Mobility Impacts of Autonomous Vehicle Systems

Sagir, Fasil; Ukkusuri, Satish V.

doi:10.1109/itsc.2018.8569933

Cited by 7 publications

(1 citation statement)

References 14 publications

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“…Fig. 1 shows the abstract impact of changes in automatic driving level and penetration rate on driving subjects, which shows that with the improvement of vehicle automatic driving levels and the increase of penetration rates, on the one hand, human intervention ability gradually decrease, on the other hand, due to the increasing dependence of vehicles on advanced driver assistance systems, there are more and more requirements on sensor combination, control effect of automatic driving system, vehicle communication and other functions [13], and the overall automation level of the road and system control sensitivity has been improved.…”

Section: L5 Fully Automationmentioning

confidence: 99%

Mechanism of Road Capacity under Different Penetration Scenarios of Autonomous Vehicles

Zhang¹,

Duan²,

Zhang³

et al. 2022

Int. j. simul. model.

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This paper takes L0 (ordinary vehicles), L2 and L4 (autonomous vehicles) as the research objects, adopts different car-following rules and improves them respectively based on driver's personality factors and variable time headway (VTH) strategy, introduces a benefit parameters to distinguish lane changing ability of them, and evaluates road capacity under mixed traffic flow with a basic diagram model and average travel time. Use SUMO to build a simulation platform and conduct a real-time systematic research based on Python. The results prove that: (1) After the penetration rate of autonomous exceeds 60 %, road capacity can be effectively improved, and the maximum increase of 32.52 % occurs in 100 % penetration scenario. (2) When traffic density is less than 27 vehicles/km, the average speed continues to be the maximum in 100 % scenario, and when it is greater than 27 vehicles/km, the critical penetration scenario is 80 %. (3) The average travel time begins to decrease after the penetration rate exceeds 20 %, and can be reduced by 23.38 % in 100 % scenario. It shows that traffic efficiency is closely associated with penetration rates of autonomous vehicles.

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Section: L5 Fully Automationmentioning

confidence: 99%