Transportation Asset Management and Visualization Using Semantic Models and Google Earth

2007 ◽  
Vol 2024 (1) ◽  
pp. 27-34 ◽  
Author(s):  
Michael T. Darter ◽  
Ty A. Lasky ◽  
Bahram Ravani
Keyword(s):  
Asset Management ◽  
Google Earth ◽  
Semantic Models ◽  
Transportation Asset Management

Risk-Based Planning in Transportation Asset Management: Critical Pitfalls

2015 ◽  
Vol 141 (2) ◽  
pp. 04014080 ◽  
Author(s):  
Richard Sarpong Boadi ◽  
Adjo Amekudzi Kennedy ◽  
Jay Couture
Keyword(s):  
Asset Management ◽  
Transportation Asset Management

scholarly journals Research on Comprehensive Multi-Infrastructure Optimization in Transportation Asset Management: The Case of Roads and Bridges

2019 ◽  
Vol 11 (16) ◽  
pp. 4430 ◽  
Author(s):  
Zhang Chen ◽  
Yuanlu Liang ◽  
Yangyang Wu ◽  
Lijun Sun
Keyword(s):  
Asset Management ◽  
Optimization Model ◽  
Optimization Technique ◽  
Infrastructure Management ◽  
Transportation Assets ◽  
Maintenance And Rehabilitation ◽  
Optimum Order ◽  
Transportation Asset Management ◽  
Order Algorithm

Optimization is the core of transportation asset management, but current optimization approaches are still in the stage of single infrastructure management, which seriously hinders the development and application of transportation asset management. This paper establishes a comprehensive multi-infrastructure optimization model for transportation assets consisting of roads and bridges, which is aimed at achieving the goal of transportation asset comfort, integrity, and security, taking budget funds as constraint conditions, and applying the optimization technique of goal programming and integer programming. An interactive fuzzy linear-weighted optimum-order algorithm is presented to solve the comprehensive optimization model. Finally, the comprehensive multi-infrastructure optimization model and algorithm are verified to be effective by practical data in a case study. The results indicate that the model and algorithm can provide a satisfactory and reasonable maintenance and rehabilitation schedule for transportation asset management agencies.

Using Resilience in Risk-Based Asset Management Plans

2020 ◽  
Vol 2674 (4) ◽  
pp. 178-192
Author(s):  
YuanChi Liu ◽  
Sue McNeil
Keyword(s):  
Asset Management ◽  
Transportation Networks ◽  
Management Plan ◽  
Extreme Weather Events ◽  
Risk And Resilience ◽  
Technical Performance ◽  
Weather Events ◽  
Management Plans ◽  
Robeson County ◽  
Transportation Asset Management

Each state in the U.S.A. is required to develop and maintain a risk-based transportation asset management plan for the National Highway System (NHS) to improve or preserve the condition of the assets and the performance of the system. Awareness of natural hazards and extreme weather events has also increased with recent catastrophic hurricanes, such as Matthew (October, 2016) and Harvey (August, 2017), which caused significant inland floods in Robeson County, North Carolina, and Houston, Texas, respectively. These recent events and the damage to transportation infrastructure has also focused attention on the resilience of transportation networks. However, an integrated, consistent, well-understood method to assess or quantify the resilience of transportation networks is still lacking. This paper reviews the relevant concepts, legislative requirements that link asset management, risk and resilience, and tools available to support risk-based asset management. Based on a review of the transportation asset management plans developed by 49 state departments of transportation in 2018 and 2019, the paper summarizes the approaches to the risk management section of these asset management plans and the role resilience plays. Opportunities to better integrate resilience into the risk-based asset management plans are then identified. Examples are presented that demonstrate the role of resilience-related technical performance measures that reflect decisions related to flooding in the various stages of the disaster cycle (preparedness, response, recovery, and mitigation).

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