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dc.contributor.authorOtt, Thomas-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.date.accessioned2018-02-08T10:29:35Z-
dc.date.available2018-02-08T10:29:35Z-
dc.date.issued2017-06-05-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/2696-
dc.description.abstractTraffic forecasts are critical for effective road traffic management. Driven by growing needs and the availability of more and new data and technology, traffic forecasting methods have become a vivid research field in the last couple of years (e.g. [1,2]). However, almost no attention has been paid so far to the effect of forecasting information on the traffic situation. From the perspective of traffic management, the desired effect often corresponds to a self-defeating prophecy; in the case of a predicted congestion, the goal of forecasting-based traffic management is to prevent or mitigate the predicted situation. In practice, the dynamics of this nonlinear feedback effect is hardly comprehended in traffic management. In our contribution, we elucidate the issue using the example of the South-to-North transit route in Switzerland and we derive reduced generic models of self-defeating traffic forecasting. They may provide a first step toward improved decision-making for traffic management, taking into account the repercussions of traffic recommendation on the system under consideration.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectModelingde_CH
dc.subjectTrafficde_CH
dc.subject.ddc303: Soziale Prozessede_CH
dc.subject.ddc380: Verkehrde_CH
dc.titleThe future's back : first generic models of self-defeating road traffic forecastingde_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.conference.detailsNDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.webfeedBio-Inspired Methods & Neuromorphic Computingde_CH
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Ott, T., & Füchslin, R. M. (2017, June 5). The future’s back : first generic models of self-defeating road traffic forecasting. NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017.
Ott, T. and Füchslin, R.M. (2017) ‘The future’s back : first generic models of self-defeating road traffic forecasting’, in NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017.
T. Ott and R. M. Füchslin, “The future’s back : first generic models of self-defeating road traffic forecasting,” in NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017, Jun. 2017.
OTT, Thomas und Rudolf Marcel FÜCHSLIN, 2017. The future’s back : first generic models of self-defeating road traffic forecasting. In: NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017. Conference presentation. 5 Juni 2017
Ott, Thomas, and Rudolf Marcel Füchslin. 2017. “The Future’s Back : First Generic Models of Self-Defeating Road Traffic Forecasting.” Conference presentation. In NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017.
Ott, Thomas, and Rudolf Marcel Füchslin. “The Future’s Back : First Generic Models of Self-Defeating Road Traffic Forecasting.” NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017, 2017.


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