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Collisions in Multiple Dimensions: Problem Solving01:06

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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
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Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
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Kinematic Equations: Problem Solving01:15

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Distributed Loads: Problem Solving01:21

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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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Multicompartment Models: Overview01:14

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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Two-Dimensional Force System: Problem Solving01:29

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Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
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Related Experiment Video

Updated: Sep 20, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

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The bi-objective multimodal car-sharing problem.

Miriam Enzi1,2, Sophie N Parragh1, Jakob Puchinger3,4

  • 1Institute of Production and Logistics Management, Johannes Kepler University Linz, Linz, Austria.

OR Spectrum : Quantitative Approaches in Management
|June 8, 2022
PubMed
Summary
This summary is machine-generated.

This study optimizes multimodal car-sharing by balancing cost and user satisfaction. A novel branch-and-cut algorithm enhances efficiency for complex routing and time-dependent preferences in shared mobility.

Keywords:
Bi-objectiveBranch and cutCar-sharingMobilityTransportation

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Area of Science:

  • Operations Research
  • Transportation Science
  • Computer Science

Background:

  • Shared mobility systems are increasingly important for urban transportation.
  • Balancing operational costs with user satisfaction is a key challenge in car-sharing.
  • User preferences and dynamic conditions significantly impact system efficiency.

Purpose of the Study:

  • To address the bi-objective multimodal car-sharing problem (BiO-MMCP) from a user-centric perspective.
  • To minimize costs and maximize user satisfaction by optimizing transport mode assignment and vehicle/user routing.
  • To investigate variants including time-dependent travel times, user preferences, and complex routing decisions.

Main Methods:

  • Development of a branch-and-cut algorithm for the most complex variant (Variant 4).
  • Integration of the algorithm within two bi-objective frameworks: the epsilon-constraint method and a weighting binary search method.
  • Computational experiments to compare the algorithm's performance against Mixed Integer Programming (MIP) formulations.

Main Results:

  • The developed branch-and-cut algorithm demonstrates superior performance compared to traditional MIP formulations.
  • Analysis of the Pareto frontier reveals insights into the trade-offs between cost minimization and user satisfaction.
  • The study successfully models and solves complex scenarios with time-dependent factors and routing flexibility.

Conclusions:

  • The proposed branch-and-cut approach offers an effective solution for the BiO-MMCP.
  • Incorporating user preferences and dynamic conditions is crucial for advanced shared mobility systems.
  • The findings provide valuable insights for designing more efficient and user-friendly car-sharing platforms.