A Unified Modeling Framework for Lane Change Intention Recognition and Vehicle Status Prediction

CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety-Oriented Research and Digital Twins

(2023) Ou Zheng et al.   TRANSPORTATION RESEARCH RECORD

Multi-vehicle safety functions for freeway weaving segments using lane-level traffic data

(2023) Heesub Rim et al.   ACCIDENT ANALYSIS AND PREVENTION

Traffic conflict prediction using connected vehicle data

(2023) Zubayer Islam et al.   Analytic Methods in Accident Research

Lane-change intention prediction using eye-tracking technology: A systematic review

(2022) Yunxian Pan et al.   APPLIED ERGONOMICS

Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving

(2022) Zihao Sheng et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predicting and explaining lane-changing behaviour using machine learning: A comparative study

(2022) Yasir Ali et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Enhanced index of risk assessment of lane change on expressway weaving segments: A case study of an expressway in China

(2022) Jinbao Zhang et al.   ACCIDENT ANALYSIS AND PREVENTION

Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction

(2022) Chengjin Qin et al.   Geoscience Frontiers

Multi-city traffic flow forecasting via multi-task learning

(2021) Yiling Zhang et al.   APPLIED INTELLIGENCE

About auction strategies for intersection management when human-driven and autonomous vehicles coexist

(2021) Giacomo Cabri et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Lane-Change Intention Inference Based on RNN for Autonomous Driving on Highways

(2021) Lin Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Joint learning of video images and physiological signals for lane-changing behavior prediction

(2021) Jun Gao et al.   Transportmetrica A-Transport Science

An Intelligent Lane-Changing Behavior Prediction and Decision-Making Strategy for an Autonomous Vehicle

(2021) Weida Wang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Driving Maneuvers Prediction Based Autonomous Driving Control by Deep Monte Carlo Tree Search

(2020) Jienan Chen et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Prediction of Lane-Changing Maneuvers with Automatic Labeling and Deep Learning

(2020) Vishal Mahajan et al.   TRANSPORTATION RESEARCH RECORD

MTLM: a multi-task learning model for travel time estimation

(2020) Saijun Xu et al.   GEOINFORMATICA

Short-term traffic speed forecasting based on graph attention temporal convolutional networks

(2020) Ge Guo et al.   NEUROCOMPUTING

Ego-Vehicle Speed Prediction Using a Long Short-Term Memory Based Recurrent Neural Network

(2019) Kyuhwan Yeon et al.   INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY

Simultaneous modeling of car-following and lane-changing behaviors using deep learning

(2019) Xiaohui Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Examining lane change gap acceptance, duration and impact using naturalistic driving data

(2019) Minming Yang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Multivariate time series prediction of lane changing behavior using deep neural network

(2018) Jun Gao et al.   APPLIED INTELLIGENCE

Generation of a Precise and Efficient Lane-Level Road Map for Intelligent Vehicle Systems

(2017) Gi-Poong Gwon et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Adaptive fuzzy pattern classification for the online detection of driver lane change intention

(2017) Franziska Bocklisch et al.   NEUROCOMPUTING

A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset

(2017) Benjamin Coifman et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

Lane changing intention recognition based on speech recognition models

(2016) Keqiang Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Situation assessment and decision making for lane change assistance using ensemble learning methods

(2015) Yi Hou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Modeling the probability of freeway lane-changing collision occurrence considering intervehicle interaction

(2015) Jiangfeng Wang et al.   Traffic Injury Prevention

Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study

(2015) Rong Chen et al.   Traffic Injury Prevention

Logistic regression model for discretionary lane changing under congested traffic

(2015) Minju Park et al.   Transportmetrica A-Transport Science

Inter and intra-individual differences in steering wheel hand positions during a simulated driving task

(2014) Jessica Schiro et al.   ERGONOMICS

Predicting driver’s lane-changing decisions using a neural network model

(2014) Jian Zheng et al.   SIMULATION MODELLING PRACTICE AND THEORY

Investigation of Discretionary Lane-Change Characteristics Using Next-Generation Simulation Data Sets

(2013) Qi Wang et al.   Journal of Intelligent Transportation Systems

Dynamic Modeling of Driver Control Strategy of Lane-Change Behavior and Trajectory Planning for Collision Prediction

(2012) Guoqing Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Interacting Multiple Model Filter-Based Sensor Fusion of GPS With In-Vehicle Sensors for Real-Time Vehicle Positioning

(2011) Kichun Jo et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes

(2009) A. Doshi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS