activity
20142026
most citedFramework for Network-Constrained Tracking of Cyclists and Pedestrians

11 citations · 16 across the 8 of their papers we have counts for

collaborators

9 papers

cs.LG2026

How Good Are Time-Series Foundation Models for Pedestrian Crowd Count Forecasting? A Cross-Dataset Comparative Study

Theivaprakasham Hari, Ziteng Li, Yanan Xin +2

Pedestrian-count forecasting supports pedestrian-oriented Intelligent Transportation Systems (ITS), including crowd monitoring, pedestrian-traffic staffing and routing, and proacti…

cs.LG2026

Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting

Theivaprakasham Hari, Yanan Xin, Winnie Daamen +2

In many operational time-series forecasting applications, such as crowd demand forecasting, the risk related to under-prediction is substantially higher than that of over-predictio…

cs.LG2026

Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints

Ting Gao, Stavros Orfanoudakis, Nan Lin +3

Balancing policy expressiveness with the exploration-exploitation trade-off is a core challenge in online Reinforcement Learning (RL). While Stochastic Differential Equation (SDE)-…

cs.LG2025

Q-Net: Queue Length Estimation via Kalman-based Neural Networks

Ting Gao, Elvin Isufi, Winnie Daamen +2

Estimating queue lengths at signalized intersections is a long-standing challenge in traffic management. Partial observability of vehicle flows complicates this task despite the av…

physics.soc-ph2022★ 3 cited

A novel activity choice and scheduling model to model activity schedules of customers and staff in Dutch restaurants

Martijn Sparnaaij, Yufei Yuan, Winnie Daamen +1

The Covid-19 pandemic has had a large impact on the world. The virus spreads especially easily among people in indoor spaces such as restaurants. Hence, tools that can assess if an…

eess.SP2022★ 11 cited

Framework for Network-Constrained Tracking of Cyclists and Pedestrians

Alphonse Vial, Gustaf Hendeby, Winnie Daamen +2

The increase in perception capabilities of connected mobile sensor platforms (e.g., self-driving vehicles, drones, and robots) leads to an extensive surge of sensed features at var…

physics.soc-ph2019★ 2 cited

How many people can simultaneously move through a pedestrian space? The impact of complex flow situations on the shape of the fundamental diagram

Dorine C. Duives, Martijn Sparnaaij, Winnie Daamen +1

Pedestrian crowding occurs more frequent. As a result of the increasing pedestrian demand in public space, the limits of pedestrian spaces are of increasing interest. Some research…

math.NA2014

The Lagrangian coordinate system and what it means for two-dimensional crowd flow models

Femke van Wageningen-Kessels, Ludovic Leclercq, Winnie Daamen +1

A continuum crowd flow model is reformulated in the Lagrangian coordinate system. The system has proven to give computational advantages over the traditional Eulerian coordinate sy…

physics.soc-ph2014

Modelling supported driving as an optimal control cycle: Framework and model characteristics

Meng Wang, Martin Treiber, Winnie Daamen +2

Driver assistance systems support drivers in operating vehicles in a safe, comfortable and efficient way, and thus may induce changes in traffic flow characteristics. This paper pu…