Monitoring Travel Behaviour and Service Quality in Transport

Transcription

Monitoring Travel Behaviour and Service Quality in Transport
Veröffentlichung / Publication
Monitoring Travel Behaviour and Service
Quality in Transport Networks with Floating
Phone Data
Autoren / Authors:
Markus Friedrich
Prokop Jehlicka
Thomas Otterstätter
Johannes Schlaich
Lehrstuhl für Verkehrsplanung und Verkehrsleittechnik, Universität Stuttgart
vorname.nachname@isv.uni-stuttgart.de
Veröffentlicht in / Published in:
Friedrich, M., Jehlicka, P., Otterstätter, T., Schlaich, J. (2008): Monitoring Travel
Behaviour and Service Quality in Transport Networks with Floating Phone Data,
Proceedings of 4rd International Symposium Networks for Mobility, Stuttgart.
Universität Stuttgart
Institut für Straßen- und Verkehrswesen
Lehrstuhl für Verkehrsplanung und Verkehrsleittechnik
www.isv.uni-stuttgart.de/isv/
Monitoring Travel Behaviour and Service Quality in
Transport Networks with Floating Phone Data
Prof. Dr.-Ing. Markus Friedrich
Dipl.-Inf. Prokop Jehlicka
Dipl.-Ing. Thomas Otterstätter
Dipl.-Ing., MBA (USQ) Johannes Schlaich
Universität Stuttgart
Department for Transport Planning and Traffic Engineering
Seidenstr. 36
70174 Stuttgart, Germany
The implementation of state-of-the-art traffic control systems requires methods for
detecting the current traffic state. A high quality traffic state recognition is a prerequisite for providing reliable traveller information, for forecasting the future state of the
transport network and, in combination with a model, for evaluating and implementing
control strategies. The primary data sources for traffic state recognition are roadside
detectors (e.g. loop detector, overhead detector) which can measure occupancy
rates, volumes and speeds for one lane of a road. Mobile detectors moving along
with the traffic flow complement the stationary data by delivering time-space trajectories of single travellers. Usually mobile detectors are integrated in the navigation system of cars which broadcast floating car data (FCD) to a control centre. Main disadvantages of FCD are the low rate of equipped vehicles and the still relatively high
communication costs. As an alternative, observation of mobile phones can provide
floating phone data (FPD or Net-FCD) for a large number of travellers in the network.
The research project Do-iT, funded by the German Federal Ministry of Economics
and Technology, aims at exploiting FPD in a pilot area in Southern Germany. The
research project which is scheduled to run until 2009 intends to prove that FPD contribute to the following objectives:
• Provision of traffic state information for motorways and the secondary road network.
• Improving methods for detection and forecast of the traffic state by applying origindestination matrices derived from FPD.
• Continuously monitoring the service quality (travel times) and the travel behaviour
(travel demand, route choice) in the network for planning purposes and for evaluating telematic control strategies.