Sensor Placement Considering the Observability of Traffic Dynamics: On the Algebraic and Graphical Perspectives

Hu, Xinyue

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Sensor Placement Considering the Observability of Traffic Dynamics: On the Algebraic and Graphical Perspectives

2024-01-01
By Hu, Xinyue

File Language:

English

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Creators:

Hu, Xinyue
Corporate Creators:

University of California, Davis, Institute of Transportation Studies
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Dissertation
Geographical Coverage:

United States
Corporate Publisher:

University of California, Davis. Institute of Transportation Studies
Abstract:

Traffic data is crucial for traffic operation and management. Traffic sensors serve as one of the most important sources for such data. One important mission of the traffic sensor is to provide an accurate and reliable general picture of the traffic system. In this dissertation, a new sensor location model is developed to maximize the observability of link densities in a dynamic traffic network described using a piecewise linear ordinary differential equation system. We develop an algebraic approach based on the eigen structure to determine the sensor location for achieving full observability with a minimal number of sensors. The proposed Algebraic Approach is efficient and generic and it can be applied to any dynamical system with direct state observation. Additionally, a graphical approach based on the concept of structural observability is developed. By exploiting the special property of flow conservation in traffic networks, we derive a simple analytical result that can be used to identify observable components in a partially observable system.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/78563/dot_78563_DS1.pdf
File Type:

[PDF - 6.39 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:0984920641fcf205e618e6e2390c248908118f9355a36a02fa04bc74864703c491fb8f9c83d770b4f1834a498d20e46572a136c004c9bbe0a78451a02d3714dc

File Language:

English

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