Personalised Electronic Tourist Guides (PETs) are mobile hand-held devices able to create tourist routes matching tourists' preferences. Transportation information has been identified as one of the most appreciated functionalities of a PET. We model the tourist planning problem, integrating public transportation, as the Time-Dependent Team Orienteering Problem with Time Windows (TD-TOPTW) in order to allow PETs to create personalised tourist routes in real-time. We develop and compare two different approaches to solve the TD-TOPTW. Experimental results for the city of San Sebastian show that both approaches are able to obtain routes in real-time.status: publishe
This research work aims to investigate the several variants of trip planning problems and develop ef...
In this article, we describe the development of atransit trip planner(TTP) for mobile devicescalled ...
Planning a tourist trip in a foreign city can be a complex undertaking: when selecting the attractio...
When tourists are at a destination, they typically search for information in the Local Tourist Organ...
The Time Dependent Team Orienteering Problem with Time Windows (TDTOPTW) can be used to model severa...
Generating personalized tourist routes based on a tourist’s interests and constraints is an upcoming...
Mobile tourist guides evolve towards automated personalized tour planning devices. The contribution ...
The Time Dependent Orienteering Problem with Time Windows (TDOPTW) consists of a set of locations wi...
The Time Dependent Orienteering Problem with Time Windows (TDOPTW) consists of a set of locations wi...
The Time-Dependent Orienteering Problem with Time Windows (TDOPTW) is a combinatorial optimization p...
The Time-Dependent Orienteering Problem with Time Windows (TDOPTW) is a combinatorial optimization p...
The COVID-19 pandemic and the strict anti-epidemic measures introduced by various countries have acc...
Tourists become increasingly dependent on mobile city guides to locate tourist services and retrieve...
This paper outlines an information system for tourists using collective public transport based on mo...
This is a summary of the author's Ph.D. thesis supervised by Dirk Van Oudheusden and Willy Herroelen...
This research work aims to investigate the several variants of trip planning problems and develop ef...
In this article, we describe the development of atransit trip planner(TTP) for mobile devicescalled ...
Planning a tourist trip in a foreign city can be a complex undertaking: when selecting the attractio...
When tourists are at a destination, they typically search for information in the Local Tourist Organ...
The Time Dependent Team Orienteering Problem with Time Windows (TDTOPTW) can be used to model severa...
Generating personalized tourist routes based on a tourist’s interests and constraints is an upcoming...
Mobile tourist guides evolve towards automated personalized tour planning devices. The contribution ...
The Time Dependent Orienteering Problem with Time Windows (TDOPTW) consists of a set of locations wi...
The Time Dependent Orienteering Problem with Time Windows (TDOPTW) consists of a set of locations wi...
The Time-Dependent Orienteering Problem with Time Windows (TDOPTW) is a combinatorial optimization p...
The Time-Dependent Orienteering Problem with Time Windows (TDOPTW) is a combinatorial optimization p...
The COVID-19 pandemic and the strict anti-epidemic measures introduced by various countries have acc...
Tourists become increasingly dependent on mobile city guides to locate tourist services and retrieve...
This paper outlines an information system for tourists using collective public transport based on mo...
This is a summary of the author's Ph.D. thesis supervised by Dirk Van Oudheusden and Willy Herroelen...
This research work aims to investigate the several variants of trip planning problems and develop ef...
In this article, we describe the development of atransit trip planner(TTP) for mobile devicescalled ...
Planning a tourist trip in a foreign city can be a complex undertaking: when selecting the attractio...