| _ | taxi | _ |
|---|
| A2E: Attribute-Based Anonymity-Enhanced Authentication for Accessing Driverless | taxi | Service |
| Analysis of | taxi | Drivers' Behaviors Within a Battle Between Two Taxi Apps |
| Analysis of | taxi | Drivers' Behaviors Within a Battle Between Two Taxi Apps |
| Assessing Patient bypass Behavior Using | taxi | Trip Origin-Destination (OD) Data |
| Assignment-Based Approach to Efficient Real-Time City-Scale | taxi | Dispatching, An |
| Attention-Based Deep Ensemble Net for Large-Scale Online | taxi | -Hailing Demand Prediction |
| Autonomous Campus Mobility Services Using Driverless | taxi | |
| B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale | taxi | GPS Traces |
| BERT-Based Deep Spatial-Temporal Network for | taxi | Demand Prediction |
| Building Personalized Transportation Model for Online | taxi | -Hailing Demand Prediction |
| Can ride-sharing become attractive? A case study of | taxi | -sharing employing a simulation modelling approach |
| CARE-Share: A Cooperative and Adaptive Strategy for Distributed | taxi | Ride Sharing |
| Characteristics Exploration of Hospitals in Shanghai through Spatial Relationship Using | taxi | Data |
| Characterization of Mobility Patterns With a Hierarchical Clustering of Origin-Destination GPS | taxi | Data |
| City-scale | taxi | Demand Prediction Using Multisource Urban Geospatial Data |
| Clustering-Based Multi-Agent Reinforcement Learning Framework for Finer-Grained | taxi | Dispatching, A |
| Collaborative Method for Route Discovery Using | taxi | Drivers' Experience and Preferences, A |
| Comparative Analysis of Spatial-Temporal Distribution between Traditional | taxi | Service and Emerging Ride-Hailing |
| Context-Aware Matrix Factorization for the Identification of Urban Functional Regions with POI and | taxi | OD Data |
| Context-Aware | taxi | Dispatching at City-Scale Using Deep Reinforcement Learning |
| Contextualized Spatial-Temporal Network for | taxi | Origin-Destination Demand Prediction |
| Continuous | taxi | Pickup Path Recommendation under The Carbon Neutrality Context, A |
| Coupling Makes Better: An Intertwined Neural Network for | taxi | and Ridesourcing Demand Co-Prediction |
| Crowdsourcing Regional Coverage Balancing Method Based on Transfer Learning in | taxi | Service |
| DeepFM-based | taxi | Pick-up Area Recommendation |
| Demand, Supply, and Performance of Street-Hail | taxi | |
| Detecting and Analyzing Urban Centers Based on the Localized Contour Tree Method Using | taxi | Trajectory Data: A Case Study of Shanghai |
| Detecting Anomalous Trajectories and Behavior Patterns Using Hierarchical Clustering from | taxi | GPS Data |
| Detecting | taxi | Trajectory Anomaly Based on Spatio-Temporal Relations |
| Detection Of Transport Land-use Data Using Crowdsourcing | taxi | Trajectory, The |
| Discovering Fine-Grained Spatial Pattern From | taxi | Trips: Where Point Process Meets Matrix Decomposition and Factorization |
| Discovering Frequent Movement Paths From | taxi | Trajectory Data Using Spatially Embedded Networks and Association Rules |
| Discretization-Free Particle-Based | taxi | Dispatch Methods With Network Flow Decomposition |
| Driving Event Recognition of Battery Electric | taxi | Based on Big Data Analysis |
| Dynamic Graph Convolutional Network-Based Prediction of the Urban Grid-Level | taxi | Demand-Supply Imbalance Using GPS Trajectories |
| Empty vehicle redistribution and fleet size in autonomous | taxi | systems |
| Exploring App-Based | taxi | Movement Patterns from Large-Scale Geolocation Data |
| Exploring Driving Factors of Higher Paid | taxi | Trips Using Origin-destination GPS Data (case Study: Green Taxis of New York City) |
| Exploring Spatiotemporal Patterns of Long-Distance | taxi | Rides in Shanghai |
| Exploring the Influence of E-Hailing Applications on the | taxi | Industry: From the Perspective of the Drivers |
| Finding a | taxi | With Illegal Driver Substitution Activity via Behavior Modelings |
| From | taxi | GPS traces to social and community dynamics: A survey |
| Game Theoretic Solution for the Territory Sharing Problem in Social | taxi | Networks, A |
