Searched for: subject%3A%22demand%255C+prediction%22
(1 - 11 of 11)
document
Wittenberg, Mels (author)
Efficient maintenance scheduling is a critical objective for aircraft carriers and Maintenance Repair and Overhaul Organizations (MROs) to minimize aircraft downtime. While predictive maintenance models have improved, accurately identifying materials, especially spare parts, for specific maintenance events remains challenging. This paper...
master thesis 2023
document
Guo, Rongge (author), Bhatnagar, Saumya (author), Guan, Wei (author), Vallati, Mauro (author), Sharif Azadeh, S. (author)
This paper presents a novel framework for customised modular bus systems that leverages travel demand prediction and modular autonomous vehicles to optimise services proactively. The proposed framework addresses two prediction scenarios with different forward-looking operations: optimistic operation and pessimistic operation. A mixed integer...
journal article 2023
document
van der Horst, Gerben (author)
Urban mobility is challenged with increasing demand, while at the same time reducing emissions, without leading to an unpleasant living environment. Reducing the number of stops on the urban arterial controlled by the coordinated traffic controller can provide (part of) the solution to these challenges for urban mobility. Coordinated traffic...
master thesis 2022
document
Mu, Li (author), Zheng, Feifei (author), Tao, Ruoling (author), Zhang, Qingzhou (author), Kapelan, Z. (author)
This case study uses a long short-term memory (LSTM)-based model to predict short-term urban water demands for the Hefei City of China. The performance of the LSTM-based model is compared with the autoregressive integrated moving average (ARIMA) model, the support vector regression (SVR) model, and the random forests (RF) model based on data...
journal article 2020
document
Reyes, Maria Fernanda (author), Trifunović, Nemanja (author), Sharma, Saroj Kumar (author), Behzadian, Kourosh (author), Kapelan, Zoran (author), Kennedy, M.D. (author)
Santa Cruz Island (Galápagos Archipelago), like many other tourist islands, is currently experiencing an exponential increase in tourism and local population growth, jeopardizing current and future water supply. An accurate assessment of the future water supply/demand balance is crucial to capital investment for water infrastructure. This...
journal article 2017
document
Van Oort, N. (author), Drost, M. (author), Brands, T. (author), Yap, M. (author)
The most important aspects on which passengers base their choice whether to travel by public transport are the perceived travel time, costs, reliability and comfort. Despite its importance, comfort is often not explicitly considered when predicting demand for public transport. In this paper, we include comfort level in a modelling framework by...
conference paper 2015
document
Van Oort, N. (author), Drost, M. (author), Brands, T. (author), Yap, M. (author)
lecture notes 2015
document
Wang, Y. (author)
Traffic becomes more congested due to the growing demand. As a consequence, improving traffic flow by means of traffic control is a key focus in many countries. However, road traffic is one of the most complex systems to control. In this thesis, a distributed solution for traffic prediction and control is proposed to reduce this complexity and...
doctoral thesis 2015
document
Ma, Y. (author), Kuik, R. (author), Van Zuylen, H.J. (author)
Prediction of traffic demand is essential, either for an understanding of the future traffic state or so necessary measures can be taken to alleviate congestion. Usually, an origin-destination (O-D) matrix is used to represent traffic demand between two zones in transportation planning. Vehicles are assumed to be homogeneous; the trips of each...
journal article 2013
document
Bakker, M. (author), Vreeburg, J.H.G. (author), Van der Roer, M. (author), Sperber, V. (author)
An algorithm which compares measured and predicted water demands to detect pipe bursts was developed and tested on three data sets of water demand and reported pipe bursts of three years. The algorithm proved to be able to detect bursts where the water loss exceeds 30% of the average water demand in the area. The accuracy depends on the...
conference paper 2012
document
Bakker, M. (author), Lapikas, T. (author), Tangena, B.H. (author), Vreeburg, J.H.G. (author)
Water supply systems are vulnerable to damage caused by unintended or intended human actions, or due to aging of the system. In order to minimize the damages and the inconvenience for the customers, a software tool was developed to detect anomalies at an early stage, and to support the responsible staff in taking the right decisions to restore...
conference paper 2012
Searched for: subject%3A%22demand%255C+prediction%22
(1 - 11 of 11)