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July 10, 2026Transportation Research Record Journal of the Transportation Research Board

Optimization of Hot-Mix Asphalt Rolling Pattern Using Ground-Penetrating Radar and Markov Decision Processes

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Authors

LALama AbufaresIAImad L. Al‐QadiMHMark Hasegawa‐Johnson

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Overview

Randomized trial optimizes asphalt compaction decisions in various scenarios, indicating potential for cost savings.

Key Points

  • The aim is to optimize the hot-mix asphalt rolling pattern using GPR and Markov decision processes.
  • Utilized ground-penetrating radar to monitor asphalt density.
  • Formulated a Markov decision process for rolling pattern optimization.
  • Analyzed data from field projects under Illinois’ quality control program.
  • MDP decisions reduced construction time by 40.3% under QCP and 18.1% under PFP scenarios.
  • Increased revenue by 9.7% for QCP and 50.2% for PFP scenarios compared to experienced roller operator.
  • Expected benefits include energy savings and improved worker safety.

Cite This Study

Abufares et al. (2026) studied this question.

synapsesocial.com/papers/6a508d536eeac72a437a0e32https://doi.org/10.1177/03611981261459437
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  1. 1Optimizing Flexible Pavement Density during Construction with Closed-Loop GPR Monitoring2025
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  5. 5Successful Application of Ground-Penetrating Radar for Quality Assurance-Quality Control of New Pavements2003 · 72 citations