Final
report of ITS Center project: Intelligent
Vehicle Initiative Vehicles
A
Research Project Report
For the
Center for ITS Implementation Research
A U.S.
DOT University Transportation Center
INTELLIGENT VEHICLE INITIATIVE VEHICLES
Principal Investigator
Thomas A. Dingus
Virginia
Tech Transportation Institute
3500 Transportation Research Plaza (0536)
Blacksburg VA 24061
Phone: 540-231-1505
Fax: 540-231-1555
The contents of this report reflect the views
of the authors, who are responsible for the facts and the accuracy of the
information presented herein. This
document is disseminated under the sponsorship of the Department of
Transportation, University Transportation Centers Program, in the interest of
information exchange. The U.S.
Government assumes no liability for the contents or use thereof
A final report for the National ITS Implementation Center
Authors:
Thomas A. Dingus
Andrew Peterson
Andrew Alden
VTTI’s Center for Technology Development (CTD) develops, manufactures, implements, and maintains innovative data acquisition, collection, logistics, and analysis systems in support of transportation research. CTD continues to develop innovative solutions in response to the ever more rigorous requirements of VTTI’s research centers and sponsors. These developments include, but are not limited to:
• The technical capabilities and reliability of VTTI’s current DAS have been updated to provide for increased data acquisition rates and throughput via updating of communication and processing hardware;
• Creation of CTD’s dedicated Data Collection group which is tasked with retrieving data from vehicle- and infrastructure-based DASs and performing field repairs and initial data quality checks.
• Continued development of VTTI’s new highly integrated DAS that will significantly decrease installation times, increase data sampling rates and throughput, provide corrected vehicle dynamics data, and render improved video compression and quality,
• Continued development of machine vision capabilities related to driver, vehicle, and roadway metrics.
• Increased data storage and analysis capabilities. This includes implementation of a bank of dedicated, high-speed data export and analysis computers within the Data Center.
For many
years, VTTI’s CTD has designed and refined data acquisition technologies for
large-scale studies. The Advanced
Development, Data Acquisition, and Mechanical Groups within VTTI’s CTD design,
develop, and build the data acquisition hardware, electronics, and software required
to reliably and securely collect research data required by research staff. These state-of-the-art vehicle- and
infrastructure-based data acquisition systems (DASs) are developed, built, and
tested at VTTI’s facility in Blacksburg, VA.
The current data acquisition system (DAS) comprises three general groups
of measures: (i) DAS measures, (ii) vehicle network measures, and (iii) add-on
measures. The general design
characteristics for the DAS include the following:
o Not distracting.
o Does not limit driver visibility.
o No permanent modifications to the vehicle.
o Minimal space requirement (e.g., for data storage unit).
o Automatic start-up, shut-down, and continuous operation.
o No participant intervention required for operation or data downloading.
The DAS distributed data acquisition method provides a very flexible and maintainable hardware data collection system. VTTI’s DAS can be unobtrusively installed in vehicles to facilitate naturalistic driving behavior during controlled driving on the Virginia Smart Road testbed or in naturalistic on-road settings. The DAS instrumentation is concealed from the driver as much as possible. For example, cameras are mounted behind mirrors, while wires and other data recording equipment are hidden under interior panels. The DAS is designed to facilitate a rapid installation/de-installation and great care is taken to leave the vehicle in its original condition. Also, the hardware and software design team is mindful to minimize volunteer inconvenience and to reduce in-vehicle space requirements. As such, the main system box has been designed to be small and mounted under the rear package shelf within the vehicle’s trunk (Figures 1 and 2). The vehicle network box is located under the front dashboard. The incident box that allows participants to note incidents is mounted above the rearview mirror. Wiring is run though the normal wire chases on a vehicle to all the various network nodes, as well as to the cameras (Figure 3). All of the printed-circuit boards, including the firmware and data collection software, were developed at VTTI.

Figure
1. The main DAS unit mounted under the
“package shelf” of the trunk.

Figure
2. The 100-Car DAS.


