Next Location Prediction

Next location prediction aims to forecast an individual's next destination based on their past movements and contextual information, with applications ranging from urban planning to personalized recommendations. Current research emphasizes the use of deep learning architectures, including transformers and recurrent neural networks like LSTMs, to capture complex spatio-temporal patterns in mobility data, often incorporating auxiliary information such as travel mode and land use. Significant efforts focus on improving model accuracy, efficiency (especially for deployment on resource-constrained devices), and addressing privacy concerns through federated learning approaches. These advancements hold promise for optimizing resource allocation, improving transportation systems, and enhancing location-based services.

Papers

November 7, 2024

TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
Shang-Ling Hsu, Emmanuel Tung, John Krumm, Cyrus Shahabi, Khurram Shafique
Multi Task Trajectory Generation Synthetic Trajectory GPS Trajectory Spatiotemporal Transformer Next Location Prediction

October 11, 2024

nextlocllm: next location prediction using LLMs
Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
Medical LLM Robust Generalization Point of Interest Next Location Prediction Trajectory Embeddings

May 31, 2024

Large Language Models are Zero-Shot Next Location Predictors
Ciro Beneduce, Bruno Lepri, Massimiliano Luca
Zero Shot Next Location Prediction Mobility Datasets

May 29, 2024

Pretrained Mobility Transformer: A Foundation Model for Human Mobility
Xinhua Wu, Haoyu He, Yanchao Wang, Qi Wang
Foundation Model Pre Trained Human Mobility Next Location Prediction Location Data User Trajectory

February 1, 2024

An Accurate and Low-Parameter Machine Learning Architecture for Next Location Prediction
Calvin Jary, Nafiseh Kahani
Parameter Efficient Mobility Data Machine Learning Architecture Next Location Prediction Trainable Parameter

January 23, 2024

Enhancing Next Destination Prediction: A Novel Long Short-Term Memory Neural Network Approach Using Real-World Airline Data
Salih Salihoglu, Gulser Koksal, Orhan Abar
Long Short Term Memory Next Location Prediction Destination Prediction

January 16, 2024

Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art
Alireza Nezhadettehad, Arkady Zaslavsky, Rakib Abdur, Siraj Ahmed Shaikh, Seng W. Loke, Guang-Li Huang, Alireza Hassani
State of the Art Next Location Prediction

December 6, 2023

FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning
Chung Park, Taekyoon Choi, Taesan Kim, Mincheol Cho, Junui Hong, Minsung Choi, Jaegul Choo
Trajectory Data Trajectory Datasets Next Location Prediction

November 20, 2023

Revealing behavioral impact on mobility prediction networks through causal interventions
Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Perez-Cruz, Martin Raubal
Causal Intervention Mobility Prediction Next Location Prediction Mobility Model

August 10, 2023

Exploring Deep Learning Approaches to Predict Person and Vehicle Trips: An Analysis of NHTS Data
Kojo Adu-Gyamfi, Sharma Anuj
Deep Learning General Analysis Data Driven Person Name Travel Demand Next Location Prediction Household Travel Survey

December 4, 2022

Context-aware multi-head self-attentional neural network model for next location prediction
Ye Hong, Yatao Zhang, Konrad Schindler, Martin Raubal
Multi Head Self Attention Spatio Temporal Context Next Location Prediction Destination Prediction

October 8, 2022

How do you go where? Improving next location prediction by learning travel mode information using transformers
Ye Hong, Henry Martin, Martin Raubal
Transformer Megatron Decepticons Human Mobility Travel Mode Location Prediction Next Location Prediction

June 12, 2022

Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network
Zongyuan Huang, Shengyuan Xu, Menghan Wang, Hansi Wu, Yanyan Xu, Yaohui Jin
Causal Structure Causal Event Next Location Prediction Human Mobility Prediction

March 7, 2022

Trajectory Test-Train Overlap in Next-Location Prediction Datasets
Massimiliano Luca, Luca Pappalardo, Bruno Lepri, Gianni Barlacchi
Handwritten Trajectory Human Mobility Next Location Prediction

December 15, 2021

SanMove: Next Location Recommendation via Self-Attention Network
Huifeng Li, Bin Wang, Sulei Zhu, Yanyan Xu
Mobility Data Self Attention Network Location Based Social Network Next Location Prediction

Next Location Prediction

Papers

TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model

nextlocllm: next location prediction using LLMs

Large Language Models are Zero-Shot Next Location Predictors

Pretrained Mobility Transformer: A Foundation Model for Human Mobility

An Accurate and Low-Parameter Machine Learning Architecture for Next Location Prediction

Enhancing Next Destination Prediction: A Novel Long Short-Term Memory Neural Network Approach Using Real-World Airline Data

Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art

FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning

Revealing behavioral impact on mobility prediction networks through causal interventions

Exploring Deep Learning Approaches to Predict Person and Vehicle Trips: An Analysis of NHTS Data

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

How do you go where? Improving next location prediction by learning travel mode information using transformers

Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network

Trajectory Test-Train Overlap in Next-Location Prediction Datasets

SanMove: Next Location Recommendation via Self-Attention Network