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Using real-time road traffic data to evaluate congestion

Authors:

Andrei Iu. Bejan,

Alastair R. Beresford,

Richard J. Gibbens,

Ken MoodyAuthors Info & Claims

Dependable and Historic Computing: essays dedicated to Brian Randell on the occasion of his 75th birthday

January 2011

Pages 93 - 117

Published: 01 January 2011 Publication History

Abstract

Providing citizens with accurate information on traffic conditions can encourage journeys at times of low congestion, and uptake of public transport. The TIME project (Transport Information Monitoring Environment) has focussed on urban traffic, using the city of Cambridge as an example. We have investigated sensor and network technology for gathering traffic data, and have designed and built reusable software components to distribute, process and store sensor data in real time. Instrumenting a city to provide this information is expensive and potentially invades privacy. Increasingly, public transport vehicles are equipped with sensors to provide arrival time estimates at bus stop displays in real-time. We have shown that these data can be used for a number of purposes. Firstly, archived data can be analysed statistically to understand the behaviour of traffic under a range of "normal" conditions at different times, for example in and out of school term. Secondly, periods of extreme congestion resulting from known incidents can be analysed to show the behaviour of traffic over time. Thirdly, with such analyses providing background information, real-time data can be interpreted in context to provide more reliable and accurate information to citizens. In this paper we present some of the findings of the TIME project.

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Cited By

Ying GYiwen NWei YHongli XLiusheng H(2018)Anomalous Trajectory Detection Between Regions of Interest Based on ANPR SystemComputational Science – ICCS 201810.1007/978-3-319-93701-4_50(631-643)Online publication date: 11-Jun-2018
https://dl.acm.org/doi/10.1007/978-3-319-93701-4_50
Siyuan Liu Yisong Yue Krishnan R(2015)Non-Myopic Adaptive Route Planning in Uncertain Congestion EnvironmentsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2015.241127827:9(2438-2451)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1109/TKDE.2015.2411278
Lam HBouillet EHuang YSchneider MGertz MKrumm JSankaranarayanan J(2014)Online event clustering in temporal dimensionProceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2666310.2666393(321-330)Online publication date: 4-Nov-2014
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Published In

cover image Guide books

Dependable and Historic Computing: essays dedicated to Brian Randell on the occasion of his 75th birthday

January 2011

522 pages

ISBN:9783642245404

Editors:
Cliff B. Jones
School of Computing Science, Newcaslte University, NE1 7RU, UK
,
John L. Lloyd
School of Computing Science, Newcastle University, Newcastle upon Tyne, UK

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 January 2011

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Cited By

Ying GYiwen NWei YHongli XLiusheng H(2018)Anomalous Trajectory Detection Between Regions of Interest Based on ANPR SystemComputational Science – ICCS 201810.1007/978-3-319-93701-4_50(631-643)Online publication date: 11-Jun-2018
https://dl.acm.org/doi/10.1007/978-3-319-93701-4_50
Siyuan Liu Yisong Yue Krishnan R(2015)Non-Myopic Adaptive Route Planning in Uncertain Congestion EnvironmentsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2015.241127827:9(2438-2451)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1109/TKDE.2015.2411278
Lam HBouillet EHuang YSchneider MGertz MKrumm JSankaranarayanan J(2014)Online event clustering in temporal dimensionProceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2666310.2666393(321-330)Online publication date: 4-Nov-2014
https://dl.acm.org/doi/10.1145/2666310.2666393
Artikis AGal AKalogeraki VWeidlich M(2014)Event Recognition Challenges and TechniquesACM Transactions on Internet Technology10.1145/263222014:1(1-9)Online publication date: 7-Aug-2014
https://dl.acm.org/doi/10.1145/2632220
Singh JBacon JEyers DBellur UKothari R(2014)Policy enforcement within emerging distributed, event-based systemsProceedings of the 8th ACM International Conference on Distributed Event-Based Systems10.1145/2611286.2611310(246-255)Online publication date: 26-May-2014
https://dl.acm.org/doi/10.1145/2611286.2611310
Liu SYue YKrishnan RGrossman RUthurusamy RDhillon IKoren Y(2013)Adaptive collective routing using gaussian process dynamic congestion modelsProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2487575.2487598(704-712)Online publication date: 11-Aug-2013
https://dl.acm.org/doi/10.1145/2487575.2487598

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