Accurate detection of traffic accidents as well as condition analysis are essential to effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
Nowadays, more than half of the world's web traffic comes from mobile phones, and by 2020 approximately 70 percent of the world's population will be using smartphones. The …
Urban traffic passenger flows prediction is practically important to facilitate many real applications including transportation management and public safety. Recently, deep …
Traffic congestion occurs when traffic demand is greater than the available network capacity. It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …
X Zhang, Y Zhang, S Wang, Y Yao, B Fang… - Knowledge-Based …, 2018 - Elsevier
Traditional stock market prediction approaches commonly utilize the historical price-related data of the stocks to forecast their future trends. As the Web information grows, recently …
Z Huang, X Ling, P Wang, F Zhang, Y Mao, T Lin… - … research part C …, 2018 - Elsevier
Even though a variety of human mobility models have been recently developed, models that can capture real-time human mobility of urban populations in a sustainable and economical …
S Wang, H Miao, H Chen, Z Huang - Proceedings of the 29th ACM …, 2020 - dl.acm.org
Crowd flow prediction, which aims to predict the in-out flows (eg the traffic of crowds, taxis and bikes) of different areas of a city, is critically important to many real applications …
R Wang, S Wang, H Yan, X Wang - … of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
Predicting motions of surrounding vehicles is critically important to help autonomous driving systems plan a safe path and avoid collisions. Although recent social pooling based LSTM …
Urban road travel time estimation and prediction on a citywide scale is a necessary and important task for recommending optimal travel paths. However, this problem has not yet …