao Chen
CCIT (California Center for Innovative
Transportation)
University of California Berkeley
Objective
We would like to improve the quality of loop
detector data collected by the TMC. There are many causes of bad
data. Some are caused by deteriorated installations such as a broken
loop which requires construction to fix; some are due to crosstalk,
low Q, low Meg, etc. It's possible that a number of these problems
can be solved by replacing existing 222-type detector cards with the
IST cards. In the first phase of this project, we will evaluate
whether and how much data quality can be improved, and under what
conditions, by simply replacing existing detector cards with the IST
cards, while leaving the rest of the data collection system
intact.
While a simple replacement may offer a quick improvement in data
quality, a more powerful configuration that includes a PC and
communication link may offer even more benefits. In the second phase,
we will install IST systems in this configuration at selected
locations and investigate advanced applications that can be
supported. For example, problems with the current data collection
system can be diagnosed by having a direct connection to the
detectors. Also, since the remote PC would be much more programmable
than the existing 170 controllers, it can fully exploit the
capabilities of the IST detection system and provide higher fidelity
data than currently available. Such data could further enable such
advanced applications as vehicle classification and the direct
measurement of link travel times.
Motivation
Traffic data are becoming widely used for
performance measurement and freeway control. Loop detectors provide
the majority of traffic data in California. Many loop detector
stations are old and may have deteriorated, reducing the data quality
at the TMC. If existing detector cards are used, some of these
conditions can be fixed only by expensive construction to fix the
installation or correct electrical problems. However, it is possible
that a more advanced detector card can measure traffic even with
deteriorated installations. This is an attractive alternative to
repairing physical installations because it involves only replacing
the detector card. Also, existing detector cards require complex
manual adjustments. Some data errors may be caused by cards that are
not configured correctly. The IST card requires little calibration
and does not suffer from this problem.
The IST card are able to measure distinct vehicle signatures, which,
when processed with the appropriate software, produce vehicle
classifications and direct measurements of link travel time. This
information is important in performance measurement, traveler
information, and planning. Because the required processing exceeds
the capabilities of the existing data collection system, a PC and
communication link are needed to enable these applications in phase 2
of this project.
Methodology Phase 1
We will perform a before-and-after study of
data quality to assess the benefit of the IST-222 cards. On December
10, 2003, members of the CCIT met with District 4 Maintenance and
Operations teams, who are in charge of the loop data collection
system. They expressed an interest in being able to improve data
quality without physical repairs of the loop installation. They have
some experience with the IST cards and said that the IST cards
improves data quality over existing cards in some conditions. They
have agreed to help identify candidate locations in D4 as well as
performing the installation. The following are tasks for this
phase.
1. Define data quality metric
First we need to define how data quality is measured. PeMS already
has some measures of data quality in order to analyze the data. We
will work with the district in finalizing the criteria to measure.
2. Identify candidate locations
We will identify the locations where the cards will likely be useful.
For example, locations that have no power or communications should
not be considered; locations that are reporting good data do not need
any improvement.
3. Collect before data
While PeMS stores historical data, we need to make sure the "before"
data are available from the candidate locations before we install the
new cards.
4. Install detector cards
District 4 will install the IST-222 cards at the designated locations.
5. Analysis
CCIT will collect the "after" data from PeMS and perform the before
and after study of data quality at the locations where the detectors
were replaced. This study will determine whether the replacement
improved data quality. These data will also allow us to further
categorize the malfunction conditions and identify those conditions
for which the IST-222 cards are most beneficial.
Methodology Phase 2
Phase 2 of this project investigates the
additional benefits of a complete system that includes a PC and
communications. These are the tasks.
6. Identify applications
While the PC-based configuration offers many possible applications,
we need to choose the ones to implement and test. An important
function that they provide is the ability to diagnose the existing
data path. We may explore other applications such as vehicle
classification, travel time estimation, and origin-destination
analysis.
7. Identify installation locations
We need to identify locations to install the PC-based configuration
depending on the application we have in mind. For example, to
diagnose data path problems, we would place the PC-based system at a
location where we are not getting good data; to measure travel time,
we need one system at each end of the selected freeway links, where
both locations need to meet conditions under which the IST system
provides adequate data. These locations may be different from those
chosen for Phase 1.
8. Installation
The systems will be installed in District 4 by the Traffic Operations
division.
9. Data collection
Since the PC-based configuration bypasses the existing data
collection system, the software that collects data from the field
systems and supports the classification and travel time applications
will need to be obtained.
10. Analysis
We will evaluate the performance of the system in the selected
applications. This also includes its ease of installation,
maintenance requirements, and general applicability to TMC needs.
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