no code implementations • 23 Jan 2024 • Rei Tamaru, Yang Cheng, Steven Parker, Ernie Perry, Bin Ran, Soyoung Ahn
The proposed model allows truck parking sites' percipience of the topological structures and provides higher performance.
no code implementations • 4 Dec 2023 • Hongjie Liu, Haotian Shi, Sicheng Fu, Tengfei Yuan, Xinhuan Zhang, Hongzhe Xu, Bin Ran
This study presents a bus travel feature extraction method rooted in Point of Interest (POI) data, employing enhanced P-KMENAS and P-LDA algorithms to overcome these limitations.
no code implementations • 21 Oct 2023 • Junwei You, Ying Chen, Zhuoyu Jiang, Zhangchi Liu, Zilin Huang, Yifeng Ding, Bin Ran
Effective classification of autonomous vehicle (AV) driving behavior emerges as a critical area for diagnosing AV operation faults, enhancing autonomous driving algorithms, and reducing accident rates.
no code implementations • 5 Sep 2023 • Keshu Wu, Yang Zhou, Haotian Shi, Xiaopeng Li, Bin Ran
Within this framework, vehicles' motions are conceptualized as nodes in a time-varying graph, and the traffic interactions are represented by a dynamic adjacency matrix.
no code implementations • 28 Mar 2021 • Tianyi Chen, Meng Wang, Siyuan Gong, Yang Zhou, Bin Ran
In this study, we propose a rotation-based connected automated vehicle (CAV) distributed cooperative control strategy for an on-ramp merging scenario.
no code implementations • 1 Mar 2021 • Ran Yi, Yang Zhou, Xin Wang, Zhiyuan Liu, Xiaotian Li, Bin Ran
This paper presents an infrastructure assisted constrained connected automated vehicles (CAVs) trajectory optimization method on curved roads.
no code implementations • 3 Dec 2020 • Haotian Shi, Yang Zhou, Keshu Wu, Xin Wang, Yangxin Lin, Bin Ran
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for partially connected and automated traffic environment based on deep reinforcement learning (DRL) algorithm, which enhances the string stability of mixed traffic, car following efficiency, and energy efficiency.
no code implementations • 25 Oct 2018 • Yuankai Wu, Huachun Tan, Bin Ran
In this paper, we propose a more effective deep reinforcement learning (DRL) model for differential variable speed limits (DVSL) control, in which the dynamic and different speed limits among lanes can be imposed.
no code implementations • 1 Feb 2015 • Zhijun Chen, Chaozhong Wu, Yishi Zhang, Zhen Huang, Bin Ran, Ming Zhong, Nengchao Lyu
Feature selection has attracted significant attention in data mining and machine learning in the past decades.