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Origin-destination travel time oracle for map-based services
Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD)
travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from O to D …
travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from O to D …
Multi-faceted route representation learning for travel time estimation
Travel time estimation (TTE) is a fundamental and challenging problem for navigation and
travel planning. Though many efforts have been devoted to this task, most of the previous …
travel planning. Though many efforts have been devoted to this task, most of the previous …
Knowledge distillation for travel time estimation
Travel time estimation (TTE) is a critical component of intelligent transportation systems. To
achieve efficient and accurate trajectory-based travel time estimation, it is essential to design …
achieve efficient and accurate trajectory-based travel time estimation, it is essential to design …
Filtering limited automatic vehicle identification data for real-time path travel time estimation without ground truth
Automatic Vehicle Identification (AVI) technology has been widely used for real-time path
travel time estimation. For a study path equipped with AVI sensors at both ends, the …
travel time estimation. For a study path equipped with AVI sensors at both ends, the …
Metastnet: Multimodal meta-learning for cellular traffic conformal prediction
Network traffic prediction techniques have attracted much attention since they are valuable
for network congestion control and user experience improvement. While existing prediction …
for network congestion control and user experience improvement. While existing prediction …
Link representation learning for probabilistic travel time estimation
TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach--Forget the Maps and Traffic!
The abundance of vehicle trajectory data offers a new opportunity to compute driving routes
between origins and destinations. Current graph-based routing pipelines, while effective …
between origins and destinations. Current graph-based routing pipelines, while effective …
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
P Zhang, D Lei, S Liu, H Jiang - … research part E: logistics and transportation …, 2024 - Elsevier
Driver-preferred route planning often evaluates the quality of a planned route based on how
closely it is followed by the driver. Despite decades of research in this area, there still exist …
closely it is followed by the driver. Despite decades of research in this area, there still exist …
A preference-aware meta-optimization framework for personalized vehicle energy consumption estimation
Vehicle Energy Consumption (VEC) estimation aims to predict the total energy required for a
given trip before it starts, which is of great importance to trip planning and transportation …
given trip before it starts, which is of great importance to trip planning and transportation …
Transformer-based travel time estimation method for plateau and mountainous environments
G Qu, K Zhou, R Wang, D Li, Y Lu, Z Lv, D Zhao… - Scientific Reports, 2025 - nature.com
Travel time estimation (TTE) is a critical function in intelligent driving systems. Current
research and applications related to TTE primarily focus on urban environments. The …
research and applications related to TTE primarily focus on urban environments. The …