A survey of models and algorithms for optimizing shared mobility

Abstract : The rise of research into shared mobility systems reflects emerging challenges, such as rising traffic congestion , rising oil prices and rising environmental concern. The operations research community has turned towards more sharable and sustainable systems of transportation. Shared mobility systems can be collapsed into two main streams: those where people share rides and those where parcel transportation and people transportation are combined. This survey sets out to review recent research in this area, including different optimization approaches, and to provide guidelines and promising directions for future research. It makes a distinction between prearranged and real-time problem settings and their methods of solution, and also gives an overview of real-case applications relevant to the research area.
Document type :
Journal articles
Complete list of metadatas

Cited literature [68 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02014342
Contributor : Abood Mourad <>
Submitted on : Monday, February 11, 2019 - 3:30:51 PM
Last modification on : Friday, June 7, 2019 - 11:48:57 AM
Long-term archiving on : Sunday, May 12, 2019 - 2:44:02 PM

File

TRB_2018_437 - Mourad et al. 2...
Files produced by the author(s)

Identifiers

Citation

Abood Mourad, Jakob Puchinger, Chengbin Chu. A survey of models and algorithms for optimizing shared mobility. Transportation Research Part B: Methodological, Elsevier, 2019, Volume 123 (123), pp.323-346. ⟨10.1016/j.trb.2019.02.003⟩. ⟨hal-02014342⟩

Share

Metrics

Record views

212

Files downloads

455