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A Comparison of Methods for Detecting atypical Trajectories

Saul, Hagen and Kozempel, Karsten and Haberjahn, Mathias (2014) A Comparison of Methods for Detecting atypical Trajectories. In: Urban Transport XX, 138, pp. 393-403. WITPress. 20th International Conference on Urban Transport and the Environment, 28.-30. Mai 2014, Portugal. ISBN 978-1-84564-778-0. ISSN 1746-4498.

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The detection of atypical trajectories and events in road traffic is a challenging task for the implementation of an intelligent transportation system. It also provides information for optimizing the traffic flow and mitigating risks of accidents without the need to observe individual traffic participants. For detecting such events two methods representing the state of the art are compared: A map-based trajectory analyzer and a neural network, the Self Organizing Map—both applicable with unsupervised learning. The two compared algorithms detect atypical trajectories by modeling the probability function of trajectory features representing the object state at every trajectory point containing location, speed and acceleration values. The map-based approach was extended and improved by pre-clustering the trajectories with regard to their relation (e.g. vehicle turning left/going straight ahead). The Self Organizing Map algorithm uses vector quantization and prototyping of feature vectors and, thus, does not need any preliminary work. Both methods are evaluated by experiments using the same data which allows strengths and weaknesses to be revealed. The data base for evaluation consists of trajectories from traffic surveillance cameras at an intersection and simulated trajectories.

Item URL in elib:https://elib.dlr.de/89352/
Document Type:Conference or Workshop Item (Speech)
Title:A Comparison of Methods for Detecting atypical Trajectories
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Date:28 May 2014
Journal or Publication Title:Urban Transport XX
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 393-403
EditorsEmailEditor's ORCID iD
Brebbia, C.A.Wessex Institute of TechnologyUNSPECIFIED
Series Name:WIT Transactions on the Built Environment
Keywords:atypical, trajectory, behavior, probability density maps, self organizing map, threshold, pre-clustering, surveillance, automatic, unsupervised
Event Title:20th International Conference on Urban Transport and the Environment
Event Location:Portugal
Event Type:international Conference
Event Dates:28.-30. Mai 2014
Organizer:Wessex Institute of Technology
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 - Projekt Verkehrs- und Mobilitätsmanagement (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Verkehrsdatenerfassung
Deposited By: Saul, Hagen
Deposited On:10 Jun 2014 14:59
Last Modified:23 Feb 2019 00:21

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