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Dorine C. Duives
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2020 – today
- 2023
- [j4]Yufei Yuan
, Kaiyi Wang
, Dorine C. Duives, Serge P. Hoogendoorn, Sascha Hoogendoorn-Lanser, Rick Lindeman:
Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data. Sensors 23(24): 9664 (2023) - [i2]Yan Feng, Dorine C. Duives:
Pedestrian wayfinding behavior in a multi-story building: a comprehensive modeling study featuring route choice, wayfinding performance, and observation behavior. CoRR abs/2304.11167 (2023) - 2022
- [j3]Yan Feng
, Dorine C. Duives, Serge P. Hoogendoorn:
Wayfinding behaviour in a multi-level building: A comparative study of HMD VR and Desktop VR. Adv. Eng. Informatics 51: 101475 (2022) - [c3]Jakob Irnich, C. Natalie van der Wal
, Dorine C. Duives, Willem L. Auping
:
Impact of Leader-Follower Behavior on Evacuation Performance: An Exploratory Modeling Approach. ESSA 2022: 153-165 - 2021
- [i1]Yan Feng, Dorine C. Duives, Serge P. Hoogendoorn:
Development of a VR tool to study pedestrian route and exit choice behaviour in a multi-story building. CoRR abs/2103.05560 (2021) - 2020
- [j2]Dorine C. Duives, Tim P. van Oijen, Serge P. Hoogendoorn:
Enhancing Crowd Monitoring System Functionality through Data Fusion: Estimating Flow Rate from Wi-Fi Traces and Automated Counting System Data. Sensors 20(21): 6032 (2020) - [c2]Yan Feng
, Dorine C. Duives, Serge P. Hoogendoorn:
Developing a VR tool for studying pedestrian movement and choice behavior. VR Workshops 2020: 815-816
2010 – 2019
- 2019
- [j1]Dorine C. Duives, Guangxing Wang, Jiwon Kim
:
Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data. Sensors 19(2): 382 (2019) - 2016
- [c1]Yufei Yuan
, Winnie Daamen, Dorine C. Duives, Serge P. Hoogendoorn:
Comparison of three algorithms for real-time pedestrian state estimation - supporting a monitoring dashboard for large-scale events. ITSC 2016: 2601-2606
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last updated on 2024-08-25 19:15 CEST by the dblp team
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