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Improved Traffic State Estimation by Bayesian Network Data Fusion of V2X and Vehicular Bluetooth Data

Klüber, Kim and Junghans, Marek and Fackeldey, Konstantin and Kaul, Robert (2019) Improved Traffic State Estimation by Bayesian Network Data Fusion of V2X and Vehicular Bluetooth Data. 2019 TRB 98th Annual Meeting, 13.-17. Jan. 2019, Washington, USA.

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Abstract

A recently published probabilistic method for vehicle based traffic state estimation on the basis of fusing two wireless communication based technologies, i.e. Bluetooth and Vehicle-to-X communication data, is analyzed in three different scenarios ranging from academic to realistic. On the one hand there is accurate, but extremely rare V2X speed data and on the other, there is frequent, but inaccurate speed data based on a one unit Bluetooth reader approach. Therefore, this analysis takes into account specific traffic related variables, such as traffic flow and traffic density as well as traffic light control (TLC), which affect the Bluetooth based detection results. The findings are used to improve the method. A Bayesian Network (BN) is developed that merges Bluetooth and V2X based speed detection results to provide an improved speed estimation. The novel BN is compared to the previous one for different V2X penetration ratios using the open source microscopic traffic simulation package SUMO (Simulation of Urban MObility). The results show that the novel method can improve the vehicular speed estimation in the academic as well as in the realistic scenarios.

Item URL in elib:https://elib.dlr.de/120746/
Document Type:Conference or Workshop Item (Poster)
Title:Improved Traffic State Estimation by Bayesian Network Data Fusion of V2X and Vehicular Bluetooth Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Klüber, Kimkimmklueber (at) gmail.comUNSPECIFIED
Junghans, Marekmarek.junghans (at) dlr.deUNSPECIFIED
Fackeldey, Konstantinfackeldey (at) math.tu-berlin.deUNSPECIFIED
Kaul, RobertRobert.Kaul (at) dlr.deUNSPECIFIED
Date:16 January 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:V2X communication, Bluetooth, Bayesian Networks, Data Fusion, Traffic Management, Traffic State Estimation, COLOMBO, Digitaler Knoten 4.0
Event Title:2019 TRB 98th Annual Meeting
Event Location:Washington, USA
Event Type:international Conference
Event Dates:13.-17. Jan. 2019
Organizer:National Academy of Sciences, National Academy of Engineering, National Academy of Medicine
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 - I.MoVe (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Junghans, Marek
Deposited On:20 Mar 2019 13:14
Last Modified:31 Jul 2019 20:18

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