48 citations · 68 across the 6 of their papers we have counts for
6 papers
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…
Game-theoretical approach to decentralized multi-drone conflict resolution and emergent traffic flow operations
Serge Hoogendoorn, Victor Knoop, Hani Mahmassani +1
This paper introduces decentralized control concepts for drones using differential game theory. The approach optimizes the behavior of an ego drone, assuming the anticipated behavi…
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events
Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers +1
This paper presents novel technology and methodology aimed at enhancing crowd management in both the planning and operational phases. The approach encompasses innovative data colle…
An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability
Nejc Geržinič, Oded Cats, Niels van Oort +3
Understanding user's perception of service variability is essential to discern their overall perception of any type of (transport) service. We study the perception of waiting time…
What is the market potential for on-demand services as a train station access mode?
N. Geržinič, O. Cats, N. van Oort +2
On-demand mobility services (FLEX) are often proposed as a solution for the first/last mile problem. We study the potential of using FLEX to improve train station access by means o…
Potential of on-demand services for urban travel
N. Geržinič, N. van Oort, S. Hoogendoorn-Lanser +2
On-demand mobility services are promising to revolutionise urban travel, but preliminary studies are showing they may actually increase total vehicle miles travelled, worsening roa…