Latest revision as of 20:14, 1 February 2021

Abstract

Date of Conference: 29 May-1 June 2017 Conference name: 18th IEEE International Conference on Mobile Data Management (MDM), 2017 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. © 2017 IEEE.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1109/mdm.2017.26

• http://hdl.handle.net/11693/37614

• http://repository.bilkent.edu.tr/bitstream/11693/37614/1/Understanding%20and%20predicting%20trends%20in%20urban%20freight%20transport.pdf

• http://wrap.warwick.ac.uk/92820/1/WRAP-understanding-predicting-trends-freight-Ferhatosmanoglu-2017.pdf

• http://xplorestaging.ieee.org/ielx7/7960738/7962417/07962444.pdf?arnumber=7962444,

http://dx.doi.org/10.1109/mdm.2017.26

• https://dblp.uni-trier.de/db/conf/mdm/mdm2017.html#MrazovicELFM17,

https://ieeexplore.ieee.org/document/7962444,

http://www.diva-portal.org/smash/record.jsf?pid=diva2:1135175,

https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_2561943,

http://wrap.warwick.ac.uk/92820,

http://ieeexplore.ieee.org/document/7962444,

https://academic.microsoft.com/#/detail/2729690970