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An Eco-Driving Strategy at Multiple Fixed-Time Signalized Intersections Considering Traffic Flow Effects.

Huinian Wang1, Junbin Guo2, Jingyao Wang3

  • 1Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China.

Sensors (Basel, Switzerland)
|October 16, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an eco-driving strategy for connected and automated vehicles (CAVs) to reduce fuel consumption and emissions. The strategy improves traffic efficiency, especially with higher CAV penetration rates.

Keywords:
connected vehicleeco-drivinggenetic algorithmmultiple signalized intersectionstraffic flow

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Area of Science:

  • Traffic Engineering
  • Automotive Engineering
  • Environmental Science

Background:

  • Traffic congestion at signalized intersections leads to increased fuel consumption and emissions.
  • Mixed traffic environments with conventional and connected and automated vehicles (CAVs) pose challenges for traffic efficiency.

Purpose of the Study:

  • To develop an eco-driving strategy for CAVs to enhance traffic efficiency and reduce environmental impact in signalized intersection areas.
  • To optimize vehicle speed trajectories for reduced fuel consumption, emissions, and improved traffic flow.

Main Methods:

  • Analysis of traffic wave theory to model intersection queue dynamics.
  • Development of a traffic flow situation estimation model for queue and fleet length.
  • Proposal of a feasible speed set calculation method with a trigonometric profile for smooth speed trajectories.
  • Optimization of speed trajectories considering fuel consumption, emissions, and traffic efficiency costs.

Main Results:

  • The eco-driving strategy significantly improves traffic performance and fuel economy as CAV penetration increases.
  • With 100% CAV penetration, average speed increased by 9.5%, stops reduced by 78.2%, and stopped delay decreased by 82.0%.
  • Fuel consumption, NOx, and HC emissions were reduced by 20.4%, 39.4%, and 46.6%, respectively.

Conclusions:

  • The proposed eco-driving strategy is effective in improving traffic efficiency and reducing environmental impact in mixed traffic environments.
  • The strategy demonstrates substantial benefits, particularly in scenarios with high connected and automated vehicle penetration.