Detection of anomalies in urban traffic from open data

Research output: Contribution to conferenceOther conference contributionProfessional

Abstract

In order to keep transport flowing in the city, Urban Traffic Management Centres (TMCs) need to have timely knowledge of any traffic disturbances. A wide range of data from vehicles and infrastructure is available, such as floating car data, traffic cameras and loop detectors at traffic lights. The Integrated Urban Mobility pilot from the TransformingTransport EU project demonstrates the potential of automated processing of these big data sources to improve situational awareness and to provide information to travellers. Through artificial intelligence and big data technologies, anomalies can be detected from data, which is often available as open data.
Original languageEnglish
Number of pages9
Publication statusPublished - 3 Jun 2019
MoE publication typeNot Eligible
Event13th ITS European Congress: Fulfilling ITS promises - Brainport Eindhoven, Netherlands
Duration: 3 Jun 20196 Jun 2019
https://2019.itsineurope.com/

Conference

Conference13th ITS European Congress
CountryNetherlands
CityBrainport Eindhoven
Period3/06/196/06/19
Internet address

Fingerprint

Telecommunication traffic
Artificial intelligence
Railroad cars
Cameras
Detectors
Processing
Big data

Cite this

Kilpi, J., Koskinen, S., & Scholliers, J. (2019). Detection of anomalies in urban traffic from open data. 13th ITS European Congress, Brainport Eindhoven, Netherlands.
Kilpi, Jorma ; Koskinen, Sami ; Scholliers, Johan. / Detection of anomalies in urban traffic from open data. 13th ITS European Congress, Brainport Eindhoven, Netherlands.9 p.
@conference{aed50a4c5b9641c591d6e1d55683e6ff,
title = "Detection of anomalies in urban traffic from open data",
abstract = "In order to keep transport flowing in the city, Urban Traffic Management Centres (TMCs) need to have timely knowledge of any traffic disturbances. A wide range of data from vehicles and infrastructure is available, such as floating car data, traffic cameras and loop detectors at traffic lights. The Integrated Urban Mobility pilot from the TransformingTransport EU project demonstrates the potential of automated processing of these big data sources to improve situational awareness and to provide information to travellers. Through artificial intelligence and big data technologies, anomalies can be detected from data, which is often available as open data.",
author = "Jorma Kilpi and Sami Koskinen and Johan Scholliers",
year = "2019",
month = "6",
day = "3",
language = "English",
note = "13th ITS European Congress : Fulfilling ITS promises ; Conference date: 03-06-2019 Through 06-06-2019",
url = "https://2019.itsineurope.com/",

}

Kilpi, J, Koskinen, S & Scholliers, J 2019, 'Detection of anomalies in urban traffic from open data' 13th ITS European Congress, Brainport Eindhoven, Netherlands, 3/06/19 - 6/06/19, .

Detection of anomalies in urban traffic from open data. / Kilpi, Jorma; Koskinen, Sami; Scholliers, Johan.

2019. 13th ITS European Congress, Brainport Eindhoven, Netherlands.

Research output: Contribution to conferenceOther conference contributionProfessional

TY - CONF

T1 - Detection of anomalies in urban traffic from open data

AU - Kilpi, Jorma

AU - Koskinen, Sami

AU - Scholliers, Johan

PY - 2019/6/3

Y1 - 2019/6/3

N2 - In order to keep transport flowing in the city, Urban Traffic Management Centres (TMCs) need to have timely knowledge of any traffic disturbances. A wide range of data from vehicles and infrastructure is available, such as floating car data, traffic cameras and loop detectors at traffic lights. The Integrated Urban Mobility pilot from the TransformingTransport EU project demonstrates the potential of automated processing of these big data sources to improve situational awareness and to provide information to travellers. Through artificial intelligence and big data technologies, anomalies can be detected from data, which is often available as open data.

AB - In order to keep transport flowing in the city, Urban Traffic Management Centres (TMCs) need to have timely knowledge of any traffic disturbances. A wide range of data from vehicles and infrastructure is available, such as floating car data, traffic cameras and loop detectors at traffic lights. The Integrated Urban Mobility pilot from the TransformingTransport EU project demonstrates the potential of automated processing of these big data sources to improve situational awareness and to provide information to travellers. Through artificial intelligence and big data technologies, anomalies can be detected from data, which is often available as open data.

UR - https://transformingtransport.eu/index.php/downloads/presentations

M3 - Other conference contribution

ER -

Kilpi J, Koskinen S, Scholliers J. Detection of anomalies in urban traffic from open data. 2019. 13th ITS European Congress, Brainport Eindhoven, Netherlands.