Figure
3. The mounting for the forward view
camera behind the rear-view mirror.
VTTI’s
DAS utilizes technologies such as high precision differential global
positioning system (DGPS) and Doppler-based VORAD for position and ranging
measurement. Vehicle-based data
collection systems record multi-channel MPEG-4 compressed video/audio on PC-104
format on-board computers using either Microsoft Windows or Linux operating
systems. Color, black-and-white and
infrared video records external views (e.g., forward and rearward) and internal
views (e.g., over-the-shoulder capturing vehicle instrumentation panel and
driver hand position, face with eye glance, and pedal area). Other non-video data collected can include
items such as: turn signal use, illumination, position/distance, speed, lateral
and longitudinal g-forces, and yaw rate.
The DAS interfaces with the Original Equipment Manufacturer’s (OEM)
on-board vehicle diagnostic system to collect data such as throttle position,
air bag deployment, and brake status.
The system has been designed to add other sensors and data items as
required for a particular project.
Ongoing development of VTTI’s next generation DAS
will use advanced technologies such as digital signal processors (DSP) and
field-programmable gate arrays (FPGA) and will feature broad-band wireless
communication features to allow software updates, system health checks, and
remote data collection all within a package that is about the size of a VHS
videotape.
A GPS device is included in the DAS and is used primarily for tracking the instrumented vehicles and placing them in time and space. Data output includes measures of latitude, longitude, altitude, horizontal and vertical velocity, heading, and status/strength of satellite acquisition.
A VTTI-developed lane tracker,
called the “Road Scout,” is included in the DAS. The Road Scout consists
of a single analog black and white camera, a PC with a frame grabber card, and
an interface-to-vehicle car network for obtaining ground speed (Figure 4). Note that
the “grabbed” video frames are not stored but, instead, are processed
algorithmically in real time to calculate the vehicle position relative to road
lane markings.

Figure 4. Overview of Road
Scout.
Road Scout has two
interfaces for communication: a DLL version with exposed functionality and a
version using a serial communication protocol.
Road Scout can be configured to operate at 10 Hz on a 266 MHz Pentium PC
or up to 30 Hz on an 800 MHz (or better) PC.
The following variables are reported by Road Scout:
Once installed, Road
Scout’s software automatically calibrates to determine camera position and thus
no elaborate calibration procedure is required.
A yaw rate (gyro) sensor is included in the DAS and provides a measure of steering instability (i.e., jerky steering movements).
Accelerometers installed in the vehicle are used to measure longitudinal (x) and lateral (y) accelerations.
A radio frequency (RF) sensor can be included in the DAS. The RF sensor detects when the driver uses a wireless device. For example, if the driver uses a wireless phone, a flag is inserted into the data set to allow for quick identification of the event.
The measures that can be accessed from a particular vehicle depend on the make, model, and year of the vehicle. As such, it is possible that certain measures are only available for certain instrumented vehicles. The available measures are defined in a header file in each data set. The portion of the dataset that includes the vehicle network data typically contains measures of the following:
· Vehicle speed
· Distance since vehicle start-up
· Ignition signal
· Throttle position
· Brake pressure
Outside of the available vehicle network measures, other driver input measures that can be collected with sensors include the following:
· Right and left-turn signal
· Headlights on/off
· Brake pressure (if not available from the network).
During vehicle orientation, the driver is instructed to push a red button on the Incident Box (Figure 5) whenever the driver is involved in a critical incident, near crash, or crash. This button serves to open an audio channel for 30 seconds. In this time, the driver can provide a verbal report of what occurred. A microphone is installed in the Incident Box to record the verbal utterances of the driver when the Incident Pushbutton is activated.

Figure 5. Incident box can be easily accessed by the
driver.
Digital video cameras are used to record continuous video of the driver and the driving environment. Currently, four video cameras are typically used; these are multiplexed into a single image (Figure 6). Typically, these views are: 1) forward, 2) driver's face camera, 3) over-the-shoulder, and 4) wide-angle rearward. Figure 7 shows the angle and approximate field of view for each of the four typical video cameras used in the video recording system. The forward and rearward camera views provide good coverage of the driving environment. The face view provides coverage of the driver’s face and allows researchers to conduct eyeglance analysis. The over-the-shoulder view allows visibility of the vehicle’s instrument panel as well as the driver’s hand position. A timestamp and data frame synchronization number are also included in the MPEG video file. The frame number is used to time-synchronize the video (in MPEG format) and the vehicle/performance data (in .dat format). Full time audio can be recorded and encoded into the MPEG video file. However, due to privacy concerns, this feature is typically disabled until the participant presses the Incident Pushbutton allowing them to record a 30-second verbal comment.

