Drivers' visual distraction detection using facial landmarks and head pose
S Zhang, M Abdel-Aty - Transportation research record, 2022 - journals.sagepub.com
Drivers' distraction has been widely studied in the field of naturalistic driving studies.
However, it is difficult to use traditional variables, such as speed, acceleration, and yaw rate …
However, it is difficult to use traditional variables, such as speed, acceleration, and yaw rate …
Gsta: gated spatial–temporal attention approach for travel time prediction
Accurate travel time prediction between two locations is one of the most substantial services
in transport. In travel time prediction, origin–destination (OD) method is more challenging …
in transport. In travel time prediction, origin–destination (OD) method is more challenging …
Techniques used in Automatic Number Plate Recognition
The Automatic Number Plate Recognition (ANPR) systems typically consist of a camera,
image processing software, and a database system. When a car passes by, the camera …
image processing software, and a database system. When a car passes by, the camera …
Making sense of ANPR data via intelligent spatio-temporal disaggregation of traffic flows
M Dhont, E Tsiporkova… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
It becomes common practice to equip our cities and streets with a wide range of sensors (eg,
cameras, inductive loops and push buttons for pedestrians). Those sensors are paving the …
cameras, inductive loops and push buttons for pedestrians). Those sensors are paving the …
Predicting Bus Travel Time in Cheonan City Through Deep Learning Utilizing Digital Tachograph Data
Urban transportation systems are increasingly burdened by traffic congestion, a
consequence of population growth and heightened reliance on private vehicles. This …
consequence of population growth and heightened reliance on private vehicles. This …
Traffic flow online prediction based on a generative adversarial network with multi-source data
Traffic prediction is essential for advanced traffic planning, design, management, and
network sustainability. Current prediction methods are mostly offline, which fail to capture the …
network sustainability. Current prediction methods are mostly offline, which fail to capture the …
On the use of traffic assignment and microsimulation to predict work zone effects
HV Smith - 2022 - repositories.lib.utexas.edu
The field of transportation modeling exists at a crossroads. Practice lags behind
advancements in theory, software, and computer power. During this transitional phase, it …
advancements in theory, software, and computer power. During this transitional phase, it …