Probe vehicle: a comparison of motorway performance measure with other motorway flow detection techniques

2002 ◽  
Author(s):  
R. Kolbl
Keyword(s):  
Performance Measure ◽  
Detection Techniques ◽  
Probe Vehicle ◽  
Flow Detection

Gas-Liquid Two-Phase Flow Detection Techniques Based on Internal and External Tube Differential Pressure Flowmeter

2014 ◽  
Vol 568-570 ◽  
pp. 363-369
Author(s):  
Li Li Pang ◽  
Han Chuan Dong ◽  
Yun Shi ◽  
Li De Fang
Keyword(s):  
Cfd Simulation ◽  
Two Phase Flow ◽  
Theoretical Models ◽  
Differential Pressure ◽  
Phase Flow ◽  
Two Phase ◽  
Modified Model ◽  
Detection Techniques ◽  
External Tube ◽  
Flow Detection

The gas-liquid two-phase flow exists widely in nature and in our daily life, to realize the phase flow does not separate online measurement has become an important subject in the study. Through CFD simulation experiment, the optimal structure of inner and outer tube differential pressure flowmeter prototype. Through the analysis of the experimental data, comparison of the classical theoretical models found high Chishlom prediction model error is minimum. Moisture the modified model, the relative error of measurement is better than in the range of experiment 5%.

Third-Party Data Fusion to Estimate Freeway Performance Measures

2021 ◽  
pp. 036119812110242
Author(s):  
Sakib Mahmud Khan ◽  
Anthony David Patire
Keyword(s):  
Travel Time ◽  
Performance Measures ◽  
Traditional Method ◽  
Estimation Method ◽  
Performance Measure ◽  
Third Party ◽  
Traffic Demand ◽  
Probe Vehicle ◽  
Vehicle Data ◽  
Transportation Agencies

Transportation agencies monitor freeway performance using various measures such as VMT (vehicle-miles traveled), VHD (vehicle-hours of delay), and VHT (vehicle-hours traveled). They typically rely on data from point detectors to estimate these freeway performance measures. Point detectors such as inductive loops cannot capture the travel time for a corridor, leading to inaccurate performance measure estimation. This research develops a hybrid method, which estimates freeway performance measures using a mix of probe vehicle data provided by third-party vendors and data from traditional point detectors. Using a simulated model of a freeway (Interstate-210), the overall framework using multiple data sources is evaluated and compared with the traditional point detector-based estimation method. In the traditional method, point speeds are estimated with the flow and occupancy values using g-factors. Data from 5% of the total vehicles are used to generate the third-party provided travel time data. The analysis is conducted for multiple scenarios, including peak and off-peak periods. Results suggest that fusing probe vehicle data from third-party vendors with data from point detectors can help transportation agencies estimate performance measures better than the traditional method, in scenarios that have noticeable traffic demand on freeways.

scholarly journals RPA-based point-of-need detection assay for the invasive Mediterranean fanworm Sabella spallanzanii

2021 ◽  
Vol 4 ◽  
Author(s):  
Martin Zirngibl ◽  
Ulla von Ammon ◽  
Xavier Pochon ◽  
Anastasija Zaiko
Keyword(s):  
New Zealand ◽  
Molecular Detection ◽  
Environmental Dna ◽  
Great Effort ◽  
Detection Techniques ◽  
Context Sensitive ◽  
Detection Assay ◽  
Amplification Assay ◽  
Flow Detection

The Mediterranean fanworm Sabella spallanzanii was first sighted in New Zealand in 2009 (most likely introduced via hull fouling) and has spread across multiple coastal locations. The species presents significant risks to ecological, economic, and societal values, and therefore is subject to targeted surveillance in 11 major ports and marinas, that were identified as high-risk marine biosecurity sites. Great effort and financial resources are put into bi-annual diving surveys that include removal of individuals to contain population growth and spread. In that context, sensitive molecular detection techniques gain great interest and are being increasingly tested for the fanworm detection in New Zealand and Australia. However, conventional molecular detection via PCR assays from environmental DNA (eDNA) samples requires specific laboratory resources and scientific expertise, which restricts the applicability of this approach by biosecurity practitioners or citizen scientists. In order to provide end-users with a fast, easy, and highly specific way to detect S. spallanzanii at the site of interest, a recombinase polymerase amplification assay (RPA) was designed for read-out with lateral flow detection. RPA generates amplification within 20 minutes at 39°C, which makes it possible to run assays hand-held. Because of this, RPA presents an excellent tool for the point-of-need application in targeted biosecurity surveillance. Here we present the results of the successful in silico and in vitro validation of the newly designed RPA assay for S. spallanzanii.

