Dynamic driving risk potential field model under the connected and automated vehicles environment and its application in car-following modeling
This paper proposes a new dynamic driving risk potential field model under the connected
and automated vehicles environment that fully considers the dynamic effect of the vehicle's …
and automated vehicles environment that fully considers the dynamic effect of the vehicle's …
A review on threat assessment, path planning and path tracking strategies for collision avoidance systems of autonomous vehicles
The growth of automation sector has brought numerous autonomous technology
developments in many sectors, especially automotive. The autonomous features are proven …
developments in many sectors, especially automotive. The autonomous features are proven …
Public acceptance of driver state monitoring for automated vehicles: Applying the UTAUT framework
Driver state monitoring (DSM) systems aim to measure driver/occupant state, considering
factors such as fatigue, workload, attentiveness, and wellbeing. They are influential for some …
factors such as fatigue, workload, attentiveness, and wellbeing. They are influential for some …
Car-following model based on deep learning and Markov theory
A car-following (CF) model can reproduce various micro traffic phenomena and plays a
crucial role in traffic theory. In this study, we combine Markov theory and a gated recurrent …
crucial role in traffic theory. In this study, we combine Markov theory and a gated recurrent …
Car-following characteristics and model of connected autonomous vehicles based on safe potential field
Y Jia, D Qu, H Song, T Wang, Z Zhao - Physica A: Statistical Mechanics and …, 2022 - Elsevier
Aiming at the characteristics of connected and autonomous vehicle (CAV) which makes
autonomous decision by perceiving the surrounding environment, a safe potential field …
autonomous decision by perceiving the surrounding environment, a safe potential field …
[PDF][PDF] 具有确保安全距离的A* 路径优化方法
段书用， 王启帆， 韩旭， 刘桂荣 - 机械工程学报, 2020 - qikan.cmes.org
机器人或机械臂在工作空间中, 路径的合理规划是提高搜索效率, 减小搜索距离,
确保作业安全的关键. 现有的路径规划算法搜索过程复杂, 在减小搜索距离的同时牺牲了对安全 …
确保作业安全的关键. 现有的路径规划算法搜索过程复杂, 在减小搜索距离的同时牺牲了对安全 …
Multiple air route crossing waypoints optimization via artificial potential field method
Air route crossing waypoint optimization is one of the effective ways to improve airspace
utilization, capacity and resilience in dealing with air traffic congestion and delay. However …
utilization, capacity and resilience in dealing with air traffic congestion and delay. However …
Using artificial potential field theory for a cooperative control model in a connected and automated vehicles environment
Artificial potential field (APF) theory has been extensively applied in traffic path planning as
an efficient method to avoid collision. However, studies in collision avoidance based on APF …
an efficient method to avoid collision. However, studies in collision avoidance based on APF …
[PDF][PDF] Improved A-star algorithm for safety insured optimal path with smoothed corner turns
段书用， 王启帆， 韩旭， 刘桂荣 - Journal of Mechanical Engineering, 2020 - qikan.cmes.org
Optimal path planning for automated operators, such as robots or mechanical arms, in the
workspace is of importance to improve the efficiency in terms of minimized operation …
workspace is of importance to improve the efficiency in terms of minimized operation …
A study of the minimum safe distance between human driven and driverless cars using safe distance model
TH Yimer, C Wen, X Yu, C Jiang - arXiv preprint arXiv:2006.07022, 2020 - arxiv.org
When driving, it is vital to maintain the right following distance between the vehicles to avoid
rear-end collisions. The minimum safe distance depends on many factors, however, in this …
rear-end collisions. The minimum safe distance depends on many factors, however, in this …