Research on the Development of Modern Design Through Data Mining Technology

X Meng - Informatica, 2024 - informatica.si
Logistics operations heavily rely on efficient route planning and optimization to ensure the
smooth flow of goods and services. To enhance these processes, the simulation of logistics …

Spatial–Temporal Fusion Gated Transformer Network (STFGTN) for Traffic Flow Prediction

H **e, X Fan, K Qi, D Wu, C Ren - Electronics, 2024 - mdpi.com
Traffic flow prediction is essential for smart city management and planning, aiding in
optimizing traffic scheduling and improving overall traffic conditions. However, due to the …

LaDe: The First Comprehensive Last-mile Express Dataset from Industry

L Wu, H Wen, H Hu, X Mao, Y **a, E Shan… - Proceedings of the 30th …, 2024 - dl.acm.org
Real-world last-mile express datasets are crucial for research in logistics, supply chain
management, and spatio-temporal data mining. Despite a plethora of algorithms developed …

SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation

C Xu, Q Wang, L Sun - arxiv preprint arxiv:2411.18484, 2024 - arxiv.org
Accurate travel time estimation is essential for navigation and itinerary planning. While
existing research employs probabilistic modeling to assess travel time uncertainty and …

Balancing Efficiency and Experience: A Predictive Cyber Physical System (CPS) for Urban Logistics

S Zhong - 2024 - search.proquest.com
Abstract Cyber-Physical Systems (CPS) integrate physical entities with information systems,
enabling sensing, decision-making, and control actions, which has driven the development …

Research on Road Surface Ice and Snow Cover Detection Method Combining Hpc-D Segmentation Algorithm with Sci Illumination Enhancement Model

Y Sen, L Chengwei, S Wenlong, Y Changqun - Lei and Wenlong, Song … - papers.ssrn.com
Under rainy and snowy weather conditions, the presence of water, ice, and snow coverings
significantly affects the stability, braking distance, and braking time of vehicles, making the …