Modeling cyclist acceleration process for bicycle traffic simulation using naturalistic data X Ma, D Luo Transportation research part F: traffic psychology and behaviour 40, 130-144, 2016 | 60 | 2016 |
Where shall we sync? Clustering passenger flows to identify urban public transport hubs and their key synchronization priorities M Yap, D Luo, O Cats, N van Oort, S Hoogendoorn Transportation Research Part C: Emerging Technologies 98, 433-448, 2019 | 55 | 2019 |
Constructing Transit Origin–Destination Matrices with Spatial Clustering D Luo, O Cats, H van Lint Transportation Research Record: Journal of the Transportation Research Board …, 2017 | 54 | 2017 |
Can passenger flow distribution be estimated solely based on network properties in public transport systems? D Luo, O Cats, H van Lint Transportation 47 (6), 2757-2776, 2020 | 39 | 2020 |
Integrating network science and public transport accessibility analysis for comparative assessment D Luo, O Cats, H van Lint, G Currie Journal of Transport Geography 80, 102505, 2019 | 37 | 2019 |
Constructing Spatiotemporal Load Profiles of Transit Vehicles with Multiple Data Sources D Luo, L Bonnetain, O Cats, H Van Lint Transportation Research Record: Journal of the Transportation Research Board …, 2018 | 28 | 2018 |
Supervised learning: Predicting passenger load in public transport L Heydenrijk-Ottens, V Degeler, D Luo, N van Oort, J van Lint CASPT Conference on Advanced Systems in Public Transport and TransitData, 30-32, 2018 | 22 | 2018 |
Analysis of network-wide transit passenger flows based on principal component analysis D Luo, O Cats, H van Lint 2017 5th IEEE International Conference on Models and Technologies for …, 2017 | 11 | 2017 |
Unraveling the Hierarchy of Public Transport Networks Z Wang, D Luo, O Cats, T Verma 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 10 | 2020 |
Unsupervised approach towards analysing the public transport bunching swings formation phenomenon V Degeler, L Heydenrijk-Ottens, D Luo, N Van Oort, H Van Lint Public Transport 13, 533-555, 2021 | 9 | 2021 |
Modeling of Cyclist Acceleration Behavior Using Naturalistic GPS Data D Luo, X Ma Transportation Research Board 95th Annual Meeting, 2016 | 4 | 2016 |
Modeling of cyclists acceleration behavior using naturalistic data D Luo KTH Royal Institute of Technology, 2014 | 4 | 2014 |
Analysis of cyclist behavior using naturalistic data: data processing for model development D Luo, X Ma International Cycling Safety Conference (ICSC2014), 3rd, 2014, Gothenburg …, 2014 | 3 | 2014 |
A Data-Driven Integrated Framework for Fast-Charging Facility Planning Using Multi-Period Bi-Objective Optimization M He, P Krishnakumari, D Luo, J Chen 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
Data-driven Analysis and Modeling of Passenger Flows and Service Networks for Public Transport Systems D Luo TRAIL, 2020 | 1 | 2020 |
Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling. T van Etten, V Degeler, D Luo VEHITS, 40-51, 2024 | | 2024 |