Results 301 to 310 of about 23,681,723 (385)
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An Ensemble Broad Learning Scheme for Semisupervised Vehicle Type Classification
IEEE Transactions on Neural Networks and Learning Systems, 2021Nowadays vehicle type classification is a fundamental part of intelligent transportation systems (ITSs) and is widely used in various applications like traffic flow monitoring, security enforcement, and autonomous driving, etc.
Li Guo, Run-Ze Li, B. Jiang
semanticscholar +1 more source
Travel Behaviour & Society, 2022
This study applies latent class cluster analysis to a sample of 1,111 survey respondents in Georgia, identifying naturally occurring vehicle type segments based on the influence of both individual vehicle type choices and household vehicle fleet ...
Xin-Yi Wang, F. Shaw, P. Mokhtarian
semanticscholar +1 more source
This study applies latent class cluster analysis to a sample of 1,111 survey respondents in Georgia, identifying naturally occurring vehicle type segments based on the influence of both individual vehicle type choices and household vehicle fleet ...
Xin-Yi Wang, F. Shaw, P. Mokhtarian
semanticscholar +1 more source
Classification of adaptive cruise control vehicle type based on car following trajectories
International Conference on Intelligent Transportation Systems, 2021The emergence of vehicles with driver-assist features or other automated driving capabilities has been shown to dramatically alter traffic dynamics at the aggregate level.
Tianyi Li, R. Stern
semanticscholar +1 more source
Relationship of pedestrian crash types and passenger vehicle types
Journal of Safety Research, 2022This is the first known study that examines the association between common pedestrian crash types and passenger vehicle types.The analysis included single-vehicle, single-pedestrian crashes from two data sets: North Carolina state crash data and the Fatality Analysis Reporting System (FARS).
Wen Hu, Jessica B. Cicchino
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Comparison of Faster-RCNN, YOLO, and SSD for Real-Time Vehicle Type Recognition
2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia), 2020This paper studies a method to recognize vehicle types based on deep learning model. Faster-RCNN, YOLO, and SSD, which can be processed in real-time and have relatively high accuracy, are presented in this paper.
Jeong-ah Kim, Ju-Yeong Sung, Se-Ho Park
semanticscholar +1 more source
Electric Vehicles and Their Types
2023Electric vehicles are the only way to reduce greenhouse toxic gases. Electric vehicles, including battery vehicles, hybrid vehicles, plug-in hybrid vehicles, fuel cell electrical vehicles, are the most commonly used transports recently. There are some major obstacles for EV to overcome before totally replacing IC engine vehicles including EV ...
Vigneshwaran A., Naveen Kumar K. A.
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Identification system of the type of vehicle
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010The identification of objects is a difficult task because the objects of the real-world are highly variable in aspect, size, color, position in space, etc. The system of identification of object must thus have a very great adaptability. In this article we present a system of identification of the type (model) of vehicles per vision. Several geometrical
Chauvet, Pierre +2 more
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The Vehicle Scheduling Problem with Multiple Vehicle Types
Journal of the Operational Research Society, 1988The paper is concerned with a special scheduling problem: for given start locations, end locations and start time intervals find a feasible schedule with minimal operating costs. The problem formulation is extended to the case of multiple vehicle types.
Ferland, Jacques A., Michelon, Philippe
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Analysis of child–vehicle collision injuries by vehicle type
Journal of Pediatric Surgery, 2013This study aimed to determine the severity of injuries to each body region of child pedestrians struck by different types of vehicles.We collected in-depth data from the Institute for Traffic Accident Research and Data Analysis on pedestrians younger than 13 years with any bodily injuries from collisions with vehicles between 1993 and 2004.Sixty-eight ...
Hitoshi, Kawato +4 more
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IEEE transactions on intelligent transportation systems (Print), 2020
Recently, vehicle type recognition in surveillance images with deep learning has received significant attention in various applications of intelligent transportation systems. However, annotating large-scale images from many surveillance images is tedious
Yue Huang +4 more
semanticscholar +1 more source
Recently, vehicle type recognition in surveillance images with deep learning has received significant attention in various applications of intelligent transportation systems. However, annotating large-scale images from many surveillance images is tedious
Yue Huang +4 more
semanticscholar +1 more source

