Feature Selection with Redundancy-complementariness Dispersion

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.

feature selection General Classification

Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning

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.

reinforcement-learning Reinforcement Learning (RL)

Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach

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.

reinforcement-learning Reinforcement Learning (RL)

Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach

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.

Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate

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.

Model Predictive Control

Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks

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.

Graph Embedding Intent Detection +1

Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer

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.

Autonomous Driving

Optimizing Bus Travel: A Novel Approach to Feature Mining with P-KMEANS and P-LDA Algorithms

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.

Truck Parking Usage Prediction with Decomposed Graph Neural Networks

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.