The study of time series data is crucial for understanding trends and anomalies over time,
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …

Crime risk map plays a crucial role in urban planning and public security management.
Traditionally, it is obtained solely from historical crime incidents or inferred from limited …

Lane changing presents a dynamic scenario characterized by intricate interactions among
vehicles. Within mixed-autonomy traffic environment, modeling a human-like lane-change …

Understanding indoor pollutant sources is crucial because of the prevalence of air pollution
exceeding recommended levels. In addition, different research underscores the link …

Urban pollution poses serious health risks, particularly in relation to traffic-related air
pollution, which remains a major concern in many cities. Vehicle emissions contribute to …

Modeling the driving behavior of human drivers has garnered significant attention recently,
as accurately capturing human behaviors can greatly enhance the prediction capabilities of …