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Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...

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Improving Pedestrian Safety Using Ultra-Wideband Sensors: A Study of Time-to-Collision Estimation.

Sensors (Basel, Switzerland)·2023
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Ultra-Wideband-Based Time Occupancy Analysis for Safety Studies.

Salah Fakhoury1, Karim Ismail1

  • 1Department of Civil and Environmental Engineering, Carleton University, 1125 Colonel By Dr., Ottawa, ON K1S 5B6, Canada.

Sensors (Basel, Switzerland)
|September 9, 2023
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Summary

Ultra-wideband (UWB) tags accurately estimate traffic occupancy time in real-world traffic conflict techniques (TCT). A single UWB tag achieved a mean absolute error of 0.06 s, demonstrating its potential for road safety applications.

Keywords:
pedestrian safetytraffic conflictsultra-wideband (UWB)wireless sensors

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Area of Science:

  • Traffic Engineering
  • Localization Technologies
  • Road Safety Analysis

Background:

  • Traffic conflict techniques (TCT) are crucial for analyzing road safety and preventing collisions.
  • Traditional methods for measuring traffic parameters can be labor-intensive and prone to inaccuracies.
  • Ultra-wideband (UWB) technology offers high-precision localization capabilities with potential applications in traffic monitoring.

Purpose of the Study:

  • To evaluate the accuracy of UWB tags for estimating time occupancy within a traffic conflict zone.
  • To compare the performance of UWB-based measurements against a video camera system.
  • To assess the feasibility of UWB technology for real-world TCT applications.

Main Methods:

  • Deployment of UWB tags within an 8 m × 8 m study area to measure time occupancy.
  • Comparison of UWB data with simultaneous measurements from a video camera system.
  • Calculation of mean absolute error (MAE) between UWB-derived occupancy time and ground truth.

Main Results:

  • UWB system demonstrated accurate occupancy time estimation with MAE of 0.43 s (two tags) and 0.06 s (one tag).
  • Double-sided, two-way communication enhanced the reliability of UWB measurements.
  • The study identified limitations in multi-tag tracking consistency, suggesting areas for future improvement.

Conclusions:

  • UWB technology is a viable tool for precise time occupancy estimation in TCT.
  • Further development is needed for robust multi-tag tracking to enable advanced applications like Post-Encroachment Time (PET) estimation.
  • UWB-based TCT holds significant promise for improving road safety and collision avoidance.