Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/27864
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wardenlier, N. | - |
dc.contributor.author | KNAPEN, Luk | - |
dc.contributor.author | Koch, T. | - |
dc.contributor.author | Dugundji, E. | - |
dc.date.accessioned | 2019-03-07T10:53:18Z | - |
dc.date.available | 2019-03-07T10:53:18Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Transportation Research Board Annual Meeting Online Program Archive, (Art N° 19-04660). | - |
dc.identifier.uri | http://hdl.handle.net/1942/27864 | - |
dc.description.abstract | Everyday route choices made by bicyclists are known to be more difficult to explain than vehicle routes, yet prediction of these choices is essential for guiding infrastructural investment in safe cycling. In this paper we study how the concept of route complexity can help generate plausible choice sets in the demand modeling process. The complexity of a given path in a graph is the minimum number of shortest paths that is required to specify that path. Complexity is a path attribute which is considered to be important for route choice in a similar way as the number of left turns, the number of speed bumps, distance and other. The complexity was determined for a large set of observed routes and for routes in the generated choice sets for the corresponding origin-destination pairs. The respective distributions seem to significantly differ so that the choice sets do not reflect the traveler preferences. This paper proposes a technique to improve the choice set generation. | - |
dc.language.iso | en | - |
dc.subject.other | Bicycling; Route complexity; Route choice set generation; GPS traces | - |
dc.title | Improving bicycle route choice set generation using route complexity in gps traces | - |
dc.type | Conference Material | - |
local.bibliographicCitation.conferencedate | 13-17 January 2019 | - |
local.bibliographicCitation.conferencename | Transportation Research Board (TRB) 98th Annual Meeting | - |
local.bibliographicCitation.conferenceplace | Washington D.C., USA | - |
local.format.pages | 16 | - |
local.bibliographicCitation.jcat | C2 | - |
local.type.refereed | Non-Refereed | - |
local.type.specified | Conference Material | - |
item.contributor | Wardenlier, N. | - |
item.contributor | KNAPEN, Luk | - |
item.contributor | Koch, T. | - |
item.contributor | Dugundji, E. | - |
item.accessRights | Restricted Access | - |
item.fullcitation | Wardenlier, N.; KNAPEN, Luk; Koch, T. & Dugundji, E. (2019) Improving bicycle route choice set generation using route complexity in gps traces. In: Transportation Research Board Annual Meeting Online Program Archive, (Art N° 19-04660).. | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
19-04660 knapen.pdf Restricted Access | Conference material | 1.45 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.