| Generative Adversarial Imitation Learning Approach for Realistic Aircraft | taxi | -Speed Modeling, A |
| Graph-Based Approach to Measuring the Efficiency of an Urban | taxi | Service System, A |
| GREEN: A Global Optimization Scheme for Transportation Efficiency by Mining | taxi | Mobility |
| Grids Versus Graphs: Partitioning Space for Improved | taxi | Demand-Supply Forecasts |
| H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban | taxi | Dispatch |
| HMM-Based Map Matching and Spatiotemporal Analysis for Matching Errors with | taxi | Trajectories |
| Identification of Urban Functional Areas by Coupling Satellite Images and | taxi | GPS Trajectories |
| Identification of Urban Functional Regions in Chengdu Based on | taxi | Trajectory Time Series Data |
| Improved approach for time-based | taxi | trajectory planning towards conflict-free, efficient and fluent airport ground movement |
| Improving Viability of Electric | taxi | s by Taxi Service Strategy Optimization: A Big Data Study of New York City |
| Improving YOLOv8 with parallel frequency channel attention for | taxi | passengers |
| Incorporating Graph Attention and Recurrent Architectures for City-Wide | taxi | Demand Prediction |
| Interactions between Bus, Metro, and | taxi | Use before and after the Chinese Spring Festival |
| Interday Stability of | taxi | Travel Flow in Urban Areas |
| Investigating Human Travel Patterns from an Activity Semantic Flow Perspective: A Case Study within the Fifth Ring Road in Beijing Using | taxi | Trajectory Data |
| Investigating Public Facility Characteristics from a Spatial Interaction Perspective: A Case Study of Beijing Hospitals Using | taxi | Data |
| K-nearest Neighbour Query Performance Analyses On a Large Scale | taxi | Dataset: Postgresql Vs. Mongodb |
| Land-Use Classification Using | taxi | GPS Traces |
| Latent Semantic Sequence Coding Applied to | taxi | Travel Time Estimation |
| Leveraging Big Data and Coordinated Charging for Effective | taxi | Fleet Electrification: The 100% EV Conversion of Shenzhen, China |
| Local Maximum Density Approach for Small-scale Clustering of Urban | taxi | Stops |
| Local-Perception-Enhanced Spatial-Temporal Evolving Graph Transformer Network: Citywide Demand Prediction of | taxi | and Ride-Hailing |
| Matching Model for Door-to-Door Multimodal Transit by Integrating | taxi | -Sharing and Subways, A |
| Measuring Maximum Urban Capacity of | taxi | -Based Logistics |
| META: A City-Wide | taxi | Repositioning Framework Based on Multi-Agent Reinforcement Learning |
| Mining Factors Affecting | taxi | Detour Behavior from GPS Traces at Directional Road Segment Level |
| Mining | taxi | trajectories for most suitable stations of sharing bikes to ease traffic congestion |
| Mixed Path Size Logit-Based | taxi | Customer-Search Model Considering Spatio-Temporal Factors in Route Choice, A |
| MLRNN: | taxi | Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis |
| Modelling multiple quantiles together with the mean based on SA-ConvLSTM for | taxi | pick-up prediction |
| Modelling | taxi | Drivers' Behaviour for the Next Destination Prediction |
| OD Flow Clustering Method Based on Vector Constraints: A Case Study for Beijing | taxi | Origin-Destination Data, An |
| On-Demand Dynamic Intercity Shared- | taxi | System With Re-Optimization |
| On-Demand Ride Systems, Car Sharing, | taxi | , Analysis |
| Optimizing Cruising Routes for | taxi | Drivers Using a Spatio-Temporal Trajectory Model |
| Patterns of Nighttime Crowd Flows in Tourism Cities Based on | taxi | Data: Take Haikou Prefecture as an Example |
| Performance of Multiagent | taxi | Dispatch on Extended-Runtime Taxi Availability: A Simulation Study |
| Performance of Multiagent | taxi | Dispatch on Extended-Runtime Taxi Availability: A Simulation Study |
| Predicting adoption of mobile payments from the perspective of | taxi | drivers |
| Predicting | taxi | Demand Based on 3D Convolutional Neural Network and Multi-task Learning |
| Predicting | taxi | -Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks |
| Predicting | taxi | -Passenger Demand Using Streaming Data |
