Description
 Beginning
with descriptions of parameters that characterize the flow of
vehicles on freeways, arterial roads, and feeder routes, this
hands-on book examines intrusive and non-intrusive traffic sensors
and associated technologies that measure traffic flow and assist
in the management of congestion. You get the latest information
about sensors that provide wider coverage areas and a larger
variety of traffic flow parameters than the
more conventional inductive loops. The operating characteristics
of these measuring devices is illustrated through detailed
discussions of traffic-responsive arterial signal control,
freeway incident detection, ramp metering, electronic toll
and traffic management, commercial vehicle operations, advanced
traveler information systems, and sensor installation and maintenance
issues.
Written
by an acknowledged authority in the field, Sensor Technologies
and Data Requirements for ITS is a convenient reference and
textbook that includes valuable information about the functioning
of video image processor, microwave radar, infrared, laser
radar, ultrasonic, acoustic, magnetic, and inductive loop sensors.
The evolution of modern toll tag technology standards and weigh-in-motion
sensors are also treated. The book reviews the role of sensors
in intelligent transportation systems for mitigating congestion,
secondary incidents, travel delays, pollution, and excess fuel
consumption. It gives you a convenient analysis of traffic
detector data, traffic flow characteristics, sensor performance
as measured as part of several U.S. Federal Highway Administration
programs, and factors that contribute to measurement errors.
This information is expertly associated with traffic sensor
technologies currently in existence or soon to come on the
market, and it delivers the data you need to plan and design
today's intelligent transportation systems, as well as those
in the future.
CD-ROM
Included! Contains details on: the elements of selected
United States and Canadian traffic management systems; freeway
incident detection algorithms, energy use and emissions by transportation
mode, inductive loop detector specifications, deterministic and
random components of traffic data, axle counting and weigh-in-motion
sensors, transmission rate requirements for selected traffic
management applications, specification of representative sensor
models, sensor manufacturers and vendors, and data fusion algorithms
and architectures. Also includes answers to exercises from the
book.
Contents
- Sensors
in Modern Traffic Management Systems.
- Traffic Flow Characterization.
- Applications of Sensor Data to Traffic Management.
- Data Requirements
for Future Traffic Management Applications.
- Traffic Flow
Sensor Technologies.
- Overhead Sensor Installation Along
A Highway.
- Transponders and Standards for Dedicated Short-Range
Communications.
- Data Fusion at the Traffic Management Center.
- Sensor
Plan and
Specification Requirements.
Author
Lawrence
A. Klein, Ph.D. is currently a private consultant and was
commended by the U.S. Federal Highway Administration for his
performance while with the Hughes Aircraft Company as principal
investigator on the Detection Technology for Intelligent Vehicle
Highway Systems program. He received his B.E.E. from the City
College of New York, his M.S. in Electrical Engineering from
the University of Rochester (NY), and his Ph.D. in Electrical
Engineering from New York University. He is a member of the
Freeway Operations Committee of TRB, member of ASTM E17 Group
V - ITS, senior member of the IEEE, was co-chair of the SPIE
Collision Avoidance and Automated Traffic Management Sensors
Conference, and has published 3 other books and over 50 technical
papers.
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