Front and Rear Vehicle Classification

2020 ◽  
pp. 264-272
Author(s):  
Sara Baghdadi ◽  
Noureddine Aboutabit
Keyword(s):  
Vehicle Classification

Big vehicle classification features and their extraction method for multi-lanes roads

2009 ◽  
Vol 29 (2) ◽  
pp. 586-589 ◽  
Author(s):  
Shao-qing MO ◽  
Zheng-guang LIU
Keyword(s):  
Extraction Method ◽  
Vehicle Classification

Vision-based vehicle classification

2002 ◽  
Author(s):  
S. Gupte ◽  
O. Masoud ◽  
P. Papanikolopoulos
Keyword(s):  
Vehicle Classification

scholarly journals Vehicle classification by estimation of the direction angle in a mixed traffic flow

2016 ◽  
Author(s):  
Nguyen Viet Hung ◽  
Nguyen Hoang Dung ◽  
Le Chung Tran ◽  
Thang Manh Hoang ◽  
Nguyen Tien Dzung
Keyword(s):  
Traffic Flow ◽  
Vehicle Classification ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
Direction Angle

Use of Long-Term Pavement Performance Data to Develop Traffic Defaults in Support of Mechanistic-Empirical Pavement Design Procedures

2003 ◽  
Vol 1855 (1) ◽  
pp. 176-182 ◽  
Author(s):  
Weng On Tam ◽  
Harold Von Quintus
Keyword(s):  
Pavement Design ◽  
Vehicle Classification ◽  
Pavement Performance ◽  
Traffic Data ◽  
Design Procedures ◽  
Load Spectra ◽  
State Highway ◽  
Pavement Structures ◽  
Empirical Design

Traffic data are a key element for the design and analysis of pavement structures. Automatic vehicle-classification and weigh-in-motion (WIM) data are collected by most state highway agencies for various purposes that include pavement design. Equivalent single-axle loads have had widespread use for pavement design. However, procedures being developed under NCHRP require the use of axle-load spectra. The Long-Term Pavement Performance database contains a wealth of traffic data and was selected to develop traffic defaults in support of NCHRP 1-37A as well as other mechanistic-empirical design procedures. Automated vehicle-classification data were used to develop defaults that account for the distribution of truck volumes by class. Analyses also were conducted to determine direction and lane-distribution factors. WIM data were used to develop defaults to account for the axle-weight distributions and number of axles per vehicle for each truck type. The results of these analyses led to the establishment of traffic defaults for use in mechanistic-empirical design procedures.

scholarly journals Correction to: Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization

2021 ◽  
Author(s):  
Oscar Esneider Acosta Agudelo ◽  
Carlos Enrique Montenegro Marín ◽  
Rubén González Crespo
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Vehicle Classification ◽  
Road Traffic Noise ◽  
Sound Measurement ◽  
Noise Characterization

Vehicle Classification and Violation Detection on Traffic Light Area using BLOB and Mean-Shift Tracking Method

2020 ◽  
Author(s):  
Mochamad Mobed Bachtiar ◽  
Achmad Rahman Mawardi ◽  
Adnan Rachmat Anom Besari
Keyword(s):  
Mean Shift ◽  
Vehicle Classification ◽  
Traffic Light ◽  
Tracking Method ◽  
Violation Detection ◽  
Light Area

End-to-end quantum-inspired method for vehicle classification based on video stream

2022 ◽  
Author(s):  
Hatim Derrouz ◽  
Alberto Cabri ◽  
Hamd Ait Abdelali ◽  
Rachid Oulad Haj Thami ◽  
François Bourzeix ◽  
...  
Keyword(s):  
Video Stream ◽  
Vehicle Classification ◽  
End To End

scholarly journals Sensor network based vehicle classification and license plate identification system

2009 ◽  
Author(s):  
Jan Frigo ◽  
Vinod Kulathumani ◽  
Sean Brennan ◽  
Ed Rosten ◽  
Eric Raby
Keyword(s):  
Sensor Network ◽  
Vehicle Classification ◽  
Identification System ◽  
License Plate
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