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Traffic Simulation Analysis on Running Speed in a Connected Vehicles Environment.

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  • 1School of Transportation, Southeast University, Nanjing 211189, China.

International Journal of Environmental Research and Public Health
|November 14, 2019
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Connected vehicles (CVs) improve traffic flow by increasing running speed by 4 km/h and reducing travel and delay times. The optimal market penetration rate for CVs to enhance traffic efficiency is 60%.

Keywords:
VISSIMconnected vehiclesoptimization speed modelrunning speed

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Area of Science:

  • Transportation Engineering
  • Traffic Flow Theory
  • Intelligent Transportation Systems

Background:

  • Connected vehicles (CVs) enable instant information exchange between vehicles and infrastructure, promising significant traffic flow improvements.
  • Understanding the impact of CVs on traffic dynamics is crucial for optimizing road network performance.

Purpose of the Study:

  • To analyze the effect of connected vehicles on running speed, travel time, and delay time.
  • To evaluate the influence of varying CV market penetration rates on traffic characteristics.

Main Methods:

  • Utilized VISSIM traffic simulation software to compare traffic conditions in normal and connected states.
  • Developed an optimization speed model in MATLAB to simulate CV decision-making processes.
  • Incorporated user-defined lane change and lateral behavior rules for enhanced simulation realism.

Main Results:

  • On a two-lane arterial road, CVs increased running speed by 4 km/h.
  • Total travel time decreased by 5.34% and delay time by 16.76% in the connected state compared to the normal state.
  • An optimal CV market penetration rate of 60% was identified for maximizing running speed and minimizing delay time.

Conclusions:

  • Connected vehicles significantly enhance traffic flow efficiency by improving speed and reducing travel and delay times.
  • The simulation results provide practical insights into the benefits of CVs, with a 60% penetration rate yielding optimal results.
  • This study's methodology, considering user-defined behaviors and varying CV rates, offers a reliable approach for assessing CV impacts on road traffic.