WISETRIP- International Multimodal Journey Planning and Delivery of Personalized Trip Information (original) (raw)
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A Multi-modal international journey planning system: a case study of WISETRIP
The EU-funded WISETRIP project aims to enhance existing journey planning services by developing a service for planning multi-modal journeys beyond the EU national borders. Previous projects show some relevance to the current-state-of-practice of multi-modal journey planning systems but gaps include varying approaches to market segmentation, data standardization and the incorporation of real-time information. The reported study in this paper looked at the current practice of Journey Planners (JPs) from a number of EU countries as well as China and Japan. The results show that current practice of JPs in Denmark, Germany and the Netherlands are more advanced than other countries.
Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017), 2017
In this research work we describe the framework for a Personalized Trip Planner identify as T2* (Travel to Anywhere) towards a digital concierge in everyone`s pocket by a tailor made aggregation of features and services. The mission is to empower key stakeholders in the travel and tourism industry (Travelers, Concierges, and Service Providers) to develop seamless travel experiences. This work is integrated with the MASAI H2020 project with the goal to serve in all stages of the travel process, including changes in travelers' mobility patterns, associated local travel, long-distance travel, and business as well as to be used for leisure purposes. A personalized travel advice is produced based on the user' profile created based on the user' Facebook information extracted through a semantic approach. The quality of the service provided is measured and high-level service is promoted by an implemented reputation service.
Linking Multimodal Traveller Information Services for Transnational Journey Planning
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There is a huge cross-border travel demand within the EU leading to hundred millions of cross-border trips every year. Notwithstanding the information demand for seamless journey planning and accurate and timely information on public transport, the provided traveller information is often limited in terms of the provided modes and in terms of its geographical coverage. The above mentioned deficiency is tackled by an international consortium of journey planner- and transport operators in the frame of the INTERREG project "LinkingDanube". The goal is the brining information together from several existing regional services in order to enable journey planning that goes beyond the territory covered by the single systems and offers travellers seamless travel information provided in one integrated journey plan. In particular the objective is to develop a system architecture that enables that combination of services, which is addressed as "distributed journey planning" an...
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We present e-Turist, an intelligent system that helps tourists plan a personalised itinerary to a tourist area, taking into account individual’s preferences and limitations. After creating the route, e -Turist also offers real-time GPS guidance and audio description of points of interest visited. Here we focus on two main components, the recommender system and the route planning algorithm. We also present some use cases to highlight e-Turist functionalities in different configurations.
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Travellers require information on individual transport systems when planning a journey. Many transportrich urban environments contain numerous underlying transport infrastructures, offering a traveller various ways to complete the journey. This paper presents the Smart Traveller Information Service, a system designed to offer travellers an easy to use and efficient means of planning journeys in an otherwise complex multi-modal transport environment. The Smart Traveller Information Service bridges the coordination gap between the available transport systems (both public and private), and hides the complexity of the travel planning process from the user. This allows travellers to construct detailed journey plans without concerning themselves with the often heterogeneous and disjoint nature of the available transport facilities.
FanOnTour: A Novel Approach to Travel Advisor Systems
International Journal of Information and Education Technology, 2013
Current Travel advisor applications provide limited common features. There is a need to focus on new support functions for user satisfaction. Such systems must be designed to support surplus learning and users' preferences and constraints. Different choices created in systems' design can induce distinct decision strategies and influence the user's affective state. The goal of this project is to develop a travel advisor system to assist users in their travel arrangements and decision-making. In this paper, we present a novel approach to take into account various factors to provide travel suggestions. These factors are user's point of interest (POI), dislike list, distance, budget, transportation mode, the history of users and list of users' friends. We demonstrate the validity of this approach using a case study and usability testing results.
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Tourists become increasingly dependent on mobile city guides to locate tourist services and retrieve information about nearby points of interest (POIs) when visiting unknown destinations. Although several city guides support the provision of personalized tour recommendations to assist tourists visiting the most interesting attractions, existing tour planners only consider walking tours. Herein, we introduce eCOMPASS, a context-aware mobile application which also considers the option of using public transit for moving around. Far beyond than just providing navigational aid, eCOMPASS incorporates multimodality (i.e. time dependency) within its routing logic aiming at deriving nearoptimal sequencing of POIs along recommended tours so as to best utilize time available for sightseeing and minimize waiting time at transit stops. Further advancing the state of the art, eCOMPASS allows users to define arbitrary start/end locations (e.g. the current location of a mobile user) rather than choosing among a fixed set of locations. This paper describes the routing algorithm which comprises the core functionality of eCOMPASS and discusses the implementation details of the mobile application using the metropolitan area of Berlin (Germany) as case study.
An advanced traveller advisor tool based on individual preferences
This paper presents some theoretical and operative aspects of TVPTA (Tor Vergata Personal Travel Advisor), an Advanced Traveller Advisory Tool (ATAT) under development at the Transport Centre of the “Tor Vergata” University of Rome. It should be able to assist users travelling on multimodal networks, suggesting the best paths according to their personal preferences. Such paths are individuated on the basis of the estimation of a perceived path utility formalised within the Random Utility Theory. The first part of this paper illustrates the user needs, the logical and the functional architecture of TVPTA; it also includes the transit modelling framework to provide personalized pre-trip information and the learning process to capture individual preferences. The second part describes an implementation example of TVPTA concepts in the metropolitan area of Rome (Italy).
Information Management for Travelers: Towards Better Route and Leisure Suggestion
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016
Contemporary travel information services are connected to huge amount of travel related data used for improving personalized suggestions. Such suggestions include finding better routes, access to amusement and educational amenities implemented as digital services, as well as the features for people collaboration, and for planning leisure time with respect to existing attractiveness evaluation algorithms under time-budget constraints. Much effort is required for supporting personalized itineraries construction in such a way which would leverage existing cultural and technological user experience. In this paper we analyze the underlying algorithms and major components being an implementation of the proposed model investigated with particular attention to annotated leisure walk route construction, traveler collaboration and travel meeting management. In sum, we make an effort to address a number of complex issues in the area of developing models, interfaces and algorithms required by modern travel services considered as an essential application of a human-centric computing multidisciplinary paradigm.