Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks

arXiv:2405.02357v1 Announce Type: new
Abstract: Mobility analysis is a crucial element in the research area of transportation systems. Forecasting traffic information offers a viable solution to address the conflict between increasing transportation demands and the limitations of transportation infrastructure. Predicting human travel is significant in aiding various transportation and urban management tasks, such as taxi dispatch and urban planning. Machine learning and deep learning methods are favored for their flexibility and accuracy. Nowadays, with the advent of large language models …

abstract analysis arxiv conflict cs.lg element forecasting human information infrastructure language language models large language large language models limitations mobility research solution survey systems tasks traffic transportation travel type