Details:

Creators:
Standridge, Charles R. ; Choudhuri, Shabbir ; Zeitler, David ; Khasnabis, Snehamay
Standridge, Charles R. ; Choudhuri, Shabbir ; Zeitler, David ; Khasnabis, Snehamay Less -
Corporate Creators:
Michigan Ohio University Transportation Center
Corporate Contributors:
Grand Valley State University. School of Engineering ; Wayne State University. College of Engineering ; University Transportation Centers Program (U.S.) ; Michigan State Transportation Commission ; Michigan. Dept. of Transportation ; ... More +
Grand Valley State University. School of Engineering ; Wayne State University. College of Engineering ; University Transportation Centers Program (U.S.) ; Michigan State Transportation Commission ; Michigan. Dept. of Transportation ; United States. Federal Highway Administration Less -
Subject/TRT Terms:
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Analysis
Integrated Corridor Management
Intelligent Transportation Systems
Management
Metropolitan Areas
Traffic Flow
Traffic Models
Traffic Simulation

Publication/ Report Number:
MIOH UTC TS21p1-2 2011-Final
Resource Type:
Tech Report
Geographical Coverage:
Michigan
Edition:
Final report.
Corporate Publisher:
Michigan Ohio University Transportation Center
NTL Classification:
NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS ; NTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Flow ; NTL-PLANNING AND POLICY-PLANNING AND POLICY ;
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.


Format:
PDF
Collection(s):
US Transportation Collection
University Transportation Centers
Main Document Checksum:
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urn:sha256:ef2ff5594683cc2fbc6d39bec29e2a09b0f95d19b1b2b0c17e994bb6b60e6fd4
File Type:

Supporting Files

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