Performance Measures to Characterize Corridor Travel Time Delay Based on Probe Vehicle Data

2015 ◽  
Vol 2526 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Thomas M. Brennan ◽  
Stephen M. Remias ◽  
Lucas Manili
Keyword(s):  
Travel Time ◽  
Performance Measures ◽  
The United States ◽  
Flow Speed ◽  
Performance Measure ◽  
Vehicle Speed ◽  
Travel Time Reliability ◽  
Highway Capacity Manual ◽  
Probe Vehicle ◽  
Vehicle Data

Anonymous probe vehicle data are being collected on roadways throughout the United States. These data are incorporated into local and statewide mobility reports to measure the performance of highways and arterial systems. Predefined spatially located segments, known as traffic message channels (TMCs), are spatially and temporally joined with probe vehicle speed data. Through the analysis of these data, transportation agencies have been developing agencywide travel time performance measures. One widely accepted performance measure is travel time reliability, which is calculated along a series of TMCs. When reliable travel times are not achieved because of incidents and recurring congestion, it is desirable to understand the time and the location of these occurrences so that the corridor can be proactively managed. This research emphasizes a visually intuitive methodology that aggregates a series of TMC segments based on a cursory review of congestion hotspots within a corridor. Instead of a fixed congestion speed threshold, each TMC is assigned a congestion threshold based on the 70th percentile of the 15-min average speeds between 02:00 and 06:00. An analysis of approximately 90 million speed records collected in 2013 along I-80 in northern New Jersey was performed for this project. Travel time inflation, the time exceeding the expected travel time at 70% of measured free-flow speed, was used to evaluate each of the 166 directional TMC segments along 70 mi of I-80. This performance measure accounts for speed variability caused by roadway geometry and other Highway Capacity Manual speed-reducing friction factors associated with each TMC.

Work-Performance Measure

2011 ◽  
Author(s):  
Yih-teen Lee ◽  
Alfred Stettler ◽  
John Antonakis
Keyword(s):  
Work Performance ◽  
Performance Measure

Hotel Performance Measure

2019 ◽  
Author(s):  
Erick Pusck Wilke ◽  
Benny Kramer Costa ◽  
Otávio Bandeira De Lamônica Freire ◽  
Manuel Portugal Ferreira
Keyword(s):  
Performance Measure ◽  
Hotel Performance

ION DETECTION TECHNIQUES APPLIED TO RYDBERG ATOMS IN EXTERNAL FIELDS

1983 ◽  
Vol 44 (C7) ◽  
pp. C7-193-C7-208 ◽  
Author(s):  
F. Penent ◽  
C. Chardonnet ◽  
D. Delande ◽  
F. Biraben ◽  
J. C. Gay
Keyword(s):  
Rydberg Atoms ◽  
External Fields ◽  
Ion Detection ◽  
Detection Techniques

Comparative quantification of phosphatidylcholine in sea urchins eggs by instrumental TLC with various detection techniques

Planta Medica ◽  
2010 ◽  
Vol 76 (12) ◽  
Author(s):  
S Ivanova ◽  
I Urakova ◽  
O Pozharitskaya ◽  
A Shikov ◽  
V Makarov
Keyword(s):  
Sea Urchins ◽  
Detection Techniques

Advances in profiling of natural products by triple detection techniques combined with super critical CO2 mobile phases and Sub-2 µm stationary phases

Planta Medica ◽  
2015 ◽  
Vol 81 (16) ◽  
Author(s):  
D Rodriguez Cabaleiro ◽  
P Hong ◽  
G Isaac ◽  
J Yuk ◽  
K Yu ◽  
...  
Keyword(s):  
Natural Products ◽  
Stationary Phases ◽  
Detection Techniques ◽  
Mobile Phases

Conflict Detection Techniques for Preserving Privacy in Social Media

2018 ◽  
pp. 78-85
Author(s):  
Fulpagare Priya K. ◽  
Nitin N. Patil
Keyword(s):  
Social Media ◽  
Privacy Management ◽  
Crucial Importance ◽  
Network Integration ◽  
Critical Problem ◽  
Detection Techniques ◽  
Privacy Preferences ◽  
Content Sharing ◽  
Privacy Settings ◽  
Relationship Network

Social Network is an emerging e-service for Content Sharing Sites (CSS). It is an emerging service which provides reliable communication. Some users over CSS affect user’s privacy on their personal contents, where some users keep on sending annoying comments and messages by taking advantage of the user’s inherent trust in their relationship network. Integration of multiple user’s privacy preferences is very difficult task, because privacy preferences may create conflict. The techniques to resolve conflicts are essentially required. Moreover, these methods need to consider how users would actually reach an agreement about a solution to the conflict in order to offer solutions acceptable by all of the concerned users. The first mechanism to resolve conflicts for multi-party privacy management in social media that is able to adapt to different situations by displaying the enterprises that users make to reach a result to the conflicts. Billions of items that are uploaded to social media are co-owned by multiple users. Only the user that uploads the item is allowed to set its privacy settings (i.e. who can access the item). This is a critical problem as users’ privacy preferences for co-owned items can conflict. Multi-party privacy management is therefore of crucial importance for users to appropriately reserve their privacy in social media.

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