A systematic review for smart city data analytics

V Moustaka, A Vakali, LG Anthopoulos - ACM Computing Surveys (cSuR …, 2018 - dl.acm.org
Smart cities (SCs) are becoming highly sophisticated ecosystems at which innovative
solutions and smart services are being deployed. These ecosystems consider SCs as data …

Location prediction on trajectory data: A review

R Wu, G Luo, J Shao, L Tian… - Big data mining and …, 2018 - ieeexplore.ieee.org
Location prediction is the key technique in many location based services including route
navigation, dining location recommendations, and traffic planning and control, to mention a …

Large-scale order dispatch in on-demand ride-hailing platforms: A learning and planning approach

Z Xu, Z Li, Q Guan, D Zhang, Q Li, J Nan, C Liu… - Proceedings of the 24th …, 2018 - dl.acm.org
We present a novel order dispatch algorithm in large-scale on-demand ride-hailing
platforms. While traditional order dispatch approaches usually focus on immediate customer …

Real-time charging station recommendation system for electric-vehicle taxis

Z Tian, T Jung, Y Wang, F Zhang, L Tu… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Electric vehicle (EV) taxis have been introduced into the public transportation systems to
increase EV market penetration. Different from regular taxis that can refuel in minutes, EV …

crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis

C Chen, D Zhang, X Ma, B Guo, L Wang… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Despite the great demand on and attempts at package express shipping services, online
retailers have not yet had a practical solution to make such services profitable. In this paper …

Time-location-relationship combined service recommendation based on taxi trajectory data

X Kong, F Xia, J Wang, A Rahim… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Recently, urban traffic management has encountered a paradoxical situation which is the
empty carrying phenomenon for taxi drivers and the difficulty of taking a taxi for passengers …

GPS data in urban online ride-hailing: A comparative analysis on fuel consumption and emissions

Y Sui, H Zhang, X Song, F Shao, X Yu… - Journal of Cleaner …, 2019 - Elsevier
The transportation sector has become the leading and most-rapidly growing contributor to
greenhouse gas emissions. Promoting low-carbon travel mode is critical to alleviate this …

TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change

C Chen, Y Ding, X Xie, S Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Massive and redundant vehicle trajectory data are continuously sent to the data center via
vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage …

Big trajectory data mining: A survey of methods, applications, and services

D Wang, T Miwa, T Morikawa - Sensors, 2020 - mdpi.com
The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

The rich and the poor: A Markov decision process approach to optimizing taxi driver revenue efficiency

H Rong, X Zhou, C Yang, Z Shafiq, A Liu - Proceedings of the 25th ACM …, 2016 - dl.acm.org
Taxi services play an important role in the public transportation system of large cities.
Improving taxi business efficiency is an important societal problem since it could improve the …