[HTML][HTML] Individual mobility prediction review: Data, problem, method and application

Z Ma, P Zhang - Multimodal transportation, 2022 - Elsevier
The 'sharing'business models and on-demand services have been altering city dwellers'
travel habits from buying the means of transport to buying mobility services based on needs …

NetTraj: A network-based vehicle trajectory prediction model with directional representation and spatiotemporal attention mechanisms

Y Liang, Z Zhao - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Trajectory prediction of vehicles in city-scale road networks is of great importance to various
location-based applications such as vehicle navigation, traffic management, and location …

Predicting drivers' route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network

B Mo, Q Wang, X Guo, M Winkenbach… - … Research Part E: Logistics …, 2023 - Elsevier
In last-mile delivery, drivers frequently deviate from planned delivery routes because of their
tacit knowledge of the road and curbside infrastructure, customer availability, and other …

[HTML][HTML] Context-aware multi-head self-attentional neural network model for next location prediction

Y Hong, Y Zhang, K Schindler, M Raubal - Transportation Research Part C …, 2023 - Elsevier
Accurate activity location prediction is a crucial component of many mobility applications and
is particularly required to develop personalized, sustainable transportation systems. Despite …

PreCLN: Pretrained-based contrastive learning network for vehicle trajectory prediction

B Yan, G Zhao, L Song, Y Yu, J Dong - World Wide Web, 2023 - Springer
Trajectory prediction of vehicles is of great importance to various smart city applications
ranging from transportation scheduling, vehicle navigation, to location-based …

Potential destination discovery for low predictability individuals based on knowledge graph

G Li, Y Chen, Q Liao, Z He - Transportation Research Part C: Emerging …, 2022 - Elsevier
Travelers may travel to locations they have never visited, which we call potential
destinations of them. Especially under a very limited observation, travelers tend to show …

Short-term trajectory prediction for individual metro passengers integrating diverse mobility patterns with adaptive location-awareness

J Gu, Z Jiang, J Chen - Information Sciences, 2022 - Elsevier
Short-term trajectory prediction (StTP) for individual metro passengers is of great importance
in intelligent transportation systems and real-time security risk management. Existing …

Mcg: Mobility-aware computation offloading in edge using weighted majority game

A Mukherjee, S Ghosh, D De… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Edge computing plays a pivotal role in computation offloading at low latency. However,
selecting the appropriate node to offload a computation is a challenge, especially when the …

[HTML][HTML] A new individual mobility prediction model applicable to both ordinary conditions and large crowding events

B Guo, K Wang, H Yang, F Zhang… - Journal of advanced …, 2023 - hindawi.com
Accurate prediction of individual mobility is crucial for developing intelligent transportation
systems. However, while previous models usually focused on predicting individual mobility …

A Multi-Context Aware Human Mobility Prediction Model Based on Motif-Preserving Travel Preference Learning

Y Chen, N Xie, H Xu, X Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurately predicting human mobility is crucial for various applications, eg, transportation
services, epidemic control, and advertisement recommendation. Although numerous …