The Library
Understanding and predicting trends in urban freight transport
Tools
Tools
Tools
Mrazovic, Petar, Eravci, Bahaeddin, Larriba-Pey, Josep Lluis, Ferhatosmanoglu, Hakan and Matskin, Mihhail (2017) Understanding and predicting trends in urban freight transport. In: 01718th IEEE International Conference on Mobile Data Management (MDM), Daejeon, South Korea, 29 May-1 Jun 2017. Published in: 2017 18th IEEE International Conference on Mobile Data Management (MDM), pp. 124-133. ISBN 9781538639337. doi:10.1109/MDM.2017.26
|
PDF
WRAP-understanding-predicting-trends-freight-Ferhatosmanoglu-2017.pdf - Accepted Version - Requires a PDF viewer. Download (2149Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/MDM.2017.26
Abstract
Among different components of urban mobility, urban freight transport is usually considered as the least sustainable. Limited traffic infrastructures and increasing demands in dense urban regions lead to frequent delivery runs with smaller freight vehicles. This increases the traffic in urban areas and has negative impacts upon the quality of life in urban populations. Data driven optimizations are essential to better utilize existing urban transport infrastructures and to reduce the negative effects of freight deliveries for the cities. However, there is limited work and data driven research on urban delivery areas and freight transportation networks. In this paper, we collect and analyse data on urban freight deliveries and parking areas towards an optimized urban freight transportation system. Using a new check-in based mobile parking system for freight vehicles, we aim to understand and optimize freight distribution processes. We explore the relationship between areas' availability patterns and underlying traffic behaviour in order to understand the trends in urban freight transport. By applying the detected patterns we predict the availabilities of loading/unloading areas, and thus open up new possibilities for delivery route planning and better managing of freight transport infrastructures.
| Item Type: | Conference Item (Paper) | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | H Social Sciences > HE Transportation and Communications | ||||||
| Divisions: | Faculty of Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Freight and freightage -- Mathematical models, Urban transportation | ||||||
| Journal or Publication Title: | 2017 18th IEEE International Conference on Mobile Data Management (MDM), | ||||||
| Publisher: | IEEE | ||||||
| ISBN: | 9781538639337 | ||||||
| Book Title: | 2017 18th IEEE International Conference on Mobile Data Management (MDM) | ||||||
| Official Date: | 3 July 2017 | ||||||
| Dates: |
|
||||||
| Date of first compliant deposit: | 29 September 2017 | ||||||
| Page Range: | pp. 124-133 | ||||||
| DOI: | 10.1109/MDM.2017.26 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | 01718th IEEE International Conference on Mobile Data Management (MDM) | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Daejeon, South Korea | ||||||
| Date(s) of Event: | 29 May-1 Jun 2017 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
