Structural Adequacy and Network Criticality: An Integrated Approach for Prioritizing Bridge Adaptation to Automated Truck PlatooningSource: Journal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 004::page 04025009-1DOI: 10.1061/JBENF2.BEENG-7045Publisher: American Society of Civil Engineers
Abstract: The emergence of connected and autonomous vehicles technology presents a unique challenge for existing highway bridges. Trucks forming platoons and traveling in close, high-speed formations offer fuel efficiency gains but also exert increased load effects on existing highway bridges. This study addresses this concern by introducing a risk-based assessment framework that combines evaluations of structural adequacy and network criticality. This integrated approach assesses and prioritizes bridges for necessary rehabilitation, ensuring the readiness of the highway system for platooning. First, at the component level, it evaluates each bridge’s load-bearing capacity and current structural condition, determining its capability against the increased loads characteristic of truck platoons. Second, at the network level, it considers each bridge’s role and importance within the broader transportation network, using network topology metrics to quantify the potential widespread impact of any bridge failure. The developed method was utilized to evaluate the preparedness of highway bridges in Ontario for accommodating truck platooning. The results show that bridges that have transportation criticality generally meet structural requirements for supporting truck platoons. However, overlooking network-level measures might result in biased prioritization of bridges for upgrades. This study supports strategic budgeting for necessary bridge upgrades, which is crucial for safe, efficient platooning.
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contributor author | Mingsai Xu | |
contributor author | Cancan Yang | |
date accessioned | 2025-04-20T10:05:37Z | |
date available | 2025-04-20T10:05:37Z | |
date copyright | 2/4/2025 12:00:00 AM | |
date issued | 2025 | |
identifier other | JBENF2.BEENG-7045.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4303973 | |
description abstract | The emergence of connected and autonomous vehicles technology presents a unique challenge for existing highway bridges. Trucks forming platoons and traveling in close, high-speed formations offer fuel efficiency gains but also exert increased load effects on existing highway bridges. This study addresses this concern by introducing a risk-based assessment framework that combines evaluations of structural adequacy and network criticality. This integrated approach assesses and prioritizes bridges for necessary rehabilitation, ensuring the readiness of the highway system for platooning. First, at the component level, it evaluates each bridge’s load-bearing capacity and current structural condition, determining its capability against the increased loads characteristic of truck platoons. Second, at the network level, it considers each bridge’s role and importance within the broader transportation network, using network topology metrics to quantify the potential widespread impact of any bridge failure. The developed method was utilized to evaluate the preparedness of highway bridges in Ontario for accommodating truck platooning. The results show that bridges that have transportation criticality generally meet structural requirements for supporting truck platoons. However, overlooking network-level measures might result in biased prioritization of bridges for upgrades. This study supports strategic budgeting for necessary bridge upgrades, which is crucial for safe, efficient platooning. | |
publisher | American Society of Civil Engineers | |
title | Structural Adequacy and Network Criticality: An Integrated Approach for Prioritizing Bridge Adaptation to Automated Truck Platooning | |
type | Journal Article | |
journal volume | 30 | |
journal issue | 4 | |
journal title | Journal of Bridge Engineering | |
identifier doi | 10.1061/JBENF2.BEENG-7045 | |
journal fristpage | 04025009-1 | |
journal lastpage | 04025009-14 | |
page | 14 | |
tree | Journal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 004 | |
contenttype | Fulltext |