Verkehrsdatenerfassung mittels Floating Car Observer auf zweistreifigen Landstraßen

Kühnel, Carsten

kassel university press, ISBN: 978-3-86219-418-6, 2012, 265 Pages
(Schriftenreihe Verkehr 23)

URN: urn:nbn:de:0002-34193

Zugl.: Kassel, Univ., Diss. 2011

| Price and available forms -->

Content: An effective traffic regulation is based on precise information about traffic parameters and hence the knowledge of traffic state. Drivers, operators and traffic control algorithms are able to reach more reasonable decisions by using substantiated information. Traffic data acquisition in Germany typically uses stationary detected traffic data. While German motorways are well equipped with stationary loop- and infrared detectors, subordinated roads like federal highways and rural roads are only marginally monitored. Despite the usually lower traffic loads the interest in traffic conditions on subordinated roads increases because of the potential of temporal load removal from congested motorways. However, a total coverage of subordinated roads with stationary detection equipment is simply not costefficient. For this reason, the focus of research shifted to the development of traffic parameters provided by vehicles, e.g. Floating Car Data (FCD). Different sources note that the information content of FCD is relatively small because FCD only contain individual vehicle data. Collective traffic parameters such as traffic flow, time or space mean speed respectively and traffic density cannot be obtained. The problem with individual traffic data is that traffic regulation systems usually use collective parameters.

Based on the idea of WARDROP/CHARLESWORTH an increase of information content can be reached by observing opposing traffic with a moving vehicle. The so called Floating Car Observer (FCO) captures FCD and additional information about the traffic state in opposing traffic. Monitoring of opposing traffic increases the efficiency of mobile traffic data collection because individual and collective traffic parameters can be captured simultaneously. For example, a FCO counts vehicles in oncoming traffic, determines collective traffic parameters like traffic flow, traffic density and speed while recording its own FCD. This helps in detecting easily and precisely traffic flow disruptions in opposing traffic as well as in the own driving direction.

The origin Moving Observer Method by Wardrop/Charlesworth has been designed to gain traffic flow information for traffic planning purposes. The MOM counts vehicles in opposing traffic on a two-way-road in a section. Furthermore vehicles that overtake and are overtaken by the probe vehicle are counted too. The mean journey time through the section in both directions has also to be measured. That means that either two vehicles or two runs, one in each direction, are necessary. The vehicle count and the journey time measurement are carried out by four persons in the probe vehicle, preferably one driver and three observers. Because of its extensive procedural method the use of the MOM was never considered to be utilized for operative traffic regulation. Mulligan/Nicholson stated that the requirements for automatic recognition of vehicles in opposing traffic had been too costly. The FCO-approach picks up the idea of the MOM to gain traffic information by using new developments in sensor and communication technologies. In order to simplify the procedural method the given traffic parameter theory must be adjusted. Low cost sensors enable automatic detection of physical parameters of oncoming vehicles, and substitute unnecessary trips as well as heavy manpower.

Research results showed that there is a need of transformation algorithms for operating FCO captured data in established stationary detection based traffic regulation systems.

Publication is available in following forms:

Full text (pdf-file, not printable - 6.80 MB)
view PDF
Full text (pdf-file, printable, with costs - 6.80 MB) 15.00 Euro
(free of charge in kassel University network - you are in kassel University network if you are in the workplace, or you are using a pc in the ITS or in the library)
download PDF - Attention! with costs, because you are not in kassel University network!