Analysis of driving behavior in unprotected left turns for autonomous vehicles using ensemble deep clustering
The advent of autonomous driving technology offers transformative potential in mitigating
traffic congestion and enhancing road safety. A particularly challenging aspect of traffic …
traffic congestion and enhancing road safety. A particularly challenging aspect of traffic …
Reasoning Graph: A Situation-aware framework for cooperating unprotected turns under mixed connected and autonomous traffic environments
Cooperating unprotected turns in mixed connected and autonomous traffic environments is
beneficial to improving the systemic utility of intersections. However, interactions among …
beneficial to improving the systemic utility of intersections. However, interactions among …
A matched case-control analysis of autonomous vs human-driven vehicle accidents
M Abdel-Aty, S Ding - Nature Communications, 2024 - nature.com
Despite the recent advancements that Autonomous Vehicles have shown in their potential to
improve safety and operation, considering differences between Autonomous Vehicles and …
improve safety and operation, considering differences between Autonomous Vehicles and …
Teaching Autonomous Vehicles to Express Interaction Intent during Unprotected Left Turns: A Human-Driving-Prior-Based Trajectory Planning Approach
With the integration of Autonomous Vehicles (AVs) into our transportation systems, their
harmonious coexistence with Human-driven Vehicles (HVs) in mixed traffic settings …
harmonious coexistence with Human-driven Vehicles (HVs) in mixed traffic settings …
Autonomous vehicle ethics in networked transport systems: Spatial cognition algorithms, mobility data processing tools, and deep learning-based sensing …
N Morley - Contemp. Readings L. & Soc. Just., 2022 - HeinOnline
The present study systematically reviews the existing research on geospatial mapping and
simulation modeling tools, environment and vehicle sensors, and crash avoidance …
simulation modeling tools, environment and vehicle sensors, and crash avoidance …
Dynamic trajectory planning and optimization for automated driving on ice and snow covered road
J Pan, J Wang, S Xing - IEEE Access, 2023 - ieeexplore.ieee.org
The rapid development of 5G and Artificial Intelligence (AI) has promoted the widespread
application of autonomous driving in various scenarios. Currently, autonomous vehicles …
application of autonomous driving in various scenarios. Currently, autonomous vehicles …
Modeling Vehicle Paths at Intersections: A Unified Approach Based on Entrance and Exit Lanes
Since vehicles are not restricted by lane lines when driving inside intersections, they travel
freely and their paths have many possibilities, which are related to the traffic order of other …
freely and their paths have many possibilities, which are related to the traffic order of other …
社会性驾驶交互关键效用析取与应用
赵晓聪， 房世玉， 李子睿， 孙剑 - 汽车工程, 2024 - qichegongcheng.com
共享道路空间中的人类驾驶交互行为具有兼顾伴行车损益的社会性特征. 由于对驾驶交互社会性
的理解缺失, 自动驾驶车辆往往难以估计自身行为对伴行车辆的潜在影响, 因而陷入“被迫保守” …
的理解缺失, 自动驾驶车辆往往难以估计自身行为对伴行车辆的潜在影响, 因而陷入“被迫保守” …
Networked transport systems: spatial cognition algorithms, mobility data processing tools, and deep learning-based sensing technologies
N Morley - Contemporary Readings in Law and Social Justice, 2022 - ceeol.com
The present study systematically reviews the existing research on geospatial mapping and
simulation modeling tools, environment and vehicle sensors, and crash avoidance …
simulation modeling tools, environment and vehicle sensors, and crash avoidance …
A Two-Dimensional Fine-Grained Grid-Based Simulation Model for Left-Turning Vehicles at Unsignalized Intersections
X Xiao, B Peng, Y Chen, Y Chen, K Li - Available at SSRN 4745147 - papers.ssrn.com
Turning maneuvers pose a considerable challenge in unsignalized intersections,
introducing notable complexities into driving scenarios. In order to conduct a comprehensive …
introducing notable complexities into driving scenarios. In order to conduct a comprehensive …