Thomas Koch
Thomas Koch
Geverifieerd e-mailadres voor cwi.nl
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Path complexity and bicyclist route choice set quality assessment
T Koch, L Knapen, E Dugundji
Personal and Ubiquitous Computing, 1-13, 2019
32019
Using Neural Nets to Predict Transportation Mode Choice: An Amsterdam Case Study
R Buijs, T Koch, E Dugundji
Procedia Computer Science 170, 115-122, 2020
22020
Long-Term Forecasting of Off-Street Parking Occupancy for Smart Cities
ES Fokker, T Koch, ER Dugundji
Transportation Research Board 100th Annual MeetingTransportation Research Board, 2021
12021
A review of methods to model route choice behavior of bicyclists: inverse reinforcement learning in spatial context and recursive logit
T Koch, E Dugundji
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial …, 2020
12020
Detection of Ships at Mooring Dolphins with Hidden Markov Models
M Waterbolk, J Tump, R Klaver, R van der Woude, D Velleman, ...
Transportation Research Record 2673 (4), 439-447, 2019
12019
Path complexity for observed and predicted bicyclist routes
T Koch, L Knapen, E Dugundji
Procedia Computer Science 151, 393-400, 2019
12019
Determining the effect of lower public transit frequencies in COVID-19 timetables on perceived door-to-door travel times using Pareto optimal range queries
T Koch, ER Dugundji
2021
The Impact of a New Public Transport Line on Parking behavior
ES Fokker, T Koch, ER Dugundji
Procedia Computer Science 184, 210-217, 2021
2021
Applying transfer learning and various ANN architectures to predict transportation mode choice in Amsterdam
R Buijs, T Koch, E Dugundji
Procedia Computer Science 184, 532-540, 2021
2021
Predicting Lessee Switch Behavior using Logit Models
JW Feilzer, D Stroosnier, E Dugundji, T Koch
Procedia Computer Science 184, 380-387, 2021
2021
Forecasting Public Transport Ridership: Management of Information Systems using CNN and LSTM Architectures
S Khalil, C Amrit, T Koch, E Dugundji
Procedia Computer Science 184, 283-290, 2021
2021
Using neural nets to predict transportation mode choice: Amsterdam network change analysis
R Buijs, T Koch, E Dugundji
Journal of Ambient Intelligence and Humanized Computing 12 (1), 121-135, 2021
2021
Limitations of Recursive Logit for Inverse Reinforcement Learning of Bicycle Route Choice Behavior in Amsterdam
T Koch, E Dugundji
Procedia Computer Science 184, 492-499, 2021
2021
Door-to-door transit accessibility using Pareto optimal range queries
T Koch, L Knapen, E Dugundji
Procedia Computer Science 170, 107-114, 2020
2020
Predicting traffic phases from car sensor data using machine learning
T Koch
2019
VU Research Portal
M Waterbolk, J Tump, R Klaver, R van der Woude, D Velleman, ...
Transportation Research Record 2673 (4), 439-447, 2019
2019
Developing Protocol-Agnostic Jammers Using Reinforcement Learning
T Koch
PQDT-Global, 2019
2019
Bicyclist route choice: Data exploration and research project outline
L Knapen, T Koch, E Dugundji
Procedia Computer Science 151, 401-408, 2019
2019
The optimization of traffic count locations in multi-modal networks
T Koch, R Van Der Mei, E Dugundji
Procedia computer science 130, 287-293, 2018
2018
Shortest paths in timetable networks, a new approach using cache-efficient algorithms
T Koch
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Artikelen 1–20