避碰
碰撞
控制理论(社会学)
计算机科学
车辆安全
模拟
钥匙(锁)
加速度
工程类
汽车工程
物理
经典力学
人工智能
计算机安全
控制(管理)
作者
Jin Woo Ro,Partha S. Roop,Avinash Malik
出处
期刊:IEEE Transactions on Intelligent Transportation Systems
[Institute of Electrical and Electronics Engineers]
日期:2021-03-01
卷期号:22 (3): 1742-1747
被引量:8
标识
DOI:10.1109/tits.2020.2975015
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.
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