The sequential travel forecasting procedure is widely accepted without question by transportation planners, yet its origins are obscure, its effects on practice and research may well be negative, and by focusing attention on individual steps, it tends to impede overall progress in improving forecasting methods. Alternatives to the sequential procedure proposed by researchers over the past 30 ye...

The traditional four-step model has been widely used in travel demand forecasting by considering trip generation, trip distribution, modal split and traffic assignment sequentially in a fixed order. However, this sequential approach suffers from the inconsistency among the level-of-service and flow values in each step of the procedure. In the last two decades, this problem has been addressed by...

The persuasive techniques in propaganda campaigns impact the Internet environment and our society. Detecting has aroused broad attention natural language processing field. In this paper, we propose a novel emotion-enhanced multi-level representation learning approach for multi-modal detection. To consider emotional factors used techniques, embed text images using different networks, use fully c...

Abstract Method This paper endeavors to introduce a new approach modal split estimation. In the frame of research, customized model recently created Best-Worst (BWM) is applied evaluate mode choice alternatives by transport experts. The integrated BWM tested on real-world case study in Budapest, capital Hungary, where small number selected experts estimate three different groups clustered based...