A survey of traffic prediction: from spatio-temporal data to intelligent transportation
H Yuan, G Li - Data Science and Engineering, 2021 - Springer
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …
efficient. With the development of mobile Internet and position technologies, it is reasonable …
A survey on trajectory data management, analytics, and learning
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …
in the availability and collection of urban trajectory data, thus increasing the demand for …
Data-driven planning of electric vehicle charging infrastructure: A case study of Sydney, Australia
With the increase of vehicle travelling range and the decrease of vehicle expense, Electric
Vehicles (EVs) are gaining popularity as a new transport option which offers a great …
Vehicles (EVs) are gaining popularity as a new transport option which offers a great …
[HTML][HTML] The spatial planning of public electric vehicle charging infrastructure in a high-density city using a contextualised location-allocation model
The optimal deployment of public charging infrastructure is critical to the popularisation of
electric vehicles (EVs) in high-density cities. Existing studies on public EV charging facilities …
electric vehicles (EVs) in high-density cities. Existing studies on public EV charging facilities …
LoTAD: Long-term traffic anomaly detection based on crowdsourced bus trajectory data
As the development of crowdsourcing technique, acquiring amounts of data in urban cities
becomes possible and reliable, which makes it possible to mine useful and significant …
becomes possible and reliable, which makes it possible to mine useful and significant …
bCharge: Data-driven real-time charging scheduling for large-scale electric bus fleets
We are witnessing a rapid growth of electrified vehicles because of the ever-increasing
concerns over urban air quality and energy security. Compared with other electric vehicles …
concerns over urban air quality and energy security. Compared with other electric vehicles …
FairCharge: A data-driven fairness-aware charging recommendation system for large-scale electric taxi fleets
Our society is witnessing a rapid taxi electrification process. Compared to conventional gas
taxis, a key drawback of electric taxis is their prolonged charging time, which potentially …
taxis, a key drawback of electric taxis is their prolonged charging time, which potentially …
Joint charging and relocation recommendation for e-taxi drivers via multi-agent mean field hierarchical reinforcement learning
Nowadays, most of the taxi drivers have become users of the relocation recommendation
service offered by online ride-hailing platforms (eg, Uber and Didi Chuxing), which could …
service offered by online ride-hailing platforms (eg, Uber and Didi Chuxing), which could …
Experience: Understanding long-term evolving patterns of shared electric vehicle networks
Due to the ever-growing concerns on the air pollution and energy security, many cities have
started to update their taxi fleets with electric ones. Although environmentally friendly, the …
started to update their taxi fleets with electric ones. Although environmentally friendly, the …
sharedcharging: Data-driven shared charging for large-scale heterogeneous electric vehicle fleets
Our society is witnessing a rapid vehicle electrification process. Even though being
environmental-friendly, electric vehicles have not reached their full potentials due to …
environmental-friendly, electric vehicles have not reached their full potentials due to …