A Data-driven Inertial Navigation/Bluetooth Fusion Algorithm for Indoor Localization

Analyzing the Impact of Climate Factors on GNSS-Derived Displacements by Combining the Extended Helmert Transformation and XGboost Machine Learning Algorithm

ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems

A Data-Driven Approach to Trip Generation Modeling for Urban Residents and Non-local Travelers

A deep fusion model based on restricted Boltzmann machines for traffic accident duration prediction

A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems

Automated traffic incident detection with a smaller dataset based on generative adversarial networks

Bus Travel Time Prediction Based on Ensemble Learning Methods

Coupled application of deep learning model and quantile regression for travel time and its interval estimation using data in different dimensions

Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data

Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model

Intersection Traffic Signal Optimization Considering Lane-Changing Behavior Caused Nearby Bus Bay Stop Upstream

Missing data estimation method for time series data in structure health monitoring systems by probability principal component analysis

Ranking contributors to traffic crashes on mountainous freeways from an incomplete dataset: A sequential approach of multivariate imputation by chained equations and random forest classifier

Real-time traffic incident detection based on a hybrid deep learning model

A New Solution for Freeway Congestion: Cooperative Speed Limit Control Using Distributed Reinforcement Learning

Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm

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

Revealing the Varying Impact of Urban Built Environment on Online Car-Hailing Travel in Spatio-Temporal Dimension: An Exploratory Analysis in Chengdu, China

Self-reports of workloads and aberrant driving behaviors as predictors of crash rate among taxi drivers: A cross-sectional study in China

The relation between working conditions, aberrant driving behaviour and crash propensity among taxi drivers in China

Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

Analyzing Passenger Travel Demand Related to the Transportation Hub inside a City Area using Mobile Phone Data

An Improved Single-Lane Cellular Automaton Model considering Driver’s Radical Feature

Autonomous and Connected Vehicles: The Capacity of Mixed Traffic Flow at Signalized Intersection with the ACDA-MTD Model

Processing Inductance Loop Detector Data on an Urban Expressways

Relation Among Working Conditions, Aberrant Driving Behavior, and Crash Propensity Among Taxi Drivers in China

Robust and flexible strategy for missing data imputation in intelligent transportation system

Travel time prediction for highway network based on the ensemble empirical mode decomposition and random vector functional link network