Uneb Gazder

dblp:130/8705 · DBLP profile ↗
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6ranked-venue papers
1as first author
5since 2021 · last 2025
0000-0002-9445-9570ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 4 since 2021Artificial intelligence and machine learning · 2 · 1 since 2021
YearPublicationVenuePosition
2025 Predicting and optimizing the mechanical properties of rejuvenated asphalt mix with RAP content
Kamrul Islam 0002, Uneb Gazder, Abdullah Al Mamun 0001, Md. Arifuzzaman, Hamad Ibrahim Al-Abdul Wahhab, Muhammad Muhitur Rahman
Neural Comput. Appl.2
2023 Noise level based equivalency factors for different mobility options within heterogeneous traffic flow
Uneb Gazder, Mohammed Raza Mehdi, Fatma Outay, Mudassar Arsalan
Pers. Ubiquitous Comput.1
2023 Optimizing operational parameters through minimization of running costs for shared mobility public transit service: an application of decision tree models
Adnan Qadir, Fatma Outay, Uneb Gazder, Muhammad Bilal Khalid
Pers. Ubiquitous Comput.3
2022 The Determinants of Consumer Acceptance of Autonomous Vehicles: A Case Study in Riyadh, Saudi Arabia
abstract
The factors affecting the acceptance of Autonomous Vehicles (AVs) in Saudi Arabia were examined by conducting a stated choice survey among 500 participants. Descriptive analysis showed that the participants believed that using AVs will decrease the risk of car crashes and help them safely reach their destination. Parametric analysis and prediction models showed a wide variation in public opinion regarding willingness to use AVs, despite an average high score on this factor. The study found that the trust in AVs was low, and women favored AVs more than men. Prediction models showed that age, trust, and being tech-savvy determine the willingness to use AVs. As younger participants had a high willingness to use AVs, we recommended focusing on changing the perception of older drivers to increase overall AV acceptance by increasing their trust in this new technology and highlighting the features of AVs. From the findings of this study, it is expected that wide-scale adoption of AV depends upon its competitiveness with the traditional and its performance in terms of enhancing road safety.
Ibrahim Alsghan, Uneb Gazder, Khaled Assi, Gazi Hassan Hakem, Mohammad Abduljalil Sulail, Osamah Abdulrahman Alsuhaibani
Int. J. Hum. Comput. Interact.2
2021 Estimation of travel time distributions for urban roads using GPS trajectories of vehicles: a case of Athens, Greece
Muhammad Adnan 0003, Uneb Gazder, Ansar-Ul-Haque Yasar, Tom Bellemans, Ibad Kureshi
Pers. Ubiquitous Comput.2
2020 Shear strength prediction of FRP reinforced concrete members using generalized regression neural network
Uneb Gazder
Neural Comput. Appl.2