Open access
Datum
2018-05Typ
- Conference Paper
ETH Bibliographie
yes
Altmetrics
Abstract
We tackle the problem of understanding multimodal passenger flows to better address mobility. In particular, we use large scale, long-term GPS passive tracking of travellers, to improve public transport operations in urban areas. We combine this with realised operation data from a transit operator. We develop an unsupervised tool able to detect passengers’ travel behaviour and the exact public transport means they took, without any assumption on the frequency of GPS data. Furthermore, we show the significant advantage of using past user data to improve the detection algorithm, in particular to identify the points where users transfer. We test this approach in Zurich and refer to the multimodal mobility supply available there. Ultimate goal of this ongoing work is to understand from realised mobility how passengers react to disturbances, especially for working days and peak hours, and to the mitigation action undertaken by operators in case of disturbances, in order to design good and effective mitigation actions. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000264733Publikationsstatus
publishedVerlag
STRCKonferenz
Thema
Tracking; Travel survey; Public transport operations; GPS; Activity identification; Transportation mode detection; Vehicle imputationOrganisationseinheit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
09611 - Corman, Francesco / Corman, Francesco
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Anmerkungen
Conference lecture on May 17, 2018.ETH Bibliographie
yes
Altmetrics