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Related Concept Videos

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Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Mitigating bus bunching with real-time crowding information.

Arkadiusz Drabicki1, Rafał Kucharski2, Oded Cats3

  • 1Department of Transportation Systems, Cracow University of Technology, Kraków, Poland.

Transportation
|March 9, 2022
PubMed
Summary
This summary is machine-generated.

Real-time crowding information (RTCI) at bus stops encourages passengers to wait for less crowded buses, reducing bus bunching and improving the overall journey experience. This strategy effectively manages demand and decreases overcrowding.

Keywords:
Bus bunchingOvercrowdingPublic transportRTCIReal-time crowding informationWillingness to wait

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Area of Science:

  • Transportation Science
  • Operations Research
  • Human-Computer Interaction

Background:

  • Bus bunching is a persistent issue in public transport, caused by a feedback loop involving headways, passenger numbers, and dwell times.
  • Existing solutions often struggle to address the dynamic interplay of these factors effectively.

Purpose of the Study:

  • To investigate if real-time crowding information (RTCI) at bus stops can mitigate bus bunching.
  • To quantify the impact of RTCI on passenger waiting behavior and system performance.

Main Methods:

  • Development of a boarding choice model incorporating RTCI, based on stated-preference survey data.
  • Implementation of the model within a dynamic public transport simulation framework.
  • Case study application to a major bus corridor in Warsaw, Poland.

Main Results:

  • RTCI significantly increases the probability (30-70%) of passengers skipping overcrowded buses.
  • This passenger behavior leads to reduced headway and load variations.
  • Journey experience improves by 6%, with a 40% reduction in denied boardings and overcrowding.

Conclusions:

  • RTCI is a viable demand management strategy to counteract bus bunching.
  • Passenger willingness to wait, stimulated by RTCI, offers substantial system benefits even at low adoption rates.
  • RTCI enhances public transport efficiency and passenger satisfaction.