Multi-modal interactions at the network-level remain unexplored due to lack of high-resolution data for all transportation modes involved. The current work investigates effect multi-modal space-mean network speed each mode using dataset from pNEUMA experiment that was carried out in a congested city centre Athens, Greece. Explanatory variables considered are accumulation and stopped fraction ve...

We carry out an experimental analysis of a number of shortest path (routing) algorithms investigated in the context of the TRANSIMS (TRansportation ANalysis and SIMulation System) project. The main focus of the paper is to study how various heuristic as well as exact solutions and associated data structures aaected the computational performance of the software developed especially for realistic...

We carry out an experimental analysis of a number of shortest path (routing) algorithms investigated in the context of the TRANSIMS (TRansportation ANalysis and SIMulation System) project. The main focus of the paper is to study how various heuristic and exact solutions, associated data structures affected the computational performance of the software developed especially for realistic transpor...

in this paper, a novel multi-objective bus stop location model is proposed, which considers not only the coverage of demand and minimization of access time but also the necessities of suitable stops for transit network design phase. three objective functions are considered including minimizing (i) sum of the total access distance (time), (ii) the weighted combination of stops, and (iii) the num...

the goal of this paper is to develop a decision support system (dss) as a journey planner in complex and large multimodal urban network called rahyar. rahyar attempts to identify the most desirable itinerary among all feasible alternatives. the desirability of an itinerary is measured by a disutility function, which is defined as a weighted sum of some criteria. the weights represent travelers’...

We present novel method for image-text multi-modal representation learning. In our knowledge, this work is the first approach of applying adversarial learning concept to multi-modal learning and not exploiting image-text pair information to learn multi-modal feature. We only use category information in contrast with most previous methods using image-text pair information for multi-modal embeddi...

My essay, “Multi-modal argumentation” was published in the journal, Philosophy of Social Sciences, 1994. This information appeared again my book, Coalescent argumentation 1997. In ensuing twenty years, there have been many changes theory, and I would like to take this opportunity examine now middle-aged theory light developments our discipline. will begin by relating how a once keen intended la...

Multi-modal test execution allows execution of the same test against various layers and components of a software system. This paper presents a method that effectively encodes one-to-many test definition and test execution relationship of multi-modal functional tests without creating large test maintenance overhead. Our approach extends the Fit table specification structure by multi-modal fixtur...

Multi-modal pedestrian detection, which integrates visible and thermal sensors, has been developed to overcome many limitations of visible-modal such as poor illumination, cluttered background, occlusion. By adopting the combination multiple modalities, we can efficiently detect pedestrians even with visibility. Nevertheless, critical assumption multi-modal detection is that images are perfectl...