Recently there has been renewed interest in alternative modelling approaches, driven by recognised deficiencies in the traditional four step model. One stream of development has come through improved modelling of individual and household travel scheduling and joint decision making, under the umbrella of tour-based and activity-based modelling. Another stream of development has been improved app...

We present the Trip-MAML dataset, a Multi-Lingual dataset of hotel reviews that have been manually annotated at the sentence-level with Multi-Aspect sentiment labels. This dataset has been built as an extension of an existent English-only dataset, adding documents written in Italian and Spanish. We detail the dataset construction process, covering the data gathering, selection, and annotation. ...

In multi-element deposits, different blocks are blended together to create a product with a predetermined quality. Generally, blending aims to obtain a special quality and quantity based on determining the processing plant or customer needs. However, blending causes different products based on the deposit properties. Thus, a block is blended with others to create one of many possible products. ...

In recent years, mobile phones and access points to free Wi-Fi services have been enhanced, which has made it easier for travellers to share their stories, pictures, and video clips online during a trip. At the same time, online travel review (OTR) websites have grown significantly, allowing users to post their travel experiences, opinions, comments, and ratings in a structured way. Moreover, I...

We analyze the work of urban trip planners and the relevance of trips they recommend upon user queries. We propose to improve the planner recommendations by learning from choices made by travelers who use the transportation network on the daily basis. We analyze individual travelers’ trips and convert them into pair-wise preferences for traveling from a given origin to a destination at a given ...

This paper describes the winning solution to the Taxi Trip Time Prediction Challenge run by Kaggle.com. The goal of the competition was to build a predictive framework that is able to predict the final destination and the total traveling time of taxi rides based on their (initial) partial trajectories. The available data consists of all taxi trips of 442 taxis running in the city of Porto withi...

In this article, we describe the development of a transit trip planner (TTP) for mobile devices called Transitr, and evaluate its performance. The system predicts the shortest paths between any two points in the transit network using real-time information provided by a third party bus arrival prediction system, relying on GPS equipped transit vehicles. Users submit their origin and destination ...

In the near future... Imagine a businessman preparing for a trip to some western metropolis to meet a customer. As usually, he organizes his trip via the World Wide Web checking how to get to his destination, finding reasonable accommodation and investigating things to do in his free time. To keep himself occupied during his journey, he might listen to his music collection while surfing the mob...

BACKGROUND Traffic congestion is rapidly becoming the most important obstacle to urban development. In addition, traffic creates major health, environmental, and economical problems. Nonetheless, automobiles are crucial for the functions of the modern society. Most proposals for sustainable traffic solutions face major political opposition, economical consequences, or technical problems. METH...

Continuous climb, cruise and decent operations (referred as continuous operations) may contribute to significantly reduce fuel and emissions. Nevertheless, it is obvious that the introduction of such procedures at large scale is not possible with the current air traffic management concept of operations, since flying at constant altitudes is one of the key aspects to strategically separate flows...