Transport Research International Documentation (TRID) https://trid.trb.org/ en-us Copyright © 2026. National Academy of Sciences. All rights reserved. http://blogs.law.harvard.edu/tech/rss tris-trb@nas.edu (Bill McLeod) tris-trb@nas.edu (Bill McLeod) Transport Research International Documentation (TRID) https://trid.trb.org/Images/PageHeader-wTitle.jpg https://trid.trb.org/ Profiling of the Environmental Conditions for High-Altitude Pseudo Satellites Operations https://trid.trb.org/View/2627801 Tue, 27 Jan 2026 16:16:17 GMT https://trid.trb.org/View/2627801 Corrosion behavior and mechanical property degradation of Al-Zn-Mg-Cu alloy in tropical marine atmosphere https://trid.trb.org/View/2594624 Wed, 24 Sep 2025 15:31:05 GMT https://trid.trb.org/View/2594624 Analysis of the aircraft performance at cruise altitude within the tropopause layer https://trid.trb.org/View/2563681 Fri, 18 Jul 2025 09:06:53 GMT https://trid.trb.org/View/2563681 Time-dependent seismic safety assessment of aging steel bridge piers in varied atmospheric conditions https://trid.trb.org/View/2528632 Mon, 14 Apr 2025 17:08:11 GMT https://trid.trb.org/View/2528632 Calculation of X-ray Emission of Gigantic Upward Atmospheric Discharges Governed by Relativistic Runaway Electrons https://trid.trb.org/View/1784692 Fri, 31 Jan 2025 17:00:16 GMT https://trid.trb.org/View/1784692 EPQ-GAN: Evolutionary Perceptual Quality Assessment Generative Adversarial Network for Image Dehazing https://trid.trb.org/View/2441974 Mon, 13 Jan 2025 11:12:02 GMT https://trid.trb.org/View/2441974 Evidence of Near-Surface Density Stratification as a Factor in Extreme Seiche Events at Ciutadella Harbor, Menorca Island https://trid.trb.org/View/2213392 Sat, 07 Dec 2024 10:42:00 GMT https://trid.trb.org/View/2213392 Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility https://trid.trb.org/View/2292401 Mon, 20 Nov 2023 16:25:05 GMT https://trid.trb.org/View/2292401 A Spatiotemporal Hybrid Model for Airspace Complexity Prediction https://trid.trb.org/View/2173254 Mon, 30 Oct 2023 08:53:01 GMT https://trid.trb.org/View/2173254 A Mooring Development and Implementation Case Study of a Government/Private Partnership https://trid.trb.org/View/2090746 Fri, 10 Feb 2023 09:02:08 GMT https://trid.trb.org/View/2090746 Fine particulate pollution driven by nitrate in the moisture urban atmospheric environment in the Pearl River Delta region of south China https://trid.trb.org/View/2065230 Fri, 16 Dec 2022 09:41:07 GMT https://trid.trb.org/View/2065230 Investigating detection probability of mobile survey solutions for natural gas pipeline leaks under different atmospheric conditions https://trid.trb.org/View/2031241 50%) are rapidly decreased with the increase in survey speed. Walking survey is applicable over a wider range of weather conditions, including PG stability class A to E/F and calm to medium winds (0–5 m s−1). A driving survey at a low speed (11 mph) can only be conducted under calm to low wind speed conditions (0–3 m s−1) to have an equivalent DP to a walking survey. Only calm wind conditions in PG A (0–1 m s−1) are appropriate for a high driving speed (34 mph). These findings showed that driving survey providers need to optimize the survey schemes to achieve a DP equivalence to the traditional walking survey.]]> Mon, 31 Oct 2022 10:21:47 GMT https://trid.trb.org/View/2031241 A Trajectory Evaluation Platform for Urban Air Mobility (UAM) https://trid.trb.org/View/1994088 Mon, 25 Jul 2022 11:50:54 GMT https://trid.trb.org/View/1994088 A Safety-Aware Real-Time Air Traffic Flow Management Model Under Demand and Capacity Uncertainties https://trid.trb.org/View/1994045 Mon, 25 Jul 2022 11:50:54 GMT https://trid.trb.org/View/1994045 Capacitated Air/Rail Hub Location Problem With Uncertainty: A Model, Efficient Solution Algorithm, and Case Study https://trid.trb.org/View/1994032 $O(n^{4})$ variables and show that the implementation of a Benders decomposition algorithm is inherently hard, because of the cubic number of variables in the master problem. Furthermore, they derive an iterative network design algorithm and additional improvement strategies: MMHUBBI which resolves a restricted problem by the solver CPLEX and MMHUBBI-DIRECT which re-designs the transportation network by a heuristic. Their evaluation on real-world dataset for Chinese domestic transportation shows that MMHUBBI provides a significant speed-up on all instances, compared to using CPLEX, while obtaining near-optimal solutions. MMHUBBI-DIRECT further reduces the runtime/memory usage but provides solutions with worse quality. The authors believe that their study contributes towards the design of more realistic multi-modal hub location problems.]]> Mon, 25 Jul 2022 11:50:54 GMT https://trid.trb.org/View/1994032