3 papers
cs.ET2026
Machine Learning-Based Delivery Time Prediction for Low-Carbon Food Delivery
Ahmad M. Almasabi, Mariem Belhor, Omar Alam
The increasing demand for online food delivery services has significantly impacted urban logistics, raising critical challenges related to operational efficiency and environmental…
cs.ET2026
Smart Low-Carbon Freight Transport: A Comparative Analysis
Chiamaka Anicho-Okoro, Mariem Belhor, Omar Alam
The decarbonization of freight transport is a major challenge, particularly with the growing demand for last-mile delivery. This paper focuses on low-carbon transport modes for las…
cs.LG2026
Scalable Transit Delay Prediction at City Scale: A Systematic Approach with Multi-Resolution Feature Engineering and Deep Learning
Emna Boudabbous, Mohamed Karaa, Lokman Sboui +2
Urban bus transit agencies need reliable, network-wide delay predictions to provide accurate arrival information to passengers and support real-time operational control. Accurate p…