Conceptual Analysis of an AD Function Guidance System Considering AV Performance, Road Capacity and Environmental Factors
DOI: https://doi.org/10.62517/jike.202504311
Author(s)
Yang Bolin
Affiliation(s)
Beihang University, Beijing, China
Abstract
Autonomous driving (AD) functions are increasingly used on vehicle, but currently they might not perform better than human drivers. The adaptive cruise control (ACC) was selected as an example. Car following headway data of human drivers and ACC function were collected and analysed. The result shows that ACC function of most types of vehicles has larger headway than human drivers under the same travel speed. By modelling with random headway, decrease of road capacity with increasing share of vehicles using ACC were observed at some levels of travel speed. This article then promotes the concept of an AD function guidance system as a compensation to internet of vehicles yet under development. The system, installed on key road sections, gives drivers suggestions on the use of AD functions e.g. turning off ACC, to improve maximum road capacity and avoid congestions. Environmental, psychological, infrastructure and other key factors helping calibration of the AD function guidance system are proposed and analysed.
Keywords
Adaptive Cruise Control; Highway Information System; Road Capacity; Car Following
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