Optimization of Transportation Infrastructure System Performance with Autonomous Maintenance Technology in Work Zones

Hu, Xianbiao; Tang, Qing; Chen, Genda; Missouri University of Science and Technology. Center for Intelligent Infrastructure; Mid-America Transportation Center

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Optimization of Transportation Infrastructure System Performance with Autonomous Maintenance Technology in Work Zones

2024-09-01
By Hu, Xianbiao ; Tang, Qing ; Chen, Genda

[PDF-1.57 MB]

English

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Creators:

Hu, Xianbiao ; Tang, Qing ; Chen, Genda

Hu, Xianbiao ; Tang, Qing ; Chen, Genda Less -
Corporate Creators:

Missouri University of Science and Technology. Center for Intelligent Infrastructure ; Mid-America Transportation Center

Missouri University of Science and Technology. Center for Intelligent Infrastructure ; Mid-America Transportation Center Less -
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

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

[+]

Algorithms Construction Scheduling Maintenance Management Optimization Sensitivity Analysis Technological Innovations Traffic Assignment Travel Time Work Zones
Publication/ Report Number:

25-1121-0005-128-3
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report January 1, 2021, - June 30, 2024
Corporate Publisher:

University of Nebraska-Lincoln. Mid-America Transportation Center
Abstract:

Work zone maintenance is essential to the efficiency and safety of transportation infrastructure system. A recent technology named autonomous maintenance technology (AMT) is gaining rapid attention to eliminate fatalities of Department of Transportation (DOT) employees in work zones. Traffic flow will redistribute in the network once the link performance function (LPF) is updated after maintenance, and thus the equilibrium travel time (ETT) will change accordingly. In an extreme example, Braess’s paradox, i.e. adding or improving one roadway segment may actually lead to a worse traffic condition, may be observed. This project aims to support DOT decision-makers to determine which road segment to prioritize for maintenance, with the goal of maximizing transportation system performance. To this end, a user equilibrium (UE) model will be developed to quantify the impact of roadway segment maintenance. Sensitivity analysis will then be conducted to compute the marginal cost of ETT. Last but not the least, maintenance priority will be suggested to DOT to maximize the transportation infrastructure system performance.
Format:

PDF
Funding:

69A3551747107
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:880aaf5509604cbead1a50358c765984aff4ea47689ddcb71ae53d2bbe15cc1c8213c5254b531a50152a884afa838170dde3d51b2e2607f7920935fd30877c2a
Download URL:

https://rosap.ntl.bts.gov/view/dot/77917/dot_77917_DS1.pdf
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Optimization of Transportation Infrastructure System Performance with Autonomous Maintenance Technology in Work Zones

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