Effect of Field Setup on Accuracy of Traffic Data Collection Using Machine Vision Technology

2002 ◽  
Vol 1804 (1) ◽  
pp. 62-66 ◽  
Author(s):  
Sunita Nadella ◽  
Lloyd A. Herman
Keyword(s):  
Machine Vision ◽  
Focal Length ◽  
Reference Points ◽  
Specific Reference ◽  
Traffic Data ◽  
Video Traffic ◽  
Vertical Angle ◽  
Traffic Data Collection ◽  
Camera Position ◽  
Parameter Ranges

Video traffic data were collected in 24 combinations of four different camera position parameters. A machine vision processor was used to detect vehicle speeds and volumes from the videotapes. The machine vision results were then compared with the actual vehicle volumes and speeds to give the percentage errors in each case. The results of the study provide a procedure with which to establish camera position parameters with specific reference points to help machine vision users select suitable camera positions and develop appropriate measurement error expectations. The camera position parameters that were most likely to produce the least overall volume and speed errors, for the specific site and field setup with the parameter ranges used in this study, were the low height of approximately 7.6 m (25 ft), with an upstream orientation (traffic moving toward the camera), a 50-mm (midangle) focal length, and a 15° vertical angle.

Accuracy of a Traffic Noise Model Using Data from Machine Vision Technology

2005 ◽  
Vol 1941 (1) ◽  
pp. 155-160
Author(s):  
Lloyd Herman ◽  
Sunita Nadella
Keyword(s):  
Data Collection ◽  
Machine Vision ◽  
Noise Level ◽  
Traffic Noise ◽  
Reference Points ◽  
Noise Model ◽  
Specific Reference ◽  
Attractive Alternative ◽  
Traffic Data ◽  
Vehicle Class

The FHWA Traffic Noise Model is used in a variety of applications to predict noise levels at locations of interest in the vicinity of streets and highways. The model's traffic noise source characterization process requires the user to supply the volumes and speeds for each vehicle class for each lane of roadway to be modeled. Using these parameters, along with algorithms developed from typical vehicle pass-by data, the program calculates the vehicle noise emission levels for each vehicle class. The accuracy of the user-supplied traffic parameters, therefore, affects the final noise level prediction. Automated traffic data collection technologies offer an attractive alternative to manual data collection for high-volume roadways. The accuracy of noise model predictions was investigated for the machine vision technology, which uses video-based traffic detection with a procedure developed to determine the effect of video equipment setup parameters on traffic data acquisition accuracy, and the range of expected errors was found to be ± 12%. It was found that the range of traffic volume errors produced a range in predicted noise level error of less than ±0.6 dB and that the range of traffic speed errors produced a range in predicted noise level error of less than ±1.0 dB. The results of the study provide a procedure to help machine vision users establish camera position parameters with specific reference points to limit noise prediction errors to acceptable values.

OPTIMIZATION OF SURGICAL-ORTHODONTIC TREATMENT TACTICS IN PATIENTS WITH IMPACTED TEETH

2019 ◽  
Vol 72 (5) ◽  
pp. 838-845
Author(s):  
Pavlo I. Tkachenko ◽  
Maryna I. Dmytrenko ◽  
Mykola O. Cholovskyi
Keyword(s):  
Orthodontic Treatment ◽  
Objective Assessment ◽  
Optimal Path ◽  
Reference Points ◽  
Permanent Teeth ◽  
Diagnostic Process ◽  
Specific Reference ◽  
Dental Arch ◽  
Impacted Tooth ◽  
Impacted Teeth

