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):
University Transportation Centers
US Transportation Collection
Main Document Checksum:
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urn:sha256:ef2ff5594683cc2fbc6d39bec29e2a09b0f95d19b1b2b0c17e994bb6b60e6fd4
File Type:

Supporting Files

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