[2608.14491] Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Electrical Engineering and Systems Science > Systems and Control arXiv:2608.14491 (eess) [Submitted on 14 Aug 2026] Title: Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows Authors: Charitha Nandepu , Lohitha Kalepu , Gabriele Ciavarella , SangWoo Park View a PDF of the paper titled Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows, by Charitha Nandepu and 2 other authors View PDF HTML (experimental) Abstract: Network-level maintenance planning requires repeated evaluations of equilibrium traffic flows under road capacity reductions. While equilibrium traffic assignment models are well established, their repeated solution quickly becomes computationally prohibitive and challenging to embed within maintenance scheduling problems. This paper investigates data-driven surrogate models that approximate equilibrium arc flows directly from origin-destination demand, using optimization-based equilibrium solutions as ground truth. A real-world case study based on traffic data from the Newark, New Jersey area demonstrates the effectiveness of the proposed approach as a scalable building block for future maintenance scheduling frameworks. Comments: Case Study paper presented in IISE Annual Conference and Expo 2026 Subjects: Systems and Control (eess.SY) ; Artificial Intelligence (cs.AI) Cite as: arXiv:2608.14491 [eess.SY] (or arXiv:2608.14491v1 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2608.14491 Focus to learn more arXiv-issued DOI via DataCite Submission history From: SangWoo Park [ view email ] [v1] Fri, 14 Aug 2026 17:07:14 UTC (1,522 KB) Full-text links: Access Paper: View a PDF of the paper titled Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows, by Charitha Nandepu and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: eess.SY < prev | next > new | recent | 2026-08 Change to browse by: cs cs.AI cs.SY eess References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from