Figure
6. Locations and approximate
fields-of-view of the four video cameras typically used.

Figure 7. Split-screen
presentation of five camera views used in the 100-Car Study. The lower right quadrant is more typically
filled with a single wide-angle rearward view.
Data rates for the current data acquisition configuration are estimated at approximately four MB/min and are highly dependent upon desired video quality. This figure should be within ±10% of the actual data rate and is based on earlier and current VTTI data-acquisition-intensive projects. About 90% of the data typically come from four monochrome video cameras operating at 30 Hz using MPEG hardware compression. Calculations can be made to determine the frequency of data retrieval. For example, if data are collected every three months, the maximum storage required is as follows:
DMAX = (100%+10%+20%)*(3 months*4.2 weeks/month*3 hrs/week*60 min/hr*4.0 MB/min) / 1000 MB/GB
DMAX = 12 GB/3 months
How often the data from a DAS must be retrieved depends, in part, on the storage capacity of the system onboard the vehicle. In actual practice, several other factors play a role in deciding how often the driving data will be downloaded, but data storage capacity certainly dictates the maximum amount of time between data retrievals. VTTI’s current onboard DAS uses a 120 GB hard drive, which will handle data storage for approximately 200 driving hours. A ruggedized hard drive is used in order to survive on-road vibrations and potential mishaps or crashes. The systems (currently in use for the 34-Truck Study, the 8-Truck Study, and the 40 Teen Study) have been crash tested (35 mph, partial front-end crash at 30 g) and operated properly before, during, and after the crash.
The DAS components (including the video) become active when the ignition system of the vehicle is initiated. The system remains active and gathers data as long as the engine is on and the vehicle is in motion. The system shuts down in an orderly manner when the ignition is turned off and pauses (on hold) if the vehicle ceases motion for a 10 minute period.
VTTI’s data acquisition software package is
installed on all DAS boxes to collect and store the data brought in by the DAS
in between downloads. This modular
software is more reliable and easily configurable than previous versions.
VTTI can install custom designed instrumentation systems into the participants’ personal vehicles if the study so requires. This method has proven very successful in recent studies (e.g., 100-Car Study and 40-Teen Study). VTTI’s mechanical group has designed instrumentation package housings that can be swiftly installed in volunteers’ vehicles leaving the vehicle in nearly its original condition. These temporary systems pose no crash hazard and can be readily reused in other vehicles. Use of VTTI systems is preferred to the use of commercially available data collection systems, for the reasons detailed below.
Some commercially available products provide camera views (front and passenger compartment), but the passenger compartment view shows the entire passenger compartment, including face views of all passengers. This configuration would not be acceptable to the Virginia Tech IRB or NIH’s Certificate of Confidentiality process, neither of which approves of capturing personal data about passengers without their permission. The cost of modifying these systems to meet IRB requirements would likely be prohibitive. These systems, even if modified, do not include comprehensive views of the drivers’ hand movements (the VTTI system provides an over-the-shoulder view), thus missing the opportunity to determine the exact nature of driver distractions involving a manual component. Finally, these systems, even if modified, do not easily allow integration with VTTI-developed software for eyeglance analysis.
Other commercially available systems do not include camera views, and thus miss the opportunity to capture driver eyeglance patterns and hand movements. When events are captured by the data sensors in this type of system, there is no visual record of factors that may have precipitated the event. Valuable detail on how drivers respond to particular driving situations is thus lost with these systems. For example, if a hard deceleration is captured, there is no way of knowing whether the deceleration was prompted by a lead vehicle braking, a traffic signal, or some other stimulus. The final drawback to all commercially available systems is that they lack a meaningful number of sensors. Thus, the number of triggers that can be searched for potential driving conflicts is limited. Some systems do not include GPS systems, which can be useful in post-hoc data analysis for determining geographic clusters of incidents which may indicate areas where participants encounter difficulty on a regular basis. Many systems include only such items as speed, longitudinal acceleration, and lateral acceleration. Finally, some systems (especially those without camera views) do not allow capture of such important measures as reaction time, eyes-off-road time, and avoidance maneuvers.
Data collected by the DAS are saved continuously
throughout the data collection period.
