Zobrazeno 1 - 10
of 2 337
pro vyhledávání: '"Hoogendoorn P"'
Current approaches to identifying driving heterogeneity face challenges in comprehending fundamental patterns from the perspective of underlying driving behavior mechanisms. The concept of Action phases was proposed in our previous work, capturing th
Externí odkaz:
http://arxiv.org/abs/2407.17518
Lane-changing (LC) is a challenging scenario for connected and automated vehicles (CAVs) because of the complex dynamics and high uncertainty of the traffic environment. This challenge can be handled by deep reinforcement learning (DRL) approaches, l
Externí odkaz:
http://arxiv.org/abs/2407.02521
Activation functions are one of the key components of a deep neural network. The most commonly used activation functions can be classed into the category of continuously differentiable (e.g. tanh) and piece-wise linear functions (e.g. ReLU), both hav
Externí odkaz:
http://arxiv.org/abs/2406.09079
Autor:
Gansekoele, Arwin, Balatsoukas-Stimming, Alexios, Brusse, Tom, Hoogendoorn, Mark, Bhulai, Sandjai, van der Mei, Rob
As telecommunication systems evolve to meet increasing demands, integrating deep neural networks (DNNs) has shown promise in enhancing performance. However, the trade-off between accuracy and flexibility remains challenging when replacing traditional
Externí odkaz:
http://arxiv.org/abs/2405.09909
Encryption on the internet with the shift to HTTPS has been an important step to improve the privacy of internet users. However, there is an increasing body of work about extracting information from encrypted internet traffic without having to decryp
Externí odkaz:
http://arxiv.org/abs/2405.09902
This paper introduces decentralized control concepts for drones using differential game theory. The approach optimizes the behavior of an ego drone, assuming the anticipated behavior of the opponent drones using a receding horizon approach. For each
Externí odkaz:
http://arxiv.org/abs/2308.01069
Autor:
Krishnakumari, Panchamy, Hoogendoorn-Lanser, Sascha, Steenbakkers, Jeroen, Hoogendoorn, Serge
This paper presents novel technology and methodology aimed at enhancing crowd management in both the planning and operational phases. The approach encompasses innovative data collection techniques, data integration, and visualization using a 3D Digit
Externí odkaz:
http://arxiv.org/abs/2308.00076
Autor:
Hoogendoorn, Ymro N., Dalmeijer, Kevin
State-of-the-art exact methods for vehicle routing problems (VRPs) often use a branch-price-and-cut framework. Valid inequalities are 'non-robust' if they complicate the pricing subproblem and 'robust' if they do not. We introduce 'resource-robust' a
Externí odkaz:
http://arxiv.org/abs/2311.04825
Autor:
Hoogendoorn, Levi, Huertas, Mauricio, Nitz, Phillip, Qi, Naiyu, Baller, Johannes, Prinz, Carsten, Graeber, Gustav
Sorbents are promising materials for applications in atmospheric water harvesting, thermal energy storage, and passive cooling, thereby addressing central challenges related to water scarcity and the global energy transition. Recently, hygroscopic hy
Externí odkaz:
http://arxiv.org/abs/2311.03218
Autor:
Martin Hoogendoorn
Publikováno v:
MAB, Vol 98, Iss 5, Pp 169-186 (2024)
In dit artikel wordt een overzicht gegeven van de mate waarin in 100 jaar MAB aandacht is besteed aan conceptuele raamwerken van de IASB en de RJ en aan algemene beginselen. In 97 artikelen is dit onderwerp op meer of minder uitgebreide wijze behande
Externí odkaz:
https://doaj.org/article/862cbe0249004882adcf80cf256eefd7
