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Real-world Applications for Connected Vehicle Data

Wesemeyer, Daniel and Trumpold, Jan and Ruppe, Sten and Bottazzi, Maximiliano and Bargmann, Maik (2019) Real-world Applications for Connected Vehicle Data. 8th Symposium of the European Association for Research in Transportation (hEART 2019), 4. - 6. Sep. 2019, Budapest, Ungarn.

Full text not available from this repository.

Official URL: http://heart2019.bme.hu/

Abstract

The conventional approach of collecting real world traffic data for management purposes is through stationary detectors, for example magnet field sensors, induction loops, cameras, radar etc. The downside of this detection method is that only momentary information can be obtained and e.g. the behavior of the vehicles approaching an intersection can only be approximated. Vehicle-to-Everything (V2X) communication protocols have a broad variety of applications for traffic management purposes. Through continuous updates, vehicle trajectories can be traced in order to provide optimal routing information for vehicles or to switch traffic lights to green the moment they want to pass an intersection. This paper describes two real-world use-cases for CAM (Cooperative Awareness Message) data provided by connected vehicles (CV) as detector input for traffic management applications. When used in a traffic simulation, detecting vehicles though these messages leads to a more realistic representation of the vehicle's driving behavior. CAMs can be used to place and move CVs inside the simulation of a real-world intersection in Braunschweig with the traffic simulation SUMO (Simulation of Urban Mobility). Furthermore, the paper describes an approach to how these continuously detected vehicles could be further used as control units. Since the positions and speeds of CVs are synchronized with the real-world behavior, they can be used to adjust the simulated upstream movements and positioning of legacy vehicles (LV) to match reality. Until all vehicles are equipped with V2X technology, this approach could enable more realistic simulated traffic flow behavior.

Item URL in elib:https://elib.dlr.de/127993/
Document Type:Conference or Workshop Item (Poster)
Title:Real-world Applications for Connected Vehicle Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Wesemeyer, DanielDaniel.Wesemeyer (at) dlr.deUNSPECIFIED
Trumpold, JanJan.Trumpold (at) dlr.dehttps://orcid.org/0000-0001-6032-0709
Ruppe, StenSten.Ruppe (at) dlr.deUNSPECIFIED
Bottazzi, Maximilianomaximiliano.bottazzi (at) dlr.deUNSPECIFIED
Bargmann, Maikmaik.bargmann (at) dlr.deUNSPECIFIED
Date:2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Adaptive Lichtsignalsteuerung, Automatisierte vernetzte Fahrzeuge, V2X, Verkehrsflusssimulation
Event Title:8th Symposium of the European Association for Research in Transportation (hEART 2019)
Event Location:Budapest, Ungarn
Event Type:international Conference
Event Dates:4. - 6. Sep. 2019
Organizer:Budapest University of Technology and Economics (BME)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - D.MoVe
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems
Deposited By: Wesemeyer, Daniel
Deposited On:19 Jul 2019 13:25
Last Modified:27 Apr 2020 21:33

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