Quantitative Studies on Traffic Efficiency and Safety Variation Trend of Mixed Traffic Flow with Different Penetration Rates of Automated Vehicles

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Dihua Sun ◽  
Ting Jiang ◽  
Hang Zhao ◽  
Min Zhao ◽  
Wenkai Li
Keyword(s):  
Traffic Flow ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Variation Trend ◽  
Mixed Traffic Flow ◽  
Traffic Efficiency ◽  
Quantitative Studies

Cellular Automata–Based Modeling and Simulation of a Mixed Traffic Flow of Manual and Automated Vehicles

2017 ◽  
Vol 2622 (1) ◽  
pp. 105-116 ◽  
Author(s):  
Da Yang ◽  
Xiaoping Qiu ◽  
Lina Ma ◽  
Danhong Wu ◽  
Liling Zhu ◽  
...  
Keyword(s):  
Reaction Time ◽  
Traffic Flow ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Lane Change ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Obvious Effect ◽  
Mixed Traffic Flow ◽  
Automated Vehicle

In recent years, automated vehicles have been developing rapidly, and some automated vehicles have begun to drive on highways. The market share of automated vehicles is expected to increase and will greatly affect traffic flow characteristics. This paper focuses on the mixed traffic flow of manual and automated vehicles. The study improves the existing cellular automaton model to capture the differences between manual vehicles and automated vehicles. Computer simulations are employed to analyze the characteristic variations in the mixed traffic flow under different automated vehicle proportions, lane change probabilities, and reaction times. Several new conclusions are drawn in the paper. First, with the increment of the proportion of automated vehicles, freeway capacity increases; the capacity increment is more significant for single-lane traffic than for two-lane traffic. Second, for single-lane traffic flow, reducing the reaction time of the automated vehicle can significantly improve road traffic capacity—as much as doubling it—and reaction time reduction has no obvious effect on the capacity of the two-lane traffic. Third, with the proportion increment of automated vehicles, lane change frequency reduces significantly. Fourth, when the density is 15 < ρ < 55 vehicles/km, the addition of 20% automated vehicles to a traffic flow that consisted of only manual vehicles can decrease congestion by up to 16.7%.

scholarly journals Potential Pollutant Emission Effects of Connected and Automated Vehicles in a Mixed Traffic Flow Context for Different Road Types

2021 ◽  
Vol 2 ◽  
pp. 364-383
Author(s):  
Jorge M. Bandeira ◽  
Eloisa Macedo ◽  
Paulo Fernandes ◽  
Monica Rodrigues ◽  
Mario Andrade ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Pollutant Emission ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Mixed Traffic Flow

Analyzing the impact of automated vehicles on uncertainty and stability of the mixed traffic flow

2020 ◽  
Vol 112 ◽  
pp. 203-219 ◽  
Author(s):  
Fangfang Zheng ◽  
Can Liu ◽  
Xiaobo Liu ◽  
Saif Eddin Jabari ◽  
Liang Lu
Keyword(s):  
Traffic Flow ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Mixed Traffic Flow ◽  
The Impact
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