9 papers
High-Order Liquid Evidence Modeling for Continuous and Subtle GNSS Spoofing Detection in Autonomous Driving
Muhammad Ayub Sabir, Junbiao Pang, Fatima Ashraf
Continuous and subtle GNSS spoofing poses a serious threat to autonomous vehicles because forged positions may remain locally plausible while gradually becoming inconsistent with v…
High-Order Liquid Evidence Encoding for Gradual GNSS Spoofing Detection in Autonomous Driving
Muhammad Ayub Sabir, Junbiao Pang, Fatima Ashraf
Accurate Global Navigation Satellite System (GNSS)-based localization is essential for safe and reliable autonomous driving. However, spoofing attacks can manipulate vehicle positi…
Large Multimodal Agents for Intelligent Transportation Systems: Architectures, Evidence, and Deployment Challenges
Muhammad Ayub Sabir, Shaohong Zheng, Zhiyu Qu +2
Large multimodal agents (LMAs) are increasingly proposed for intelligent transportation systems (ITS), but existing studies often conflate multimodality, agency, empirical performa…
Artificial Intelligence for Understanding and Managing Transportation Behavior in Sustainable Smart Cities
Junbiao Pang, Muhammad Ayub Sabir, Fatima Ashraf
Urban transportation systems generate heterogeneous data, yet these data do not automatically become actionable management intelligence. This chapter adopts a behavior-centered per…
Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models
Peng Xia, Junbiao Pang, Muhammad Ayub Sabir
Post-training quantization (PTQ) compresses deep neural networks for deployment under limited memory and computational budgets. However, low-bit (i.e., 2-bit or 4-bit) PTQ often su…
Discovering Sparse Counterfactual Factors via Latent Adjustment for Survey-based Community Intervention
Fatima Ashraf, Muhammad Ayub Sabir, Junbiao Pang +2
Transportation surveys are widely used to understand travel preferences and adoption barriers, yet most survey-based analyses remain descriptive or predictive and rarely provide sp…
Importance-aware Topic Modeling for Discovering Public Transit Risk from Noisy Social Media
Fatima Ashraf, Muhammad Ayub Sabir, Jiaxin Deng +2
Urban transit agencies increasingly turn to social media to monitor emerging service risks such as crowding, delays, and safety incidents, yet the signals of concern are sparse, sh…
Few Shot Semi-Supervised Learning for Abnormal Stop Detection from Sparse GPS Trajectories
Muhammad Ayub Sabir, Junbiao Pang, Jiaqi Wu +1
Abnormal stop detection (ASD) in intercity coach transportation is critical for ensuring passenger safety, operational reliability, and regulatory compliance. However, two key chal…
Finding A Taxi with Illegal Driver Substitution Activity via Behavior Modelings
Junbiao Pang, Muhammad Ayub Sabir, Zhuyun Wang +4
In our urban life, Illegal Driver Substitution (IDS) activity for a taxi is a grave unlawful activity in the taxi industry, possibly causing severe traffic accidents and painful so…