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Travel time prediction system based on data clustering for waste collection vehicles
In recent years, intelligent transportation system (ITS) techniques have been widely
exploited to enhance the quality of public services. As one of the worldwide leaders in …
exploited to enhance the quality of public services. As one of the worldwide leaders in …
Mobility modeling and data-driven closed-loop prediction in bike-sharing systems
As an innovative mobility strategy, public bike-sharing has grown dramatically worldwide.
Though it provides convenient, low-cost, and environmental-friendly transportation, the …
Though it provides convenient, low-cost, and environmental-friendly transportation, the …
Excess demand prediction for bike sharing systems
One of the most crucial elements for the long-term success of shared transportation systems
(bikes, cars etc.) is their ubiquitous availability. To achieve this, and avoid having stations …
(bikes, cars etc.) is their ubiquitous availability. To achieve this, and avoid having stations …
Spatial positioning token (SPToken) for smart mobility
We introduce a permissioned distributed ledger technology (DLT) design for crowdsourced
smart mobility applications. This architecture is based on a directed acyclic graph …
smart mobility applications. This architecture is based on a directed acyclic graph …
Operations management of shared transport: research status and prospect
X Li, H Zhao, H Ma - Journal of Data, Information and Management, 2023 - Springer
Shared transport is an emerging transportation system where travelers share a vehicle
either simultaneously as a group (eg ride-sharing, ride-sourcing, or customized bus) and …
either simultaneously as a group (eg ride-sharing, ride-sourcing, or customized bus) and …
Receding horizon control for station inventory management in a bike-sharing system
RMA Swaszek, CG Cassandras - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A docking bike-sharing system (BSS) is modeled as a network representing the underlying
transportation network. Mobile agents (replenishment trucks) traverse the network making …
transportation network. Mobile agents (replenishment trucks) traverse the network making …
Assessing micro-mobility services in pandemics for studying the 10-minutes cities concept in India using geospatial data analysis: an application
Active micro-mobility decreases traffic, bolsters personal health, and helps communities
thrive by protecting the environment Moreover, sustainable micro-mobility demand is …
thrive by protecting the environment Moreover, sustainable micro-mobility demand is …
Signalling and obfuscation for congestion control
We aim to reduce the social cost of congestion in many smart city applications. In our model
of congestion, agents interact over limited resources after receiving signals from a central …
of congestion, agents interact over limited resources after receiving signals from a central …
Recovering Markov models from closed-loop data
Situations in which recommender systems are used to augment decision making are
becoming prevalent in many application domains. Almost always, these prediction tools …
becoming prevalent in many application domains. Almost always, these prediction tools …
r-extreme signalling for congestion control
In many 'smart city'applications, congestion arises in part due to the nature of signals
received by individuals from a central authority. In the model of Mareček et al., each agent …
received by individuals from a central authority. In the model of Mareček et al., each agent …