Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …

Decision-making and planning are the core aspects of autonomous driving systems. These
factors are crucial for improving the safety, driving experience, and travel efficiency of …

In the era of big data and cloud computing, digital records of supermarket sales data and
other accompanying factors are ubiquitous. However, less than optimal WeeklySale s can …

The interactions between vehicles and pedestrians are complex due to their
interdependence and coupling. Understanding these interactions is crucial for the …

Sales forecasting is crucial in the food industry, which experiences high levels of food sales
and demand. The industry has concentrated on a well-known and established statistical …

Although traffic deadlock at an intersection is a common phenomenon during rush hours, the
deadlock formation metrics such as formation probability and duration have not been …

The paper introduces an interpretable machine learning technique SHAP (SHapley Additive
exPlanation) to analyze the vehicle yielding behaviors during pedestrian-vehicle …

E-commerce sales data often exhibit complex time series characteristics and are influenced
by multiple factors, making traditional forecasting methods inadequate in capturing these …

Road accidents involving autonomous vehicles commonly occur in situations where a
(pedestrian) obstacle presents itself in the path of the moving vehicle at very sudden time …

Pedestrians' daily walking behaviours involve transitioning urban spaces with different
functions in the pedestrian transportation. Current research has extensively investigated …