AI-Enabled Transportation Network Analysis, Planning and Operations

Yin, Yafeng; Liu, Zhichen

doi:https://hdl.handle.net/2027.42/177545

i

AI-Enabled Transportation Network Analysis, Planning and Operations

2023-08-31
By Yin, Yafeng ; Liu, Zhichen

File Language:

English

[PDF - 14.31 MB]

Details

Creators:

Yin, Yafeng ; Liu, Zhichen
Corporate Creators:

Center for Connected and Automated Transportation (CCAT) ; University of Michigan. Department of Civil and Environmental Engineering
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:
Publication/ Report Number:

CCAT Report No. 65
DOI:

https://hdl.handle.net/2027.42/177545
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report (January 2022 - August 2023)
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
Abstract:

This study introduces a unified end-to-end framework for analyzing network traffic equilibrium. The framework learns supply and demand components directly from traffic data, using computational graphs to parameterize unknown elements. It enforces user equilibrium through variational inequalities and can incorporate various modeling approaches, including neural networks. A novel neural network architecture is proposed that guarantees equilibrium states and allows for future scenario planning. The model is trained using advanced gradient descent algorithms and leverages operator-splitting methods for solving variational inequality problems. The framework's effectiveness is confirmed through tests on three synthesized datasets.
Format:

PDF
Funding:

69A3551747105
Download URL:

https://rosap.ntl.bts.gov/view/dot/73469/dot_73469_DS1.pdf
File Type:

[PDF - 14.31 MB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:4bb03f00895e811b2d35489758bffc5b975ff60317b87d89725f367343bdbfc247e39375cc547ea0614c8c0c3c29de0806abd1ac2db5e600ed96c120a24c68ff

File Language:

English

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