[HTML][HTML] Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights
Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …
information for urban traffic control and management strategies. However, due to the …
Citywide traffic volume estimation using trajectory data
Traffic volume estimation at the city scale is an important problem useful to many
transportation operations and urban applications. This paper proposes a hybrid framework …
transportation operations and urban applications. This paper proposes a hybrid framework …
Network-wide traffic flow estimation with insufficient volume detection and crowdsourcing data
With the rapid development of urbanization and modernization, it is increasingly crucial to
sense network-wide traffic. Network-wide traffic volume information is of great benefit for …
sense network-wide traffic. Network-wide traffic volume information is of great benefit for …
Traffic state estimation near signalized intersections
The primary goal with which any transportation system is designed is to make efficient use of
the available infrastructure to achieve better level of service (LoS). However, LoS is …
the available infrastructure to achieve better level of service (LoS). However, LoS is …
DeepSTD: Mining spatio-temporal disturbances of multiple context factors for citywide traffic flow prediction
Deep learning techniques have been widely applied to traffic flow prediction, considering
underlying routine patterns, and multiple context factors (eg, time and weather). However …
underlying routine patterns, and multiple context factors (eg, time and weather). However …
A tailored machine learning approach for urban transport network flow estimation
This study deals with urban transport network flow estimation based on Cellphone Location
(CL) and License Plate Recognition (LPR) data. We first propose two methods to filter CL …
(CL) and License Plate Recognition (LPR) data. We first propose two methods to filter CL …
Max-pressure traffic controller based on travel times: An experimental analysis
P Mercader, W Uwayid, J Haddad - Transportation Research Part C …, 2020 - Elsevier
The traffic control of an arbitrary network of signalized intersections is considered. This work
presents a new version of the recently proposed max-pressure controller, also known as …
presents a new version of the recently proposed max-pressure controller, also known as …
City-wide traffic volume inference with loop detector data and taxi trajectories
The traffic volume on road segments is a vital property of the transportation efficiency. City-
wide traffic volume information can benefit people with their everyday life, and help the …
wide traffic volume information can benefit people with their everyday life, and help the …
Sequence-to-sequence recurrent graph convolutional networks for traffic estimation and prediction using connected probe vehicle data
A Abdelraouf, M Abdel-Aty… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic estimation is imperative for conducting fundamental transportation engineering tasks
such as transportation planning and traffic safety studies. Additionally, traffic prediction is …
such as transportation planning and traffic safety studies. Additionally, traffic prediction is …
Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data
License-plate recognition (LPR) data are emerging data sources in urban transportation
systems which contain rich information. Large-scale LPR systems have seen rapid …
systems which contain rich information. Large-scale LPR systems have seen rapid …