A New Safety Distance Calculation for Rear-End Collision Avoidance

被引：14

作者：

Ro, Jin Woo ^{[1
]}

Roop, Partha S. ^{[1
]}

Malik, Avinash ^{[1
]}

机构：

[1] Univ Auckland, Dept Elect & Comp Engn, Auckland 1142, New Zealand

来源：

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2021年 / 22卷 / 03期

关键词：

Safety; Mathematical model; Acceleration; Collision avoidance; Vehicle dynamics; Delays; Optimization; Intelligent transportation systems; autonomous vehicles; vehicle safety; algorithm design and analysis;

D O I：

10.1109/TITS.2020.2975015

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Rear-end collision avoidance relies on mathematical models to calculate the safety distance. Vehicle deceleration is a key parameter for the accuracy of the models. Current models, however, assume a constant deceleration during braking, which is unrealistic. This assumption results in large over-approximation / under-approximation. In this paper, we rectify this limitation by proposing a new model that accounts for realistic vehicle deceleration during braking. Simulation results show that our approach guarantees safety. Moreover, traffic flow is improved by 21.6% compared to the widely adopted the Berkeley algorithm.

引用

页码：1742 / 1747

页数：6

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