Traffic Graph Convolutional Network for Dynamic Urban Travel Speed Estimation
The dynamic urban link travel speed estimation (DU-LSE) problem has been studied
extensively with approaches ranging from model to data driven since it benefits multiple …
extensively with approaches ranging from model to data driven since it benefits multiple …
Long-term traffic flow estimation: a hybrid approach using location-basedtraffic characteristic
T AYAR, F Atlinar, MA Güvensan… - Turkish Journal of …, 2022 - journals.tubitak.gov.tr
Traffic speed estimation plays a key role in various situations, ranging from individual's trip
planning to urban traffic management. Despite many studies on short-term prediction, there …
planning to urban traffic management. Despite many studies on short-term prediction, there …
Vehicle travel time estimation using sequence prediction
G Gündüz, T Acarman - Promet-Traffic&Transportation, 2020 - hrcak.srce.hr
Sažetak This paper proposes a region-based travel time and traffic speed prediction method
using sequence prediction. Floating Car Data collected from 8,317 vehicles during 34 days …
using sequence prediction. Floating Car Data collected from 8,317 vehicles during 34 days …
Travel time prediction for origin-destination pairs without route specification in urban network
Travel time prediction is one of the important traffic information for both individual travelers
and road system authorities. So, many researchers have developed several techniques for …
and road system authorities. So, many researchers have developed several techniques for …
[引用][C] Travel time variability in a commuting corridor: implications for electronic route guidance
EG Jones - INTERNATIONAL CONFERENCE ON APPLICATIONS …, 1989 - trid.trb.org
ON APPLICATIONS OF ADVANCED TECHNOLOGIES IN TRANSPORTATION ENGINEERI-
BY ELIZABETH G. JONES... ILLUSTRATED BIBLIOGRAPHY: P. 32 NOTE: SOURCE IS …
BY ELIZABETH G. JONES... ILLUSTRATED BIBLIOGRAPHY: P. 32 NOTE: SOURCE IS …
Short-term traffic speed forecasting based on data recorded at irregular intervals
Recent growth in demand for proactive real-time transportation management systems has
led to major advances in short-time traffic forecasting methods. Recent studies have …
led to major advances in short-time traffic forecasting methods. Recent studies have …
Short Term Traffic Flow Prediction Based on Combination of Predictive Models
LI Ying-Hong, L Le-min, W Yu-quan - Journal of Transportation Systems …, 2013 - tseit.org.cn
In modern intelligent transportation systems, short term traffic flow forecasting is one of the
key technologies to achieve a real time traffic control and traffic guidance. In order to …
key technologies to achieve a real time traffic control and traffic guidance. In order to …
Road network state estimation using random forest ensemble learning
Network-scale travel time prediction not only enables traffic management centers (TMC) to
proactively implement traffic management strategies, but also allows travelers make …
proactively implement traffic management strategies, but also allows travelers make …
[HTML][HTML] Short-term traffic forecasting: An LSTM network for spatial-temporal speed prediction
Traffic forecasting remains an active area of research in the transport and data science
fields. Decision-makers rely on traffic forecasting models for both policy-making and …
fields. Decision-makers rely on traffic forecasting models for both policy-making and …
[PDF][PDF] Avoiding oscillations due to intelligent route control systems.
R Gao, C Dovrolis, EW Zegura - INFOCOM, 2006 - sites.cc.gatech.edu
Intelligent Route Control (IRC) systems are increas-ingly deployed in multihomed networks.
IRC systems aim to optimize the cost and performance of outgoing traffic, based on …
IRC systems aim to optimize the cost and performance of outgoing traffic, based on …