| Predicting the Upcoming Services of Vacant | taxi | s near Fixed Locations Using Taxi Trajectories |
| Prediction of | taxi | Destinations Using a Novel Data Embedding Method and Ensemble Learning |
| Profitable | taxi | Travel Route Recommendation Based on Big Taxi Trajectory Data |
| Profitable | taxi | Travel Route Recommendation Based on Big Taxi Trajectory Data |
| Real-Time Prediction of | taxi | Demand Using Recurrent Neural Networks |
| Real-Time | taxi | -Passenger Matching Using a Differential Evolutionary Fuzzy Controller |
| Research on conflict detection model for | taxi | -in process on the apron based on aircraft wingtip keypoint detection |
| Research on origin-destination travel demand prediction method of inter-regional online | taxi | based on SpatialOD-BiConvLSTM |
| Revealing Recurrent Urban Congestion Evolution Patterns with | taxi | Trajectories |
| Revealing Spatial-Temporal Characteristics and Patterns of Urban Travel: A Large-Scale Analysis and Visualization Study with | taxi | GPS Data |
| Revealing | taxi | Interaction Network of Urban Functional Area Units in Shenzhen, China |
| RSTR: A Two-Layer | taxi | Repositioning Strategy Using Multi-Agent Reinforcement Learning |
| Shared Ride Systems, Car Sharing, | taxi | , Analysis |
| Spatial and Temporal Characteristics of Urban Tourism Travel by | taxi | : A Case Study of Shenzhen |
| Spatial-Temporal Diffusion Convolutional Network: A Novel Framework for | taxi | Demand Forecasting |
| Spatio-Temporal Schedule-Based Neural Network for Urban | taxi | Waiting Time Prediction, A |
| Spatiotemporal Analysis of | taxi | -Driver Shifts Using Big Trace Data |
| Spatiotemporal Influence of Urban Environment on | taxi | Ridership Using Geographically and Temporally Weighted Regression |
| Spatiotemporal Varying Effects of Built Environment on | taxi | and Ride-Hailing Ridership in New York City |
| taxi | Demand Forecasting: A HEDGE-Based Tessellation Strategy for Improved Accuracy |
| taxi | Demand Prediction Using Parallel Multi-Task Learning Model |
| taxi | Drivers' Cruising Patterns: Insights from Taxi GPS Traces |
| taxi | Drivers' Cruising Patterns: Insights from Taxi GPS Traces |
| taxi | -Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven Learning Approaches |
| taxi | -Cruising Recommendation via Real-Time Information and Historical Trajectory Data |
| taxi | -Passenger's Destination Prediction via GPS Embedding and Attention-Based BiLSTM Model |
| taxi | -RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data |
| taxi | -RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data |
| taxi | -RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data |
| Temporal Directed Graph Convolution Network for Traffic Forecasting Using | taxi | Trajectory Data, A |
| Time-of-Day Pricing in | taxi | Markets |
| Trip destination prediction based on a deep integration network by fusing multiple features from | taxi | trajectories |
| TripImputor: Real-Time Imputing | taxi | Trip Purpose Leveraging Multi-Sourced Urban Data |
| Two-Layer Model for | taxi | Customer Searching Behaviors Using GPS Trajectory Data, A |
| Uncovering Factors Affecting | taxi | Income from GPS Traces at the Directional Road Segment Level |
| Uncovering Spatial Inequality in | taxi | Services in the Context of a Subsidy War among E-Hailing Apps |
| Uncovering the Relationship between Urban Road Network Topology and | taxi | Drivers' Income: A Perspective from Spatial Design Network Analysis |
| Understanding Spatiotemporal Variations of Ridership by Multiple | taxi | Services |
| Understanding | taxi | Service Strategies from Taxi GPS Traces |
| Understanding | taxi | Service Strategies from Taxi GPS Traces |
| Unfolding Spatial-Temporal Patterns of | taxi | Trip based on an Improved Network Kernel Density Estimation |
| Unlicensed | taxi | Identification Model Based on Big Data Analysis, An |
| Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on | taxi | Trajectory Data |
| Urban Traffic Coulomb's Law: A New Approach for | taxi | Route Recommendation |
| Visualization of | taxi | Drivers' Income and Mobility Intelligence |
130 for taxi