A sensor network architecture for urban traffic state estimation with mixed eulerian/lagrangian sensing based on distributed computing

Handle URI:
http://hdl.handle.net/10754/564873
Title:
A sensor network architecture for urban traffic state estimation with mixed eulerian/lagrangian sensing based on distributed computing
Authors:
Canepa, Edward S. ( 0000-0002-5779-2059 ) ; Odat, Enas M.; Dehwah, Ahmad H.; Mousa, Mustafa ( 0000-0001-9355-1343 ) ; Jiang, Jiming; Claudel, Christian G. ( 0000-0003-0702-6548 )
Abstract:
This article describes a new approach to urban traffic flow sensing using decentralized traffic state estimation. Traffic sensor data is generated both by fixed traffic flow sensor nodes and by probe vehicles equipped with a short range transceiver. The data generated by these sensors is sent to a local coordinator node, that poses the problem of estimating the local state of traffic as a mixed integer linear program (MILP). The resulting optimization program is then solved by the nodes in a distributed manner, using branch-and-bound methods. An optimal amount of noise is then added to the maps before dissemination to a central database. Unlike existing probe-based traffic monitoring systems, this system does not transmit user generated location tracks nor any user presence information to a centralized server, effectively preventing privacy attacks. A simulation of the system performance on computer-generated traffic data shows that the system can be implemented with currently available technology. © 2014 Springer International Publishing Switzerland.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Computer Science Program; Distributed Sensing Systems Laboratory (DSS)
Publisher:
Springer Nature
Journal:
Architecture of Computing Systems – ARCS 2014
Conference/Event name:
27th International Conference on Architecture of Computing Systems, ARCS 2014
Issue Date:
1-Jan-2014
DOI:
10.1007/978-3-319-04891-8_13
Type:
Conference Paper
ISSN:
03029743
ISBN:
9783319048901
Appears in Collections:
Conference Papers; Computer Science Program; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorCanepa, Edward S.en
dc.contributor.authorOdat, Enas M.en
dc.contributor.authorDehwah, Ahmad H.en
dc.contributor.authorMousa, Mustafaen
dc.contributor.authorJiang, Jimingen
dc.contributor.authorClaudel, Christian G.en
dc.date.accessioned2015-08-04T07:23:44Zen
dc.date.available2015-08-04T07:23:44Zen
dc.date.issued2014-01-01en
dc.identifier.isbn9783319048901en
dc.identifier.issn03029743en
dc.identifier.doi10.1007/978-3-319-04891-8_13en
dc.identifier.urihttp://hdl.handle.net/10754/564873en
dc.description.abstractThis article describes a new approach to urban traffic flow sensing using decentralized traffic state estimation. Traffic sensor data is generated both by fixed traffic flow sensor nodes and by probe vehicles equipped with a short range transceiver. The data generated by these sensors is sent to a local coordinator node, that poses the problem of estimating the local state of traffic as a mixed integer linear program (MILP). The resulting optimization program is then solved by the nodes in a distributed manner, using branch-and-bound methods. An optimal amount of noise is then added to the maps before dissemination to a central database. Unlike existing probe-based traffic monitoring systems, this system does not transmit user generated location tracks nor any user presence information to a centralized server, effectively preventing privacy attacks. A simulation of the system performance on computer-generated traffic data shows that the system can be implemented with currently available technology. © 2014 Springer International Publishing Switzerland.en
dc.publisherSpringer Natureen
dc.titleA sensor network architecture for urban traffic state estimation with mixed eulerian/lagrangian sensing based on distributed computingen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer Science Programen
dc.contributor.departmentDistributed Sensing Systems Laboratory (DSS)en
dc.identifier.journalArchitecture of Computing Systems – ARCS 2014en
dc.conference.date25 February 2014 through 28 February 2014en
dc.conference.name27th International Conference on Architecture of Computing Systems, ARCS 2014en
dc.conference.locationLuebecken
kaust.authorOdat, Enas M.en
kaust.authorDehwah, Ahmad H.en
kaust.authorJiang, Jimingen
kaust.authorClaudel, Christian G.en
kaust.authorCanepa, Edward S.en
kaust.authorMousa, Mustafaen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.