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The transport number is the fraction of the total current carried by an ion in an electrolyte solution. It is defined as the ratio of the current carried by a specific ion to the total current flowing through the solution. The transport number, t, is central to understanding ionic mobility, which describes how fast an ion moves under the influence of an electric field. This link connects the physical behavior of ions in solution to the chemical processes that occur during electrochemical...
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Related Experiment Video

Updated: Mar 21, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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Traffic Congestion Detection System through Connected Vehicles and Big Data.

Néstor Cárdenas-Benítez1, Raúl Aquino-Santos2, Pedro Magaña-Espinoza3

  • 1School of Telematics, University of Colima, 333 Universidad Avenue, C.P. 28040 Colima, Col., Mexico. nestor_cardenas@ucol.mx.

Sensors (Basel, Switzerland)
|May 3, 2016
PubMed
Summary

This study presents a traffic congestion detection system using vehicle communication, roadside infrastructure, and big data. The system precisely identifies congestion, reroutes vehicles, reducing CO₂ emissions and travel time.

Keywords:
IoTbig dataconnected vehiclestraffic congestion detection system

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Area of Science:

  • Intelligent Transportation Systems
  • Big Data Analytics
  • Environmental Engineering

Background:

  • Traffic congestion significantly increases travel time and CO₂ emissions.
  • Existing systems often lack real-time precision in congestion detection and rerouting.
  • Integration of vehicular communication, roadside infrastructure, and big data offers a potential solution.

Purpose of the Study:

  • To simulate and evaluate an advanced traffic congestion detection system.
  • To assess the system's effectiveness in reducing CO₂ emissions and travel time.
  • To demonstrate precise traffic rerouting capabilities during congestion events.

Main Methods:

  • Developed a traffic congestion detection system integrating inter-vehicular communications, roadside infrastructure, and big data analytics.
  • Utilized a big data cluster (Cassandra) for data processing and storage.
  • Employed OMNeT++ network simulator, SUMO traffic simulator, and Veins framework for system simulation and evaluation.

Main Results:

  • The simulation results validate the efficiency of the proposed traffic detection system.
  • The system accurately detects, reports, and reroutes traffic during congestion events.
  • Demonstrated a positive impact on reducing localized vehicular emissions and overall travel time.

Conclusions:

  • The integrated traffic congestion detection system is effective in mitigating traffic issues.
  • The system offers a precise and efficient method for real-time traffic management.
  • This approach contributes to reduced environmental impact and improved urban mobility.