scholarly journals Stability and Environmental Analysis of Mixed Traffic Flow – Using the Markov Probabilistic Theory

2020 ◽  
Vol 32 (6) ◽  
pp. 849-861
Author(s):  
Linheng Li ◽  
Jing Gan ◽  
Xu Qu ◽  
Jian Zhang ◽  
Bin Ran
Keyword(s):  
Spatial Distribution ◽  
Stability Analysis ◽  
Fuel Consumption ◽  
Traffic Flow ◽  
Open Boundary ◽  
Market Penetration ◽  
Mixed Traffic ◽  
Open Boundary Conditions ◽  
Mixed Traffic Flow ◽  
Stability Performance

The rapid growth of CAV (Connected and Automated Vehicle) market penetration highlights the need to gain insight into the overall stability of mixed traffic flows in order to better deploy CAVs. Several studies have examined the modelling process and stability analysis of traffic flow in a mixed traffic environment without considering its inner spatial distribution. In this paper, an innovative Markov chain-based model is established for integrating the spatial distribution of mixed traffic flow in the model process of car-following behaviour. Then the linear stability analysis of the mixed traffic flow is conducted for different CAV market penetration rates, different CAV platoon strength and different cooperation efficiency between two continuous vehicles. Moreover, several simulations under open boundary conditions in multiple scenarios are performed to explicate how CAV market penetration rate, platoon strength and cooperation efficiency jointly influence the stability performance of the mixed traffic flow. The results reveal that the performance of this mixed traffic flow stability could be strengthened in these three factors. In addition to stability, an investigation of the fuel consumption and emission reduction under different market penetration rates and the platoon strength of CAVs are explored, suggesting that substantial potential fuel consumption and emission could be reduced under certain scenarios.

scholarly journals Fuel Consumption and Traffic Emissions Evaluation of Mixed Traffic Flow with Connected Automated Vehicles at Multiple Traffic Scenarios

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Bin Zhao ◽  
Yalan Lin ◽  
Huijun Hao ◽  
Zhihong Yao
Keyword(s):  
Fuel Consumption ◽  
Traffic Flow ◽  
Penetration Rate ◽  
Traffic Emissions ◽  
Signalized Intersection ◽  
Mixed Traffic ◽  
Reduce Fuel Consumption ◽  
Car Following ◽  
Mixed Traffic Flow ◽  
Connected Automated Vehicles

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.

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