A survey on service route and time prediction in instant delivery: Taxonomy, progress, and prospects
Instant delivery services, such as food delivery and package delivery, have achieved
explosive growth in recent years by providing customers with daily-life convenience. An …
explosive growth in recent years by providing customers with daily-life convenience. An …
A Survey of Generative AI for Intelligent Transportation Systems
Intelligent transportation systems play a crucial role in modern traffic management and
optimization, greatly improving traffic efficiency and safety. With the rapid development of …
optimization, greatly improving traffic efficiency and safety. With the rapid development of …
A survey on diffusion models for time series and spatio-temporal data
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 …
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …
[HTML][HTML] Bayesian Modeling of Travel Times on the Example of Food Delivery: Part 2—Model Creation and Handling Uncertainty
J Pomykacz, J Gibas, J Baranowski - Electronics, 2024 - mdpi.com
The e-commerce sector is in a constant state of growth and evolution, particularly within its
subdomain of online food delivery. As such, ensuring customer satisfaction is critical for …
subdomain of online food delivery. As such, ensuring customer satisfaction is critical for …
Link Representation Learning for Probabilistic Travel Time Estimation
C Xu, Q Wang, L Sun - arXiv preprint arXiv:2407.05895, 2024 - arxiv.org
Travel time estimation is a crucial application in navigation apps and web mapping services.
Current deterministic and probabilistic methods primarily focus on modeling individual trips …
Current deterministic and probabilistic methods primarily focus on modeling individual trips …
PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba
Vehicle trajectories provide crucial movement information for various real-world
applications. To better utilize vehicle trajectories, it is essential to develop a trajectory …
applications. To better utilize vehicle trajectories, it is essential to develop a trajectory …
Diffusion Models for Intelligent Transportation Systems: A Survey
Intelligent Transportation Systems (ITS) are vital in modern traffic management and
optimization, significantly enhancing traffic efficiency and safety. Recently, diffusion models …
optimization, significantly enhancing traffic efficiency and safety. Recently, diffusion models …
GenSTL: General Sparse Trajectory Learning via Auto-regressive Generation of Feature Domains
Trajectories are sequences of timestamped location samples. In sparse trajectories, the
locations are sampled infrequently; and while such trajectories are prevalent in real-world …
locations are sampled infrequently; and while such trajectories are prevalent in real-world …
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability
Vehicle trajectories provide valuable movement information that supports various
downstream tasks and powers real-world applications. A desirable trajectory learning model …
downstream tasks and powers real-world applications. A desirable trajectory learning model …
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Uncertainty quantification in travel time estimation (TTE) aims to estimate the confidence
interval for travel time, given the origin (O), destination (D), and departure time (T) …
interval for travel time, given the origin (O), destination (D), and departure time (T) …