Towards mobility data science (vision paper)

M Mokbel, M Sakr, L Xiong, A Züfle, J Almeida… - arXiv preprint arXiv …, 2023 - arxiv.org
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

Smart mobility: a systematic literature review of mobility assistants to support multi-modal transportation situations in smart cities

NP Rocha, A Dias, G Santinha, M Rodrigues… - Integrated Science in …, 2021 - Springer
The study reported by this article aimed to identify mobility assistants designed to support
transit situation in multi-modal transportation networks using smart cities' infrastructures …

Rental prediction in bicycle-sharing system using recurrent neural network

EHC Lu, ZQ Lin - IEEE Access, 2020 - ieeexplore.ieee.org
As the rapid development of smart city and Internet of Things (IoT), related research issues
have attracted much attention from industry and academia around the world, and Bicycle …

LEARNING INCENTIVIZATION STRATEGY FOR RESOURCE REBALANCING IN SHARED SERVICES WITH A BUDGET CONSTRAINT.

SS HO, M Schofield, N Wang - Journal of Applied & …, 2021 - search.ebscohost.com
In this paper, we describe the problem of learning an optimal incentivization strategy that
maximizes the service level given a fixed budget constraint for a sharing service such as …

Greenroute: a generalizable fuel-saving vehicular navigation service

Y Zhao, S Yao, D Liu, H Shao… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper presents GreenRoute, a fuel-saving vehicular navigation system whose
contribution is motivated by one of the key challenges in the design of autonomic services …

Mobility Data Science: Perspectives and Challenges

M Mokbel, M Sakr, L Xiong, A Züfle, J Almeida… - ACM Transactions on …, 2024 - dl.acm.org
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

On Urban Data Analytics and Applications in the Big Data Era

D Tomaras - 2024 25th IEEE International Conference on …, 2024 - ieeexplore.ieee.org
The proliferation of smart technologies has provided significant advances in the way people
receive information and interact in smart cities. For instance, smart traffic monitoring systems …

mart Mobility: A Systematic Literature Review of Mobility Assistants to Support Multi-modal Transportation Situations in Smart Cities

M Rodrigues, A Queirós… - Integrated Science in …, 2020 - books.google.com
The study reported by this article aimed to identify mobility assistants designed to support
transit situation in multi-modal transportation networks using smart cities' infrastructures …

[PDF][PDF] Mobility Assistants to Support Multi-modal ROUTES in Smart Cities: a scoping review

N Rocha, G Santinha, M Rodrigues, C Rodrigues… - J. Digit. Sci, 2021 - academia.edu
Objectives-This study aimed to identify:(i) the current research trends related to mobility
assistants to support multi-modal routes in smart cities;(ii) the types of smart cities' data …

Green planning of IoT smart environments

S Constantinou - 2021 22nd IEEE International Conference on …, 2021 - ieeexplore.ieee.org
The advancement of renewable energy infrastructure in smart buildings (such as
photovoltaic) has highlighted the importance of self-consumption, which is the act of using …