Authors:
Felix Schwinger
1
;
Fabian Ohler
1
and
Karl-Heinz Krempels
2
Affiliations:
1
Fraunhofer Institute for Applied Information Technology FIT, Germany
;
2
Fraunhofer Institute for Applied Information Technology FIT, Information Systems and RWTH Aachen University, Germany
Keyword(s):
Agenda Planning, Information System, Intelligent Agent, Mobility Planning, Operations Research, Optimization Problem, Orienteering Problem, Public Transportation, Travel Planning.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Planning a mobility-oriented agenda is a time-consuming and tedious task for many travelers. A person is required to collect information from different sources such as a map service, a business register, a calendar and a journey planner. However, she is mostly not interested in either planning the agenda or the journeys between different locations of the agenda; but is more interested in completing the tasks of the agenda. Therefore, we propose an intelligent agenda planning agent that aims to support people with this task. We integrate public transit schedules with additional spatial information from OpenStreetMap to create an information database for the agent. The agent can then plan tasks and appointments and the mobility between those items. First brief evaluations with a survey have shown, that the algorithm finds shorter agendas than most manually found agendas. However, participants of the survey criticized the temporal placement of tasks in the agenda.