Management and analysis of Michigan intelligent transportation systems center data with application to the Detroit area I-75 corridor.
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2011-02-01
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Edition:Final report.
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Abstract:An understanding of traffic flow in time and space is fundamental to the development of
strategies for the efficient use of the existing transportation infrastructure in large
metropolitan areas. Thus, this project involved developing the methods necessary to
systematically describe, explain, and predict the flow of traffic with respect to time and
space. The utility of this knowledge was demonstrated in routing voluminous traffic.
Achieving these objectives required the collection, management, and analysis of traffic
data concerning volume, speed, and traffic sensor occupancy. Management of this data
required the design and implementation of a database management system as well as
assuring data quality. Descriptive, explanatory, and predictive statistical models were
developed to help gain the desired understanding of traffic flow. Application efforts
focused on the Detroit metropolitan area. Traffic data was regularly obtained from the
Michigan Intelligent Transportation System Center. Statistical models of traffic flow in
the Detroit area I-75 corridor were constructed. A previously developed routing model
was extended and adapted to the I-75 corridor and the newly developed statistical models
incorporated to help compute traffic flow metrics. Both a software solver and a hardware
solver for the model were implemented. A framework for traffic simulation was
constructed and used to develop and calibrate a micro-simulation model of the same
subset of the I-75 corridor. This model was used to demonstrate the benefits of guidance
in re-routing traffic as a result of a traffic incident. A web site describing project
activities and supporting downloading of traffic data was developed.
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