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Related Experiment Video

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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Study of multi-objective path planning method for vehicles.

Yan Chun Zheng1, Juan Wang2, Dong Guo3

  • 1School of Management, Shandong University of Technology, Zibo, China.

Environmental Science and Pollution Research International
|December 16, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a multi-objective path planning method considering emissions, fuel consumption, and time. The approach optimizes routes based on driver preferences and dynamic road conditions, improving efficiency and environmental protection.

Keywords:
City planningEnvironmentMulti-objective path planningTravel demandUrban trafficVehicle emissions

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Area of Science:

  • Transportation Engineering
  • Environmental Science
  • Operations Research

Background:

  • Single-objective path planning often overlooks critical factors like emissions and fuel consumption.
  • Dynamic traffic conditions and driver preferences necessitate a more comprehensive planning approach.

Purpose of the Study:

  • To develop a multi-objective path planning method integrating emissions, fuel consumption, and time.
  • To incorporate driver preferences using analytic hierarchy process (AHP) and gray relational analysis.
  • To optimize path planning considering dynamic, time-dependent road conditions.

Main Methods:

  • Established a fuel consumption and emission estimation model for dynamic transportation networks.
  • Developed a multi-objective path planning model.
  • Integrated AHP and gray relational analysis to prioritize objectives based on driver preferences.
  • Combined models with an improved Dijkstra algorithm for path planning under dynamic conditions.

Main Results:

  • The multi-objective path planning method effectively balances travel demands including emissions, fuel consumption, and time.
  • Real-world vehicle experiments validated the method's performance.
  • Significant improvements in time and fuel savings were observed compared to single-objective methods.
  • The approach successfully incorporates driver preferences into the planning process.

Conclusions:

  • The proposed multi-objective path planning method offers a superior alternative to single-objective approaches.
  • It enhances travel efficiency, reduces fuel consumption and emissions, and aligns with driver preferences.
  • This method contributes to more sustainable and personalized transportation solutions.