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Augmenting the Floating Car Data Approach by Dynamic Indirect Traffic Detection

Ruppe, Sten and Junghans, Marek and Haberjahn, Mathias and Christian, Troppenz (2012) Augmenting the Floating Car Data Approach by Dynamic Indirect Traffic Detection. In: Transport Research Arena 2012 (48), pp. 1525-1534. Transport Research Arena (TRA) 2012, 23.4.2012 - 26.4.2012, Athen, Griechenland. DOI: 10.1016/j.sbspro.2012.06.1128

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Official URL: http://www.sciencedirect.com/science/article/pii/S1877042812028649


An established approach for the mobile determination of traffic parameters is Floating Car Data (FCD) also known as Probe Vehicle Data. Floating cars are equipped with modules for positioning and transmitting the data to a processing unit. There, the data are processed to derive travel times, spatio-temporal traffic information, etc. The advantage of FCD is that there is no costly stationary infrastructure needed. The drawback is that only a fraction of the real traffic can be used as data base for the generation of reliable traffic information. Furthermore, FCD focuses only on road transport, i.e. pedestrians and cyclists are not detected. In this paper a new approach for an efficient and low-cost large-scale traffic monitoring is presented, which augments the FCD principle and enables the detection of vehicles, pedestrians, cyclists and passengers of public transport to achieve spatio-temporal traffic data by a considerably increase of the underlying database. Since all detections are made indirectly by traffic observers while passing other traffic objects, the new approach closes the gap between FCD and the Floating Car Observer (FCO) principle. The novel approach is based on a method for anonymous positioning by indirect detection of traffic objects (cars, cyclists, pedestrians) using radio-based Bluetooth/Wi-Fi technologies. This is advantageous, since many traffic participants use devices with activated Bluetooth/Wi-Fi functionality (e.g., mobile phones, headsets). Example: a car, which is equipped with specific Bluetooth/Wifi-receivers, detects all traffic objects, which are in the detection area, by their Bluetooth/WiFi identification number. This identification number is augmented by the time stamps and positions of the detecting objects. The measured data is processed to trajectories, travel times, traffic states, origin-destination matrices and other traffic parameters.

Item URL in elib:https://elib.dlr.de/77373/
Document Type:Conference or Workshop Item (Speech)
Title:Augmenting the Floating Car Data Approach by Dynamic Indirect Traffic Detection
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ruppe, StenSten.Ruppe (at) dlr.deUNSPECIFIED
Junghans, Marekmarek.junghans (at) dlr.deUNSPECIFIED
Haberjahn, Mathiasmathias.haberjahn (at) dlr.deUNSPECIFIED
Christian, Troppenzchristian.troppenz (at) dlr.deUNSPECIFIED
Date:April 2012
Journal or Publication Title:Transport Research Arena 2012
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1016/j.sbspro.2012.06.1128
Page Range:pp. 1525-1534
Papaioannou, PanosUNSPECIFIED
Series Name:Social and Behavioral Sciences
Keywords:Floating Car Data; Floating Car Observer; Bluetooth; Dynamic Traffic Detection; Traffic and Transportation Management
Event Title:Transport Research Arena (TRA) 2012
Event Location:Athen, Griechenland
Event Type:international Conference
Event Dates:23.4.2012 - 26.4.2012
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Verkehrs- und Mobilitätsmanagement (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Traffic Management
Deposited By: Junghans, Marek
Deposited On:20 Sep 2012 08:15
Last Modified:31 Jul 2019 19:37

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