A generative adversarial network for travel times imputation using trajectory data

Dynamic headway control for high-frequency bus line based on speed guidance and intersection signal adjustment

(2019) Yiming Bie et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A deep learning based multitask model for network-wide traffic speed predication

(2019) Kunpeng Zhang et al.   NEUROCOMPUTING

Network-wide identification of turn-level intersection congestion using only low-frequency probe vehicle data

(2019) Zhengbing He et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks

(2019) Yuanyuan Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Short-Term Prediction of Passenger Demand in Multi-Zone Level: Temporal Convolutional Neural Network With Multi-Task Learning

(2019) Kunpeng Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Feature selection-based approach for urban short-term travel speed prediction

(2018) Liang Zheng et al.   IET Intelligent Transport Systems

An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR

(2018) Qiang Shang et al.   JOURNAL OF ADVANCED TRANSPORTATION

Missing data imputation for traffic flow speed using spatio-temporal cokriging

(2018) Bumjoon Bae et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

On the imputation of missing data for road traffic forecasting: New insights and novel techniques

(2018) Ibai Laña et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Generative Adversarial Networks for Parallel Transportation Systems

(2018) Yisheng Lv et al.   IEEE Intelligent Transportation Systems Magazine

Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework

(2018) Yilun Lin et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes

(2018) Mohammad Hossein Rafiei et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Innovative method for traffic data imputation based on convolutional neural network

(2018) Yifan Zhuang et al.   IET Intelligent Transport Systems

A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation

(2018) Xinyu Chen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic-State Estimation

(2018) Yunyi Liang et al.   TRANSPORTATION RESEARCH RECORD

Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method

(2018) Linchao Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A novel machine learning-based algorithm to detect damage in high-rise building structures

(2017) Mohammad Hossein Rafiei et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

An efficient realization of deep learning for traffic data imputation

(2016) Yanjie Duan et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Trend Modeling for Traffic Time Series Analysis: An Integrated Study

(2015) Li Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation

(2015) Jinjun Tang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term traffic forecasting: Where we are and where we’re going

(2014) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data

(2013) Timothy Hunter et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Missing traffic data: comparison of imputation methods

(2013) Yuebiao Li et al.   IET Intelligent Transport Systems

Efficient missing data imputing for traffic flow by considering temporal and spatial dependence

(2013) Li Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach

(2009) Li Qu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS