Search Results for author:
Found 6 papers, 1 papers with code
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study
Forecasting the short-term spread of an ongoing disease outbreak is a formidable challenge due to the complexity of contributing factors, some of which can be characterized through interlinked, multi-modality variables such as epidemiological time series data, viral biology, population demographics, and the intersection of public policy and human behavior.
Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models
Achieving both accuracy and responsibility in traffic prediction models remains a challenge due to the complexity of traffic data and the inherent opacity of deep learning models.
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
To the best of our knowledge, this is the first attempt to utilize LLMs for predicting lane change behavior.
Research and Optimization of Heliostat Field Layout Based on Mixed Strategy Whale Optimization Algorithm
For the above problems, the new heliostatic field layout derived based on the idea of radiation grid layout and the no-occlusion principle is studied。At the same time, the detailed calculation process of the shadow occlusion efficiency is given in the process of establishing the optical efficiency model, and then the key parameters in the mirror field layout are optimized in combination with the intelligent optimization algorithm.
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer
Through cross-attention between encoder and decoder, the decoder learns to build a connection between historical driving and future LV speed, based on which a prediction of future FV speed can be obtained.
Personalized Context-Aware Multi-Modal Transportation Recommendation
Also, results of the multinomial logit model show that (1) an increase in travel cost would decrease the utility of all the transportation modes; (2) people are less sensitive to the travel distance for the metro mode or a multi-modal option that containing metro, i. e., compared to other modes, people would be more willing to tolerate long-distance metro trips.
