Sander van Cranenburgh

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Conflict Detection

Machine Learning

Top Venues

Comput. Environ. Urban Syst.

Math. Soc. Sci.

Publications

Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh, Hans van Lint
A unified theory and statistical learning approach for traffic conflict detection. CoRR (2024)
Jeroen Delfos, Anneke Zuiderwijk-van Eijk, Sander van Cranenburgh, Caspar G. Chorus, Roel I. J. Dobbe
Integral system safety for machine learning in the public sector: An empirical account. Gov. Inf. Q. 41 (3) (2024)
Jose Ignacio Hernandez, Niek Mouter, Sander van Cranenburgh
An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks. CoRR (2024)
Yiru Jiao, Simeon Craig Calvert, Hans van Lint, Sander van Cranenburgh
Identifying Vehicle Interaction at Urban Intersections: A Comparison of Proximity Resistance, Time-to-Collision, and Post-Encroachment-Time. ITSC (2023)
Francisco Garrido-Valenzuela, Oded Cats, Sander van Cranenburgh
Where are the people? Counting people in millions of street-level images to explore associations between people's urban density and urban characteristics. Comput. Environ. Urban Syst. 102 (2023)
Lucas Spierenburg, Sander van Cranenburgh, Oded Cats
Characterizing residential segregation in cities using intensity, separation, and scale indicators. Comput. Environ. Urban Syst. 103 (2023)
Sander van Cranenburgh, Francisco Garrido-Valenzuela
Computer vision-enriched discrete choice models, with an application to residential location choice. CoRR (2023)
Ruben Sangers, Jan van Gemert, Sander van Cranenburgh
Explainability of Deep Learning models for Urban Space perception. CoRR (2022)
Jeroen Delfos, Anneke Zuiderwijk, Sander van Cranenburgh, Caspar G. Chorus
Perceived challenges and opportunities of machine learning applications in governmental organisations: an interview-based exploration in the Netherlands. ICEGOV (2022)
Caspar G. Chorus, Sander van Cranenburgh, Aemiro Melkamu Daniel, Erlend Dancke Sandorf, Anae Sobhani, Teodóra Szép
Obfuscation maximization-based decision-making: Theory, methodology and first empirical evidence. Math. Soc. Sci. 109 (2021)
Sander van Cranenburgh, Marco Kouwenhoven
Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution. IWANN (1) (2019)