Crowd intelligence for sustainable futuristic intelligent transportation system: a review

R Chandra Shit - Iet intelligent transport systems, 2020 - Wiley Online Library
Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …

Using data mining techniques for bike sharing demand prediction in metropolitan city

VE Sathishkumar, J Park, Y Cho - Computer Communications, 2020 - Elsevier
Currently Rental bikes are introduced in many urban cities for the enhancement of mobility
comfort. It is important to make the rental bike available and accessible to the public at the …

Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon

C Lemonde, E Arsenio, R Henriques - European transport research review, 2021 - Springer
Worldwide cities are establishing efforts to collect urban traffic data from various modes and
sources. Integrating traffic data, together with their situational context, offers more …

Spatio-temporal capsule-based reinforcement learning for mobility-on-demand coordination

S He, KG Shin - IEEE Transactions on Knowledge and Data …, 2020 - ieeexplore.ieee.org
As an alternative means of convenient and smart transportation, mobility-on-demand (MOD),
typified by online ride-sharing and connected taxicabs, has been rapidly growing and …

[HTML][HTML] Demand-aware mobile bike-sharing service using collaborative computing and information fusion in 5G IoT environment

X Yang, Y Xu, Y Zhou, S Song, Y Wu - Digital Communications and …, 2022 - Elsevier
Mobile bike-sharing services have been prevalently used in many cities as an important
urban commuting service and a promising way to build smart cities, especially in the new …

Energy efficient scheduling for serverless systems

M Tsenos, A Peri, V Kalogeraki - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Serverless computing, also referred to as Function-as-a-Service (FaaS), is a cloud
computing model that has attracted significant attention and has been widely adopted in …

On how to incorporate public sources of situational context in descriptive and predictive models of traffic data

S Cerqueira, E Arsenio, R Henriques - European transport research review, 2021 - Springer
Background European cities are placing a larger emphasis on urban data consolidation and
analysis for optimizing public transport in response to changing urban mobility dynamics …

Prediction-driven resource provisioning for serverless container runtimes

D Tomaras, M Tsenos… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In recent years Serverless Computing has emerged as a compelling cloud based model for
the development of a wide range of data-intensive applications. However, rapid container …

Context-aware demand prediction in bike sharing systems: Incorporating spatial, meteorological and calendrical context

C Sardinha, AC Finamore, R Henriques - arXiv preprint arXiv:2105.01125, 2021 - arxiv.org
Bike sharing demand is increasing in large cities worldwide. The proper functioning of bike-
sharing systems is, nevertheless, dependent on a balanced geographical distribution of …

A holistic approach for modeling and predicting bike demand

D Tomaras, I Boutsis, V Kalogeraki - Information Systems, 2023 - Elsevier
Bike-sharing systems have enjoyed tremendous success in many major cities around the
world today as a new means of urban public transportation offering a green and facile …