Abstract

To analyze the impact of different proportions of connected automated vehicles (CAVs) on fuel consumption and traffic emissions, this paper studies fuel consumption and traffic emissions of mixed traffic flow with CAVs at different traffic scenarios. Firstly, the car-following modes and proportional relationship of vehicles in the mixed traffic flow are analyzed. On this basis, different car-following models are applied to capture the corresponding car-following modes. Then, Virginia Tech microscopic (VT-micro) model is adopted to calculate the instantaneous fuel consumption and traffic emissions. Finally, based on three typical traffic scenarios, a basic segment with bottleneck zone, ramp of the freeway, and signalized intersection, a simulation platform is built based on Python and SUMO to obtain vehicle trajectory data, and the fuel consumption and traffic emissions in different scenarios are obtained. The results show that (1) In different traffic scenarios, the application of CAVs can reduce fuel consumption and traffic emissions. The higher the penetration rate, the more significant the reduction in fuel consumption and traffic emissions. (2) In the three typical traffic scenarios, the advantages of CAVs are more evident in the signalized intersection. When the penetration rate of CAVs is 100%, the fuel consumption and traffic emissions reduction ratio is as high as 32%. It is noteworthy that the application of CAVs in urban transportation will significantly reduce fuel consumption and traffic emissions.

Highlights

  • With the development of the urban economy, the number of vehicles has increased rapidly

  • When the penetration rate is low, most of the connected automated vehicles (CAVs) are in the adaptive cruise mode, and the normal operation of HDVs needs to be prioritized, so the decline in fuel consumption, carbon monoxide (CO), and NOx is small

  • According to the results of the simulation experiment, the conclusions can be obtained as follows: (1) In different traffic scenarios, CAVs play an effective role in reducing fuel consumption and emissions

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Summary

Introduction

With the development of the urban economy, the number of vehicles has increased rapidly. Yao et al [6] studied the impact of mixed traffic flow at a single intersection on fuel consumption and emissions, and proposed a joint optimization framework for traffic signals and vehicle trajectories at a single intersection, including HDVs and CAVs. e results showed that this method could reduce fuel consumption and emissions. Erefore, the impact of CAVs on the fuel consumption and traffic emissions of mixed traffic flows in different traffic scenarios remains to be revealed. Based on the VT-micro model, fuel consumption and traffic emissions in different scenarios are calculated and analyzed. (2) e impact of lane changing on fuel consumption and emission is considered, and lane-changing model LC2013 [23] is applied to different traffic scenarios.

Mixed Traffic Flow
Fuel Consumption and Traffic Emissions Model
Results and Discussions
Conclusion and Policy
Full Text
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