Traffic congestion causes huge economic loss worldwide in every year due to wasted fuel, excessive air pollution, lost time, and reduced productivity. Understanding how humans move and select the transportation mode throughout a large-scale transportation network is vital for urban congestion prediction and transportation scheduling. In this study, we collect big and heterogeneous data (e.g., G...

The paper presents a formal analysis which incorporates returns to transportation into a Ricardian framework to predict trade patterns. The important point to be gained from this analysis is that increasing returns to transportation, coupled with appropriate distances between trading partners can be shown to reverse Ricardian predictions even when there are no international differences in taste...

in this paper, we develop a freight transportation model for railway network considering hazmat transportation issue. in the transportation system considered, different customers can request for carrying hazmat and non- hazmat boxes. it is assumed that the sequence of the trains in the network is known. the objective is assigning the non-hazmat boxes and hazmat boxes to wagons of the trains so ...

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Opto-thermocapillary flow-addressed bubble (OFB) microrobots are a potential tool for the efficient transportation of micro-objects. This microrobot system uses light patterns to generate thermal gradients within a liquid medium, creating thermocapillary forces that actuate the bubble microrobots. An interactive control system that includes scanning mirrors and a touchscreen interface was devel...

--Basic research in information management, software architecture, human factors, traffic prediction and transportation planning is necessary to manage the integration of millions of disparate computers and sensors, in a high mobility environment, into a collaborative system. This system will then enable solutions to a set of transportation problems ranging from autonomous real-time routing and...

The context in which a moving object moves contributes to the movement pattern observed. Likewise, the movement pattern reflects the properties of the movement context. In particular, big events influence human mobility depending on the dynamics of the events. However, this influence has not been explored to understand big events. In this paper, we propose a methodology for learning about big e...

There has been an increasing trend of performing inference on data collected by smartphones to provide context-aware location-based services. When this inference is performed using supervised analysis, these services need ground truth if high accuracies are desired. While accuracy is less of a concern for services targeted at individuals, it is important when individual data is aggregated for s...

1 2 Transportation planning has been playing a critical role in shaping the economic health and 3 quality of life. It not only provides insight into the mobility of people and goods, but also 4 influences patterns of growth and economic activity. Metropolitan transportation planning is a 5 challenging transportation topic due to the lack of future traffic information, such as evaluation 6 of th...