Land use uncertainty in transportation forecast by Hana Sevcikova, Brice Nichols

Get full text

RETRACTED: Analytical model of reliability of the freight rail transportation forecasting system by Zhuravleva Natalia, Chechenova Liana

Get full text

Traffic organization and transport forecast for the proposed Otwock – Karczew railway line by Szymon Klemba

“…It is assumed that the existing route of Fast Urban Railway line would be extended or a new circle line would be launched. Transport forecasts were developed using the Polish Integrated Traffic Model. …”
Get full text

Post-Recession Recovery in US Air Transport: Forecasting with a Temporal Causal Model by Maja Ozmec-Ban, Ružica Škurla Babić, Vladimir Vasić, Dajana Bartulović

“…A temporal causal model, integrating air transport and socio-economic metrics, is introduced to improve passenger air transport forecasting. Forecasted values from the temporal causal model and an ARIMA model were compared with actual realized traffic to assess the quality and accuracy of the models. …”
Get full text

An integrated land-use/transportation forecasting and planning model: A metropolitan planning support system by Ardeshir Anjomani

Get full text

High-Resolution Flow and Phosphorus Forecasting Using ANN Models, Catering for Extremes in the Case of the River Swale (UK) by Elisabeta Cristina Timis, Horia Hangan, Vasile Mircea Cristea, Norbert Botond Mihaly, Michael George Hutchins

Subjects: “…pollutant transport forecast…”
Get full text

Sunsetting skim matrices: A trajectory-mining approach to derive travel time skim matrix in dynamic traffic assignment for activity-base model integration by Ye Tian, Yi-Chang Chiu, Jian Sun, Chen Chai

“…The travel impedance skim matrix is one of the most essential intermediate products within transportation forecasting models and is a fundamental input for activity-based transportation forecasting models. …”
Get full text

Road Freight Demand Forecasting Using National Accounts’ Data—The Case of Cereals by Taha Karasu, Pekka Leviäkangas, David John Edwards

“…This paper investigates the potential of utilising historical agricultural production data for enhancing road freight transport forecasting, focusing on cereal production. This study applies a multiple linear regression analysis using national statistical accounts and secondary data. …”
Get full text

Impact of Airborne Radio Occultation Observations on Short Term Precipitation Forecasts of an Atmospheric River by Phuong‐Nghi Do, Jennifer S. Haase, Ivette Hernández Baños, Pawel Hordyniec, Bing Cao

“…The results show that ARO assimilation corrects moisture, temperature, and wind fields, and reduces the error in the integrated vapor transport forecast at landfall. The changes mitigate overestimated precipitation in mountainous regions of Washington and Idaho.…”
Get full text

Testing microsimulation uncertainty of the parcel-based space development module of the Baltimore PECAS Demo Model by Wanle Wang, Ming Zhong, Yiming Zhang, Yaqiu Li, Jing Ge, John Douglas Hunt, John Edward Abraham

“…This paper studies the dynamics or uncertainty of outputs of the parcel-based space development module of an integrated land-use and transport forecasting model—the Baltimore PECAS Demo Model. …”
Get full text

The interaction of spatial planning and transport policy: A regional perspective on sprawl by Veronika Kulmer, Olivia Koland, Karl W Steininger, Bernhard Fürst, Andreas Käfer

“…We link a multi-region computable general equilibrium model that incorporates elements of the new economic geography with a transport forecast model. The general equilibrium model illustrates residential choice between urban and peripheral regions, while the transport model depicts the transport implications thereof. …”
Get full text

Intermittent Demand Forecasting for Spare Parts Using Artificial Neural Networks and Deep Learning: Literature Review by Omnia Nabil, Nahid Afia, T Ismail

Get full text

Quantum neural networks with data re-uploading for urban traffic time series forecasting by Nikolaos Schetakis, Paolo Bonfini, Negin Alisoltani, Konstantinos Blazakis, Symeon I. Tsintzos, Alexis Askitopoulos, Davit Aghamalyan, Panagiotis Fafoutellis, Eleni I. Vlahogianni

“…In this endeavor we explore the application of Quantum Neural Networks (QNN), and, notably, we present the first application of quantum data re-uploading in the context of transport forecasting. This technique allows quantum models to better capture complex patterns, such as traffic dynamics, by repeatedly encoding classical data into a quantum state. …”
Get full text