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Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates

Authors:

Elizabeth Daly,

Michele Berlingerio,

Francois SchnitzlerAuthors Info & Claims

RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems

Pages 253 - 256

https://doi.org/10.1145/2792838.2799673

Published: 16 September 2015 Publication History

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Abstract

Real-time traffic awareness applications are playing an ever increasing role understanding and tackling traffic congestion in cities. First-hand accounts from drivers witnessing an incident is an invaluable source of information for traffic managers. Nowadays, drivers increasingly contact control rooms through social media to report on journey times, accidents or road weather conditions. These new interactions allow traffic controllers to engage users, and in particular to query them for information rather than passively collecting it. Querying participants presents the challenge of which users to probe for updates about a specific situation. In order to maximise the probability of a user responding and the accuracy of the information, we propose a strategy which takes into account the engagement levels of the user, the mobility profile and the reputation of the user. We provide an analysis of a real-world user corpus of Twitter users contributing updates to LiveDrive, a Dublin based traffic radio station.

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Cited By

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Rui ZZhang K(2023)Wavelet Neuron Network for Short-Term Mixed Traffic Flow Prediction2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)10.1109/AEECA59734.2023.00138(753-757)Online publication date: 18-Aug-2023
https://doi.org/10.1109/AEECA59734.2023.00138
Dugan CBrusilovsky PDaly EO'Donovan JPapadopoulos GKuflik TChen FDuarte CFu W(2017)AWARECompanion Proceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3030024.3030026(1-3)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3030024.3030026
Boutsis IKalogeraki VGuno D(2016)Reliable crowdsourced event detection in smartcities2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC)10.1109/SCOPE.2016.7515060(1-6)Online publication date: 11-Apr-2016
https://doi.org/10.1109/SCOPE.2016.7515060

Index Terms

Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates
1. Information systems
  1. Information systems applications

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Published In

RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems

September 2015

414 pages

ISBN:9781450336925

DOI:10.1145/2792838

General Chairs:
Hannes Werthner
TU Wien, Austria
,
Markus Zanker
Alpen-Adria-Universität Klagenfurt, Austria
,
Program Chairs:
Jennifer Golbeck
University of Maryland, USA
,
Giovanni Semeraro
University of Bari Aldo Moro, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 16 September 2015

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EU FP7 INSIGHT

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RecSys '15

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SIGCHI

RecSys '15: Ninth ACM Conference on Recommender Systems

September 16 - 20, 2015

Vienna, Austria

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RecSys '15 Paper Acceptance Rate 28 of 131 submissions, 21%;

Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Rui ZZhang K(2023)Wavelet Neuron Network for Short-Term Mixed Traffic Flow Prediction2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)10.1109/AEECA59734.2023.00138(753-757)Online publication date: 18-Aug-2023
https://doi.org/10.1109/AEECA59734.2023.00138
Dugan CBrusilovsky PDaly EO'Donovan JPapadopoulos GKuflik TChen FDuarte CFu W(2017)AWARECompanion Proceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3030024.3030026(1-3)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3030024.3030026
Boutsis IKalogeraki VGuno D(2016)Reliable crowdsourced event detection in smartcities2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC)10.1109/SCOPE.2016.7515060(1-6)Online publication date: 11-Apr-2016
https://doi.org/10.1109/SCOPE.2016.7515060

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Recommendations

Listen! there are other road users close to you: improve the traffic awareness of truck drivers

A Full Driving Simulator of Urban Traffic including Traffic Accidents

An evaluation of freeway lane control signing using computer simulation

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