Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
T7.2 (3): AI and machine learning technologies in pavement engineering and performance prediction
Time:
Thursday, 08/May/2025:
1:45pm - 3:25pm

Session Chair: Michael Kaliske
Technical Staff: Jan Unterbuchschachner
Location: Room 2 (Seminarraum)

Find Room 2 (Seminarraum) on the TU Wien Maps!
Name: Seminarraum AA 03 - 1
Address: Karlsplatz 13, 1040 Wien, 3rd floor
Roomcode: AA 03 52

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Presentations
1:45pm - 2:05pm

Transverse evenness prediction in asphalt pavement using an artificial neural network

Jan-Hinrik Borchers1,2, Leo Sotto1

1Federal Highway and Transport Research Institute (BASt), Bergisch-Gladbach, Germany; 2TU Braunschweig - Institute for Infrastructure and Real Estate Management, Brunswick, Germany



2:05pm - 2:25pm

Optimizing pavement performance prediction with stacking regressor models

Ayush Sharma1, Aakash Gupta2, Sachin Gowda3

1National Institute of Technology, New Delhi, India; 2CSIR-Central Road Research Institute, India; 3CSIR-Central Road Research Institute, India



2:25pm - 2:45pm

Exploring machine learning approaches for resilient modulus in rejuvenated reclaimed asphalt pavement

Mohammad Farhad Ayazi1, Maninder Singh1, Rajiv Kumar2, Mahadevapura Krishnegowda Sachin Gowda2

1Punjabi university, patiala, india; 2CSIR- central road research institute, new delhi, india



2:45pm - 3:05pm

A comparative analysis of machine learning models for predicting faulting in jointed plain concrete pavements

Tanvir Ahmed, Mayzan Isied, Mena Souliman

University of Texas at Tyler, United States of America



3:05pm - 3:25pm

Autonomous synthetic data generation for asphalt pavement crack segmentation using generative models

Mohammad Sedighian-Fard1, Amir Golroo1,2, Salar Nouri2, Mehdi Rasti2

1Amirkabir University of Technology; 2University of Oulu, Finland



 
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