Periodically the data are retrieved from vehicles by CTD’s Data
Collection Group (DCG). The DCG staff
work with researchers to devise data retrieval strategies that ensure regular,
reliable, and secure data collection while working with the constraints of
participants’ schedules. The DCG staff
performs multiple tasks when visiting a data retrieval location. The hard drive is removed from the DAS and
initial data quality checks are performed on a laptop computer equipped with a drive
reader. The current configuration of
the DAS is verified and software/hardware upgrades are performed as
required. The staff also makes minor
repairs to the DAS in the field (such as replacement of hardware interface
boxes, cameras, or radar antennae).
Hardware and data collection status are then updated via a web interface
and the hard drives are submitted to the Data Service Center staff along with a
chain-of-custody record.
Once data are collected from the field by the DCG,
it is transferred to VTTI’s Data Services Center (DSC). The DSC is operated cooperatively by CTD’s
Data Services Group and VTTI’s Information Technology Group (ITG). The Data Services Group performs the
following functions within the Center:
·
Uploading of collected data to VTTI’s dedicated, large-scale (VLS[SEL1] ) data storage
area network (SAN[SEL2] )
·
Management and large-scale storage of data
·
Data quality control and assurance
·
Data tracking
·
Creation and maintenance of VTTI’s proprietary data viewing software
·
Database building, optimization, and maintenance
The Information Technology Group performs the
following functions within the DCG:
·
Specification and acquisition of hardware and software
·
Maintenance, repair, and updates of hardware
·
Security and access control management
·
Data backup and archiving
·
Data reduction workstation configuration and maintenance
VTTI has quickly become an industry leader in naturalistic
driving research, and this has created the need for advanced data services. The recently completed 100 Car Study alone
produced over 6 TB of data (which included over 2,000,000 vehicle miles and
42,300 hours of driving). New
capabilities added to the DAS and larger participant numbers have increased the
volume of data collected during the data acquisition process.
Research data are stored on the VLS
Data SAN that operates within a dedicated virtual private network (VPN). It is isolated from VTTI’s operational VPN
and all other networks including the World Wide Web by a high-end firewall
appliance managed by the ITG. All
network connections within VPNs at VTTI are high-speed Gigabit Ethernet.
The Data Services Center facilities are located within a newly constructed building at VTTI and feature the following:
·
Emergency power provided by an onsite diesel generator supplying backup
power for the data center, emergency lighting and the telecommunications
closet.
·
External wide area network (WAN) speeds equal to an OC-3 (45 Mbps; approximately 30 times that of a T-1
connection).
·
A dedicated climate control system with a backup contingency system.
·
Remote monitoring alarm system for indication of fire, smoke, intrusion,
power outage, climate control failure, hardware failure, water presence, high
temperature, and other situations.
·
Elevated flooring system for flood protection.
·
High physical security with steel reinforced structural walls.
·
Limited personnel accessibility.
·
Two 600 SF secure data reduction laboratories housing high-end computer workstations.
VTTI’s Data Services Center server room houses the following equipment:
·
250+
Dell branded business class desktops, laptops and laboratory workstations
·
15+ high availability, high performance DELL PowerEdge servers (Figure 8)
·
Over 60 Terabytes (Tb) of redundant high-speed storage with short-term
expandability exceeding 100 Tb.
·
Redundant optical SAN switch/routers.
·
Large capacity backup system that includes a tape library capable of
handling 12 Gigabytes of data per minute.
·
All
network connections are high-speed Gigabit Ethernet; VTTI was a pioneer in
implementing this technology to every network portal.
·
A dedicated IT staff with over 30 years of combined experience in the
information technology field.

Figure 8. The VTTI Data Center is environmentally controlled and physically
secure.
The
mission of the VTTI data reduction laboratories is to process the raw data
collected in VTTI studies and reduce it into a format that allows specific
research questions to be accurately and effectively answered. Once study data have been uploaded to VTTI
servers, Data Services facilitates researchers in viewing and maintaining their
datasets. For this process, Data
Services developed a data viewer in-house that supports the synchronizing of
video and performance data.
Data Services uses two full time data reduction laboratories that will contain 32 data reduction stations when they are fully staffed (Figure 9). To maintain data security, all data reduction machines are connected only to the data server and maintain no outside connections. Additional data reduction laboratories can be developed and staffed as needed. The typical data reduction staff is 20 to 40 persons working in four hour shifts.

Figure 9. VTTI’s data reduction
laboratories.