Data-Driven Simulation Approach for Short-Term Planning of Winter Highway Maintenance Operations

Li, Yipeng, RazaviAlavi, SeyedReza and AbouRizk, Simaan (2021) Data-Driven Simulation Approach for Short-Term Planning of Winter Highway Maintenance Operations. Journal of Computing in Civil Engineering, 35 (5). 04021013. ISSN 0887-3801

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Winter highway maintenance operations are performed to ensure safe driving conditions during snow events. However, variability in truck speeds and changing weather conditions limit the ability of practitioners to optimize plans in a timely manner. The time required to manually adjust plans in response to actual conditions prevents modifications from being completed and applied during the operation phase. To overcome this challenge, a data-driven, near real-time simulation approach to assist short-term planning of winter highway maintenance operations is proposed. The approach integrates dynamic project data to quickly (1) predict required truck fleet size for upcoming operations, (2) devise operation schedules, and (3) recommend operation routes. Functionality and validity of the proposed approach was demonstrated using both an illustrative example and a real case study. The proposed approach was found capable of rapidly generating operation plans that were more efficient than current practice.

Item Type: Article
Subjects: G400 Computer Science
G500 Information Systems
H200 Civil Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: John Coen
Date Deposited: 15 Sep 2021 12:44
Last Modified: 15 Sep 2021 12:45

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