Frontiers in service science: Ride matching for peer-to-peer ride sharing: A review and future directions

A Tafreshian, N Masoud, Y Yin - Service Science, 2020 - pubsonline.informs.org
As a consequence of the sharing economy attaining more popularity, there has been a shift
toward shared-use mobility services in recent years, especially those that encourage users …

Vehicular traffic density forecasting through the eyes of traffic cameras; a spatio-temporal machine learning study

R Ketabi, M Al-Qathrady, B Alipour… - Proceedings of the 9th …, 2019 - dl.acm.org
Forecasting vehicular mobility and density is essential to a wide array of mobile applications,
including VANETs, crowd-sourcing, participatory sensing, network provisioning, and shared …

Spatial-temporal similarity for trajectories with location noise and sporadic sampling

G Li, CC Hung, M Liu, L Pan, WC Peng… - 2021 IEEE 37th …, 2021 - ieeexplore.ieee.org
With the rapid advances and the penetration of the Internet of Things and sensors, a
massive amount of trajectory data, given by discrete locations at certain timestamps, have …

Estimation of the shared mobility demand based on the daily regularity of the urban mobility and the similarity of individual trips

C Veve, N Chiabaut - PloS one, 2020 - journals.plos.org
Even if shared mobility services are encouraged by transportation policies, they remain
underused and inefficient transportation modes because they struggle to find their customer …

An Efficient and Accurate Convolution-Based Similarity Measure for Uncertain Trajectories

G Li, X Deng, J Xu, Y Liu, J Zhang, S Xiong… - … International Journal of …, 2023 - mdpi.com
With the rapid development of localization techniques and the prevalence of mobile devices,
massive amounts of trajectory data have been generated, playing essential roles in areas of …

Snapshot-Optimal Real-Time Ride Sharing

A Hassan, M Wallace, I Moser, DD Harabor - Information, 2024 - mdpi.com
Ridesharing effectively tackles urban mobility challenges by providing a service comparable
to private vehicles while minimising resource usage. Our research primarily concentrates on …

Demand-driven optimization method for microtransit services

C Veve, N Chiabaut - Transportation Research Record, 2022 - journals.sagepub.com
Many shared mobility solutions have been developed over recent decades. In the case of
mobile technological innovations, new solutions that are more flexible to user demands …

Identifying twin travelers using ridesourcing trip data

N Chiabaut, C Veve - Transport Findings, 2019 - hal.science
Résumé Shared mobility services are announced as a game changer in transportation and
a promising solution to reduce congestion and improve performance of urban mobility …

DLCSS: Dynamic Longest Common Subsequences

D Bogdoll, J Rauch, JM Zöllner - … International Conference on …, 2022 - ieeexplore.ieee.org
Autonomous driving is a key technology towards a brighter, more sustainable future. To
enable such a future, it is necessary to utilize autonomous vehicles in shared mobility …

Détection de zones spatio-temporelles à fort potentiel, pour contribuer à la mise en place de services de mobilité partagée et de microtransit

CJ Veve - 2021 - theses.hal.science
L'utilisation massive des véhicules personnels pour les trajets urbains, a engendré ces
dernières années des difficultés qui paraissent aujourd'hui difficiles à surmonter …