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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Urban public bicycle dispatching optimization method.

Fei Lin1, Yang Yang1,2, Shihua Wang1

  • 1School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China.

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|April 5, 2021
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Summary
This summary is machine-generated.

This study introduces an improved community discovery algorithm for public bicycle systems. The method optimizes area division, reducing scheduling distances by 20-50% and balancing workloads for greater efficiency.

Keywords:
Community discovery algorithmElite strategyMulti-objective optimizationPublic bicycle systemRegional scheduling workload

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Area of Science:

  • Operations Research
  • Transportation Science
  • Computer Science

Background:

  • Inefficient area division in public bicycle systems hampers operational efficiency.
  • Optimizing dispatching and scheduling is crucial for system performance.

Purpose of the Study:

  • To propose an improved community discovery algorithm for optimizing public bicycle dispatching area division.
  • To enhance the operational efficiency of public bicycle systems through better scheduling.

Main Methods:

  • Preprocessing data into lease/return relationships to calculate a similarity matrix.
  • Applying an improved community discovery algorithm to the similarity matrix for scheme generation.
  • Utilizing multi-objective optimization to adjust workload indicators and maximize benefits.

Main Results:

  • The proposed method reduced estimated scheduling distances by 20%-50% compared to clustering and standard community discovery algorithms.
  • Effectively balanced the scheduling workload across different areas.
  • Demonstrated superior performance in optimizing public bicycle dispatching.

Conclusions:

  • The developed algorithm provides a robust solution for public bicycle area division and scheduling.
  • Offers theoretical support for public bicycle dispatching departments to improve system efficiency.
  • Highlights the effectiveness of multi-objective optimization in transportation systems.