Results 271 to 280 of about 1,128,066 (300)

Traffic speed forecasting by mixture of experts

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011
Traffic speed is one of the most important quantities for travel information systems. Accurate speed forecasting can help in trip planning by allowing travelers to avoid the congested routes, either by choosing the alternative routes or by changing the departure time. It is also helpful for traffic monitoring, control, and planning.
Vladimir Coric, Zhuang Wang, Slobodan Vucetic   +2 more
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Modelling of traffic forecasts

2021
KIRMACI, İ. (1995) : Modelling of Traffic Forecasts. Dokuz Eylül University, Graduate School of Natural and Applied Sciences, Izmir. In Partial Fulfillment of Master of Sciences Degree in Civil Engineering. ABSTRACT The demands of human beings and the rapid development of automobile industry have forced the highway and traffic engineer to keep up with ...
openaire   +1 more source

TRAFFIC FORECAST IN LARGE SCALE FREEWAY NETWORKS

International Journal of Bifurcation and Chaos, 2004
Traffic flow in large and complex freeway networks is a highly nonlinear phenomenon, which makes traffic forecast a difficult task. In this article an approach to traffic forecast is presented, which uses a micro-simulator for traffic flow combined with current and historical traffic data.
Roland Chrobok, Andreas Pottmeier, Sigurdur F. Hafstein, Michael Schreckenberg   +3 more
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GraphSAGE-Based Traffic Speed Forecasting for Segment Network With Sparse Data

IEEE Transactions on Intelligent Transportation Systems, 2022
Xiqun, Jielun Liu, Ghim Ping Ong
exaly  

Traffic Forecasts

1998
S CULLINANE, G STOKES
openaire   +1 more source

Graph Markov network for traffic forecasting with missing data

Transportation Research Part C: Emerging Technologies, 2020
Yinhai Wang, Zhiyong Cui, Ziyuan Pu
exaly  

MixHop Graph WaveNet for Traffic Forecasting

2022
Bing Ba, Qi Fu, Chongjing Hang, Yunxia Jiang   +3 more
openaire   +2 more sources

Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)

Transportation Research Part C: Emerging Technologies, 2020
Keemin Sohn
exaly  

A bayesian network approach to traffic flow forecasting

IEEE Transactions on Intelligent Transportation Systems, 2006
Guoqiang Yu
exaly  

Spatiotemporal traffic forecasting: review and proposed directions

Transport Reviews, 2018
Alireza Ermagun, David M. Levinson
exaly