Introduction: Impacted teeth is complex anomaly of teeth eruption that requires a balanced approach not only in the differential diagnosis of its forms, but choice of rational methods of treatment. The aim: Optimization of the tactics of orthodontic-surgical treatment of patients with impacted teeth based on the development and implementation of computed tomographic indices (KT) and photometric indices (FM) of opening of surgical access (OSA) to crowns of impacted teeth Materials and methods: The results of treatment of 48 patients with delay of permanent teeth eruption have been analyzed. For an objective assessment of treatment results, a group of 24 (aged from 9 to 19 years old ) was formed. All 24 patients had typical clinical situation. Results: Orthodontic correction of patients envisaged, first of all, the elimination of obstacles in the way of teeth eruption, if necessary to provide space in dental arch and simultaneous treatment of associated bite malocclusions. Surgical exposure of impacted tooth crown was carried out and at the same time a triangular shaped guiding channel was formed, base of channel was at the impacted tooth and its angle finished into the dental arch. Precise dimensions and depth of the channel were preliminary planed on computed tomography slices with 3D reconstruction. Mean values of CT width (7,13±0,54mm), and length (6,42±0,78mm) of OSA and CT index (130,79±8,19%) of OSA to impacted teeth crowns were determined. Conclusion: To improve the quality of diagnosis and optimization of methodological approaches to treatment of patients with teeth impaction, we have proposed CT and FM OSA indices to the crowns of impacted teeth. The developed indices serve as specific reference points for optimization of diagnostic process, for reducing of probability of repeated surgical interventions and choosing the optimal path for instrumental orthodontic treatment of patients with impacted teeth

Real-Time Traffic Measurement from Single Loop Inductive Signatures

2002 ◽  
Vol 1804 (1) ◽  
pp. 98-106 ◽  
Author(s):  
Seri Oh ◽  
Stephen G. Ritchie ◽  
Cheol Oh
Keyword(s):  
Real Time ◽  
The United States ◽  
Traffic Data ◽  
Traffic Surveillance ◽  
Vehicle Class ◽  
Traffic Measurement ◽  
Single Loop ◽  
Loop Detectors ◽  
Real Time Traffic ◽  
Traffic Data Collection

Accurate traffic data acquisition is essential for effective traffic surveillance, which is the backbone of advanced transportation management and information systems (ATMIS). Inductive loop detectors (ILDs) are still widely used for traffic data collection in the United States and many other countries. Three fundamental traffic parameters—speed, volume, and occupancy—are obtainable via single or double (speed-trap) ILDs. Real-time knowledge of such traffic parameters typically is required for use in ATMIS from a single loop detector station, which is the most commonly used. However, vehicle speeds cannot be obtained directly. Hence, the ability to estimate vehicle speeds accurately from single loop detectors is of considerable interest. In addition, operating agencies report that conventional loop detectors are unable to achieve volume count accuracies of more than 90% to 95%. The improved derivation of fundamental real-time traffic parameters, such as speed, volume, occupancy, and vehicle class, from single loop detectors and inductive signatures is demonstrated.

scholarly journals Vision-Based Traffic Data Collection Sensor for Automotive Applications

Sensors ◽  
2010 ◽  
Vol 10 (1) ◽  
pp. 860-875 ◽  
Author(s):  
David F. Llorca ◽  
Sergio Sánchez ◽  
Manuel Ocaña ◽  
Miguel. A. Sotelo
Keyword(s):  
Data Collection ◽  
Traffic Data ◽  
Automotive Applications ◽  
Traffic Data Collection

Road traffic data collection

2020 ◽  
pp. 5-26
Author(s):  
Paul Burton ◽  
Neil Hoose
Keyword(s):  
Data Collection ◽  
Road Traffic ◽  
Traffic Data ◽  
Traffic Data Collection

Traffic Data Collection with TerraSAR-X and Performance Evaluation

2010 ◽  
pp. 87-108
Author(s):  
Stefan Hinz ◽  
Steffen Suchandt ◽  
Diana Weihing ◽  
Franz Kurz
Keyword(s):  
Performance Evaluation ◽  
Data Collection ◽  
Traffic Data ◽  
Traffic Data Collection ◽  
And Performance

scholarly journals Heavy Traffic Data Collection and Detection of Overloaded HGV

2012 ◽  
Vol 48 ◽  
pp. 133-143
Author(s):  
Daniel Stanczyk ◽  
Eric Klein
Keyword(s):  
Data Collection ◽  
Heavy Traffic ◽  
Traffic Data ◽  
Traffic Data Collection
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