In order to lay the foundation for understanding the open research challenges in traffic prediction, this survey aims to provide a comprehensive overview of traffic prediction methodologies. Specifically, we focus on the recent advances and emerging research opportunities in Artificial Intelligence (AI)-...
The cellular network would increase the energy consumption, which can be alleviated by using the network adaptively, e.g., smart base station sleeping strategies can be designed based on traffic prediction. Further applications based on cellular traffic prediction would be discussed in Section 4. ...
deep-learning toolkit traffic eta map-matching representation-learning on-demand-service spatio-temporal traffic-prediction trajectory-prediction time-series-prediction spatio-temporal-prediction traffic-flow-prediction pytorch-implementation od-matrix traffic-forecasting estimated-time-of-arrival traffic-accident-...
Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet 来自 arXiv.org 喜欢 0 阅读量: 310 作者:B Wang,R Mohajerpoor,C Cai,I Kim,HL Vu 摘要: The IARAI competition Traffic4cast 2021 aims to predict short-term city-wide high-resolution traffic states given the ...
risk maps, which are created using a combination of historical crash data, road maps,satellite imagery, and GPS traces, represent the projected number of crashes during a specified time period in the future, allowing for the identification of high-risk locations and the prediction of future ...
Transportation is the number one source of planet-warming emissions in the U.S. A new project from Google is using AI to cut down on stop-and-go traffic, which in turn will help reduce emissions. Ben Tracy has the story.Jan 3, 2024...
"Shift a few seconds from here to there and that shift can have a big impact," she told CBS News. Google's new Project Green Light system uses the company's vast maps database and AI to optimize traffic lights around the world. The system suggests changes and city engineers then decide...
Traffic Flow Prediction Model of BP Neural Network Based on Adaptive Genetic Algorithm Optimization Short-term traffic flow is a kind of strong random data, which is not only affected by historical data of upstream and downstream, but also related to weat... MZ Wang,X Ai,K Qin,... 被引量...
In case relays are used, data prediction and aggregation techniques could be implemented to make more efficient transmissions [120]. Another challenge is the assessment of the efficiency of IEEE 802.11ah PS mechanisms, including their optimisation. In [111], the authors evaluate the capacity of ...
Urban Traffic Flow Prediction by Using GPS and Neural Networks Theory In urban traffic networks there are "main roads" 鈥 usually the largest ones, with best pavement maintenance 鈥 familiar to many people, but, there are als... A Meneses,AI Osório 被引量: 3发表: 2004年 A neuro-fuzzy ...