Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

The Power Flow Problem and Solution

The Power Flow Problem and Solution

Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the power flow program computes...

Pipe Flowrate Measurement: Problem Solving

Pipe Flowrate Measurement: Problem Solving

A spray tank system is engineered to uniformly distribute a pest-control liquid across plants by using a pressurized mechanism. The tank, pressurized to 150 kPa, holds the pesticide at a height of 0.80 meters. Liquid flows from the tank through a 1.9 meter pipe with a diameter of 0.015 meters, angled at 0.698 radians, ultimately reaching a 0.007 meter nozzle that sprays the pesticide. Accurate calculation of the system's flow rate is crucial to ensure uniform application, and this is achieved...

Pipe Flowrate Measurement

Pipe Flowrate Measurement

In pipe flow measurement, orifice, nozzle, and Venturi meters are commonly used to determine fluid flowrates by constricting the flow area, which increases fluid velocity and reduces pressure. This pressure difference, governed by Bernoulli's principle and adjusted for real-world conditions, is essential for calculating flowrate. Each meter type is suited to specific applications based on accuracy, efficiency, and compatibility with various flow conditions.
The orifice meter is a simple,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Ultraviolet radiation as a double-edged regulator of melanocyte function in vitiligo therapy and melanoma carcinogenesis.

Frontiers in medicine·2026

Same author

Erratum: IGF2BP2-modified UBE2D1 Interacts with Smad2/3 to Promote the Progression of Breast Cancer.

American journal of cancer research·2026

Same author

Cryptotanshinone and Its Metabolite Ameliorate Rewarding Effect of Nitrous Oxide via Nucleus Accumbens D1 Receptor and TrkB Pathway.

Current neuropharmacology·2026

Same author

Mechanisms underlying the changes in interaction characteristics of beef sarcoplasmic, myofibrillar protein and their correlations induced by ovalbumin and ethanol addition.

Food chemistry: X·2026

Same author

Programmable In Vivo Synthesis of Quantum Dots.

Angewandte Chemie (International ed. in English)·2026

Same author

Cargo molecules in plasma neural-derived extracellular vesicles reveal pathological signatures of primary open-angle glaucoma.

Journal of translational medicine·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 19, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

Estimating Bus Cross-Sectional Flow Based on Machine Learning Algorithm Combined with Wi-Fi Probe Technology.

Ting-Zhao Chen¹, Yan-Yan Chen¹, Jian-Hui Lai¹

¹Department of Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel, Switzerland)

|January 30, 2021

Summary

This summary is machine-generated.

This study introduces a novel method for estimating bus passenger flow using Wi-Fi signals and machine learning. This approach offers a more efficient way to track passenger numbers, especially in small to medium-sized cities.

Keywords:

Wi-Fi probe bus passenger flow estimation feature extraction machine learning strain function

More Related Videos

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

Measurements of Local Instantaneous Convective Heat Transfer in a Pipe - Single and Two-phase Flow

Measurements of Local Instantaneous Convective Heat Transfer in a Pipe - Single and Two-phase Flow

Published on: April 30, 2018

Related Experiment Videos

Last Updated: Nov 19, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition

Published on: June 27, 2025

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

Measurements of Local Instantaneous Convective Heat Transfer in a Pipe - Single and Two-phase Flow

Measurements of Local Instantaneous Convective Heat Transfer in a Pipe - Single and Two-phase Flow

Published on: April 30, 2018

Area of Science:

Transportation Engineering
Data Science
Signal Processing

Background:

Urban expansion necessitates efficient public transport management.
Traditional passenger flow estimation methods (manual, video) are inefficient for single-swipe buses.
Accurate passenger flow data is crucial for optimizing bus operations.

Purpose of the Study:

To develop and validate a machine learning-based method for estimating bus passenger flow.
To improve the efficiency of passenger flow identification in single-swipe bus systems.
To reduce passenger waiting times during peak hours.

Main Methods:

Installed six Wi-Fi probes on buses to collect wireless signals from mobile terminals.
Utilized five signal features and three machine learning algorithms (Random Forest, K-NN, SVM).
Developed a strain function to account for environmental influences on signal strength and bus congestion.

Main Results:

Achieved an average error of 0.1338 compared to manual surveys.
Demonstrated the effectiveness of machine learning algorithms in learning signal feature data.
Validated the proposed strain function for environmental impact adjustment.

Conclusions:

The proposed Wi-Fi signal and machine learning method is suitable for passenger flow identification in small and medium-sized cities.
This method enhances bus operational efficiency.
It has the potential to alleviate passenger waiting pressure during rush hours.