Klause Bogenberger, Ph.D.
Professor, University of Federal Armed Forces, Munich, Germany
Monday August 5, 2:00 - 3:00 p.m.
ITS Lab (Room 315)
PSU Engineering Building
As we all know, the quality of traffic information is usually defined in terms of quantitative or technical characteristics that relate almost exclusively to the way that the information is broadcast. This ignores the actual content of the traffic messages and how well they do (or don't!) match the real situation experienced by drivers. Accuracy of content however is a decisive factor in customer satisfaction and acceptance. Given these problems, this seminar will present a new method for determining quality criteria, the aim being to assist independent and objective assessment of traffic and traveler information. Three extensive test series were carried out to assess the quality of traffic information reporting. The tests included a study and comparison of both private and public traffic information providers. Two specific indices are defined to describe quality. This process, which is derived from the area of signal detection theory, offers the possibility of continuously measuring the quality with which traffic information is reported and comparing traffic information services objectively.
Prof. Klaus Bogenberger joined the Universität der Bundeswehr (University of Federal Armed Forces) in Munich, Germany in 2012 as Professor of Transport Engineering in the Institute for Transport and Regional Planning. He previously served as Managing Director of TransVer, a significant traffic planning and traffic engineering consulting firm with locations in Munich and Hannover, and spent 7 years at the BMW Group where he worked in the transportation science research group, responsible for traffic engineering and transport models, as well as in the corporate quality group, responsible for the quality of diesel engines, transmissions and navigation systems.
Prof. Bogenberger received his Ph.D. in traffic engineering and transportation planning at the Technical University of Munich, with his thesis "Adaptive Fuzzy Systems for Coordinated Traffic Responsive Ramp Metering." He also spent approximately one year studying at the Institute of Transportation Studies at the University of California at Berkeley.